radiens_core.curate_client

Deprecated alias for VidereClient; removed in 0.1.0.

Classes

CurateClient

Bases: VidereClient

Deprecated alias for VidereClient.

Deprecated

Replace CurateClient() with VidereClient(), which has every transform and curation method. Removed in 0.1.0.

METHOD	DESCRIPTION
`apply_protocol`	Run a protocol registered with `set_protocol()`.
`bandpass`	Apply a band-pass filter to a dataset.
`bandstop`	Apply a band-stop (band-reject) filter to a dataset.
`bulk_bandpass`	Apply band-pass filter to multiple datasets at once.
`bulk_bandstop`	Apply band-stop filter to multiple datasets at once.
`bulk_downsample`	Downsample multiple datasets at once.
`bulk_highpass`	Apply high-pass filter to multiple datasets at once.
`bulk_lowpass`	Apply low-pass filter to multiple datasets at once.
`bulk_notch`	Apply notch filter to multiple datasets at once.
`bulk_slice_time`	Slice multiple datasets in time at once.
`car`	Apply Common Average Reference (CAR) re-referencing to a dataset.
`clear_data_sources`	Clear (unlink) data sources from the server.
`close`	Close the client's server connections.
`copy_data_source_file`	Copy a server-side data source file to a new location.
`deselect_channels`	Remove signals from a dataset's selection, leaving the rest untouched.
`downsample`	Downsample a dataset.
`export_data_source`	Copy a data source to a new file in the same format.
`get_all_protocols`	List all saved protocols on the server.
`get_batch_spectral`	Compute spectral analyses for multiple independent requests in one call.
`get_channel_metadata`	Get a dataset's current channel metadata.
`get_detect_params`	Fetch active detection configurations per channel.
`get_dsp_group`	Get DSP filter configuration for a dataset.
`get_kpi_bundle_stats`	Retrieve cross-channel KPI summaries over time for a linked dataset.
`get_kpi_metrics`	Retrieve computed KPI signal metrics for a linked dataset.
`get_kpi_metrics_series`	Retrieve a per-channel KPI metric timeseries for a linked dataset.
`get_kpi_status`	Get the current KPI computation status for a dataset.
`get_neurons`	Retrieve neuron descriptors for a linked dataset.
`get_protocol`	Retrieve a saved protocol by ID.
`get_provenance`	Get the record of how a dataset came to be.
`get_signals`	Retrieve signal data for a specific time range and channel selection.
`get_spectral`	Compute a spectral analysis (periodogram, Welch, or STFT) for a dataset.
`get_spectral_info`	Preview the spectral parameters a request would produce, without reading signal data.
`get_spike_sorter_dashboard`	Get the spike sorter dashboard for monitoring sorting progress.
`get_spike_sorter_ids`	Get the IDs of the spikes filesets registered for a dataset.
`get_spike_sorter_state`	Get the current state and progress of a spike sorter.
`get_spikes_by_channel`	Retrieve spike timestamps per recording channel.
`get_spikes_by_neuron`	Retrieve spike timestamps per sorted neuron.
`get_spikes_ids`	Get the IDs of the spikes filesets registered for a dataset.
`get_spikes_spec`	Retrieve the metadata of a dataset's spikes fileset.
`get_tailing_state`	Report whether a dataset's recording is still growing, and how much of it exists.
`get_units`	List the sorted cells in a fileset, merging each cell's per-site listings.
`healthcheck`	Verify the server is responsive.
`highpass`	Apply a high-pass filter to a dataset.
`kpi_calculate`	Compute KPI for a dataset and wait until it is ready.
`kpi_clear`	Discard all computed KPI for a dataset, including results cached on disk.
`link_data_file`	Link a recording file and return its metadata.
`list_data_source_ids`	List IDs of all currently linked data sources.
`list_data_sources`	List linked data sources and their metadata.
`list_directory`	List files in a remote server-side directory.
`lowpass`	Apply a low-pass filter to a dataset.
`move_data_source_file`	Move a server-side data source file to a new location.
`notch`	Apply a notch filter to a dataset.
`paired_ref`	Apply paired re-referencing between two specific channels.
`remove_data_source_file`	Remove a server-side data source file.
`select_channels`	Add signals to a dataset's selection, leaving the rest selected.
`set_channel_groups`	Make a dataset's color groups exactly groups, discarding existing ones.
`set_detect_params`	Update detection parameters on the given channels.
`set_dsp_group`	Replace a dataset's stage-2 filters.
`set_kpi_packet_dur`	Set the KPI packet duration for a dataset.
`set_protocol`	Register a custom protocol with the server.
`set_selected_channels`	Make a dataset's channel selection exactly signals.
`slice_channels`	Select a subset of channels from a dataset.
`slice_time`	Slice a dataset in time.
`spike_sort`	Sort an offline recording and return the id of the fileset it wrote, once readable.
`spike_sorter_cancel`	Cancel a running spike sorter.
`spike_sorter_command`	Send a command to a running spike sorter.
`spike_sorter_delete`	Delete a spike sorter and release its resources.
`spike_sorter_launch`	Launch a new spike sorter on a dataset.
`update_detect_params`	Update detection thresholds, shadow, window and spike width on the given channels.
`virtual_ref`	Apply virtual reference re-referencing to a dataset.

ATTRIBUTE	DESCRIPTION
`server_version`	Connected server version as `(major, minor, patch)`. TYPE: `ServerVersion`

Attributes

server_version `property`

server_version: ServerVersion

Connected server version as (major, minor, patch).

A development build reports (inf, inf, inf).

Functions

apply_protocol

apply_protocol(protocol_id: str) -> None

Run a protocol registered with set_protocol().

Outputs are not linked; link them with link_data_file().

PARAMETER	DESCRIPTION
`protocol_id`	The ID of a protocol already registered with the server (e.g. `ProtocolSpec.id` from `set_protocol()` or `get_all_protocols()`). TYPE: `str`

bandpass

bandpass(
    dataset: FlexDataset,
    low_freq: float,
    high_freq: float,
    output_path: str | Path,
    *,
    order: int | None = None,
) -> DatasetMetadata

Apply a band-pass filter to a dataset.

PARAMETER	DESCRIPTION
`dataset`	Dataset to filter (metadata object, ID string, or file path). TYPE: `FlexDataset`
`low_freq`	Lower cutoff frequency in Hz. TYPE: `float`
`high_freq`	Upper cutoff frequency in Hz. TYPE: `float`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`
`order`	Filter order. If `None`, the server default is used. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (filtered) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If the server rejects the transform.

bandstop

bandstop(
    dataset: FlexDataset,
    low_freq: float,
    high_freq: float,
    output_path: str | Path,
    *,
    order: int | None = None,
) -> DatasetMetadata

Apply a band-stop (band-reject) filter to a dataset.

PARAMETER	DESCRIPTION
`dataset`	Dataset to filter (metadata object, ID string, or file path). TYPE: `FlexDataset`
`low_freq`	Lower cutoff frequency in Hz. TYPE: `float`
`high_freq`	Upper cutoff frequency in Hz. TYPE: `float`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`
`order`	Filter order. If `None`, the server default is used. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (filtered) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If the server rejects the transform.

bulk_bandpass

bulk_bandpass(
    sources: Sequence[FlexDataset],
    low_freq: float,
    high_freq: float,
    output_dir: str | Path,
    output_suffix: str,
    *,
    order: int | None = None,
) -> None

Apply band-pass filter to multiple datasets at once.

Outputs are written in the first source's file format and are not linked; link them with link_data_file().

PARAMETER	DESCRIPTION
`sources`	Datasets to filter (metadata objects, ID strings, or file paths). TYPE: `Sequence[FlexDataset]`
`low_freq`	Lower cutoff frequency in Hz. TYPE: `float`
`high_freq`	Upper cutoff frequency in Hz. TYPE: `float`
`output_dir`	Directory where output files will be written. TYPE: `str \| Path`
`output_suffix`	Appended to each input's base name after an underscore to name its output. TYPE: `str`
`order`	Filter order. If `None`, the server default is used. TYPE: `int \| None` DEFAULT: `None`

RAISES	DESCRIPTION
`ValueError`	If sources is empty.

bulk_bandstop

bulk_bandstop(
    sources: Sequence[FlexDataset],
    low_freq: float,
    high_freq: float,
    output_dir: str | Path,
    output_suffix: str,
    *,
    order: int | None = None,
) -> None

Apply band-stop filter to multiple datasets at once.

Outputs are written in the first source's file format and are not linked; link them with link_data_file().

PARAMETER	DESCRIPTION
`sources`	Datasets to filter (metadata objects, ID strings, or file paths). TYPE: `Sequence[FlexDataset]`
`low_freq`	Lower cutoff frequency in Hz. TYPE: `float`
`high_freq`	Upper cutoff frequency in Hz. TYPE: `float`
`output_dir`	Directory where output files will be written. TYPE: `str \| Path`
`output_suffix`	Appended to each input's base name after an underscore to name its output. TYPE: `str`
`order`	Filter order. If `None`, the server default is used. TYPE: `int \| None` DEFAULT: `None`

RAISES	DESCRIPTION
`ValueError`	If sources is empty.

bulk_downsample

bulk_downsample(
    sources: Sequence[FlexDataset],
    factor: int,
    output_dir: str | Path,
    output_suffix: str,
) -> None

Downsample multiple datasets at once.

Outputs are written in the first source's file format and are not linked; link them with link_data_file().

The signal is not low-pass filtered first; apply bulk_lowpass() beforehand to avoid aliasing.

PARAMETER	DESCRIPTION
`sources`	Datasets to downsample (metadata objects, ID strings, or file paths). TYPE: `Sequence[FlexDataset]`
`factor`	Downsampling factor (e.g., 2, 4, 10). TYPE: `int`
`output_dir`	Directory where output files will be written. TYPE: `str \| Path`
`output_suffix`	Appended to each input's base name after an underscore to name its output. TYPE: `str`

RAISES	DESCRIPTION
`ValueError`	If sources is empty.

bulk_highpass

bulk_highpass(
    sources: Sequence[FlexDataset],
    frequency: float,
    output_dir: str | Path,
    output_suffix: str,
    *,
    order: int | None = None,
) -> None

Apply high-pass filter to multiple datasets at once.

Outputs are written in the first source's file format and are not linked; link them with link_data_file().

PARAMETER	DESCRIPTION
`sources`	Datasets to filter (metadata objects, ID strings, or file paths). TYPE: `Sequence[FlexDataset]`
`frequency`	Cutoff frequency in Hz. TYPE: `float`
`output_dir`	Directory where output files will be written. TYPE: `str \| Path`
`output_suffix`	Appended to each input's base name after an underscore to name its output. TYPE: `str`
`order`	Filter order. If `None`, the server default is used. TYPE: `int \| None` DEFAULT: `None`

RAISES	DESCRIPTION
`ValueError`	If sources is empty.

bulk_lowpass

bulk_lowpass(
    sources: Sequence[FlexDataset],
    frequency: float,
    output_dir: str | Path,
    output_suffix: str,
    *,
    order: int | None = None,
) -> None

Apply low-pass filter to multiple datasets at once.

Outputs are written in the first source's file format and are not linked; link them with link_data_file().

PARAMETER	DESCRIPTION
`sources`	Datasets to filter (metadata objects, ID strings, or file paths). TYPE: `Sequence[FlexDataset]`
`frequency`	Cutoff frequency in Hz. TYPE: `float`
`output_dir`	Directory where output files will be written. TYPE: `str \| Path`
`output_suffix`	Appended to each input's base name after an underscore to name its output. TYPE: `str`
`order`	Filter order. If `None`, the server default is used. TYPE: `int \| None` DEFAULT: `None`

RAISES	DESCRIPTION
`ValueError`	If sources is empty.

bulk_notch

bulk_notch(
    sources: Sequence[FlexDataset],
    frequency: float,
    bandwidth: float,
    output_dir: str | Path,
    output_suffix: str,
) -> None

Apply notch filter to multiple datasets at once.

Outputs are written in the first source's file format and are not linked; link them with link_data_file().

The notch filter is always second-order, so it takes no order.

PARAMETER	DESCRIPTION
`sources`	Datasets to filter (metadata objects, ID strings, or file paths). TYPE: `Sequence[FlexDataset]`
`frequency`	Center frequency to reject in Hz. Also accepted as the deprecated `notch_freq=`, removed in 0.1.0. TYPE: `float`
`bandwidth`	Width of the rejection band in Hz. Must be positive. TYPE: `float`
`output_dir`	Directory where output files will be written. TYPE: `str \| Path`
`output_suffix`	Appended to each input's base name after an underscore to name its output. TYPE: `str`

RAISES	DESCRIPTION
`ValueError`	If sources is empty, or bandwidth is not positive.

bulk_slice_time

bulk_slice_time(
    sources: Sequence[FlexDataset],
    start_sec: float,
    end_sec: float,
    output_dir: str | Path,
    output_suffix: str,
) -> None

Slice multiple datasets in time at once.

The same times apply to every source, so each must cover them.

Outputs are written in the first source's file format and are not linked; link them with link_data_file().

PARAMETER	DESCRIPTION
`sources`	Datasets to slice (metadata objects, ID strings, or file paths). TYPE: `Sequence[FlexDataset]`
`start_sec`	Start, in seconds of stream time. TYPE: `float`
`end_sec`	End, in seconds of stream time. TYPE: `float`
`output_dir`	Directory where output files will be written. TYPE: `str \| Path`
`output_suffix`	Appended to each input's base name after an underscore to name its output. TYPE: `str`

RAISES	DESCRIPTION
`ValueError`	If sources is empty.

car

car(dataset: FlexDataset, output_path: str | Path) -> DatasetMetadata

Apply Common Average Reference (CAR) re-referencing to a dataset.

Subtracts the mean signal across all channels from each channel.

PARAMETER	DESCRIPTION
`dataset`	Dataset to re-reference (metadata object, ID string, or file path). TYPE: `FlexDataset`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (re-referenced) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If the server rejects the transform.

clear_data_sources

clear_data_sources(dsource_ids: list[str] | str) -> list[str]

Clear (unlink) data sources from the server.

Warning

An empty list clears every dataset on the server, including ones open in the desktop apps.

PARAMETER	DESCRIPTION
`dsource_ids`	List of IDs (or a single ID) to clear. TYPE: `list[str] \| str`

RETURNS	DESCRIPTION
`list[str]`	List of successfully cleared IDs.

close

close() -> None

Close the client's server connections.

copy_data_source_file

copy_data_source_file(
    src_path: str | Path, dest_path: str | Path, *, force: bool = False
) -> None

Copy a server-side data source file to a new location.

PARAMETER	DESCRIPTION
`src_path`	Source file path on the server. TYPE: `str \| Path`
`dest_path`	Destination file path on the server. Must have the same file type as the source. TYPE: `str \| Path`
`force`	If `True`, overwrite existing destination file. TYPE: `bool` DEFAULT: `False`

RAISES	DESCRIPTION
`ValueError`	If a path's suffix does not match a known file type.

deselect_channels

deselect_channels(dataset: FlexDataset, signals: FlexSignalSpec) -> DatasetMetadata

Remove signals from a dataset's selection, leaving the rest untouched.

PARAMETER	DESCRIPTION
`dataset`	Dataset to update (metadata object, ID string, or file path). TYPE: `FlexDataset`
`signals`	Channels to deselect. Same forms as `set_selected_channels()`. TYPE: `FlexSignalSpec`

RETURNS	DESCRIPTION
`DatasetMetadata`	Refreshed dataset metadata carrying the new selection.

RAISES	DESCRIPTION
`ValueError`	If an index is not present in the dataset.
`RadiensError`	On communication failure or server error.

downsample

downsample(
    dataset: FlexDataset, factor: int, output_path: str | Path
) -> DatasetMetadata

Downsample a dataset.

The signal is not low-pass filtered first; apply lowpass() beforehand to avoid aliasing.

PARAMETER	DESCRIPTION
`dataset`	Dataset to downsample (metadata object, ID string, or file path). TYPE: `FlexDataset`
`factor`	Downsampling factor (e.g., 2, 4, 10). TYPE: `int`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (downsampled) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If the server rejects the transform.

export_data_source

export_data_source(
    dsource: FlexDataset, dest_path: str | Path, force: bool = False
) -> None

Copy a data source to a new file in the same format.

The suffix of dest_path is ignored; the output keeps the source's file type.

PARAMETER	DESCRIPTION
`dsource`	The data source to export (metadata object, ID string, or file path). TYPE: `FlexDataset`
`dest_path`	Destination file path. TYPE: `str \| Path`
`force`	If `True`, overwrite existing destination file. TYPE: `bool` DEFAULT: `False`

get_all_protocols

get_all_protocols() -> list[ProtocolSpec]

List all saved protocols on the server.

RETURNS	DESCRIPTION
`list[ProtocolSpec]`	Summary of every protocol currently registered.

get_batch_spectral

get_batch_spectral(
    items: Sequence[tuple[FlexDataset, SpectralQuery]],
) -> BatchSpectralResult

Compute spectral analyses for multiple independent requests in one call.

Faster than repeated get_spectral() calls, which cost one round trip each.

PARAMETER	DESCRIPTION
`items`	`(dataset, query)` pairs, one per spectral request. Each dataset accepts a metadata object, ID string, or file path. TYPE: `Sequence[tuple[FlexDataset, SpectralQuery]]`

RETURNS	DESCRIPTION
`BatchSpectralResult`	One `SpectralResult` per submitted item, in request order.

RAISES	DESCRIPTION
`RadiensError`	On communication failure or server error.

get_channel_metadata

get_channel_metadata(dataset: FlexDataset) -> ChannelMetadata

Get a dataset's current channel metadata.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`

RETURNS	DESCRIPTION
`ChannelMetadata`	Channel configuration including selection state, probe geometry, and color group assignments.

RAISES	DESCRIPTION
`RadiensError`	On communication failure or server error.

get_detect_params

get_detect_params(
    spike_sorter_id: str, channels: list[int] | None = None
) -> dict[int, SpikeDetectParams]

Fetch active detection configurations per channel.

PARAMETER	DESCRIPTION
`spike_sorter_id`	ID of a running spike sorter, or a dataset ID to read the dataset's own settings. TYPE: `str`
`channels`	Optional list of native channel indices. If `None`, returns params for all configured channels. TYPE: `list[int] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`dict[int, SpikeDetectParams]`	Map from native channel index to its `SpikeDetectParams`.

get_dsp_group

get_dsp_group(dataset: FlexDataset) -> DSPGroup

Get DSP filter configuration for a dataset.

A recording opens with the stage-2 chain that was in force when recording started.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`

RETURNS	DESCRIPTION
`DSPGroup`	The current hardware and software filter parameters.

get_kpi_bundle_stats

get_kpi_bundle_stats(
    dataset: FlexDataset,
    stats: list[FlexBundleStatId],
    window_dur_sec: float | None,
    channel_indices: list[int] | None = None,
    time_range: FlexTimeRange | None = None,
    signal_type: FlexSignalType = AMP,
) -> KpiBundleStatsResult

Retrieve cross-channel KPI summaries over time for a linked dataset.

Each requested stat is a per-channel metric collapsed across the selected channels — for example ("rms", "mean") is the average RMS over the probe, and ("snr", "count") is the number of channels with detected events (channel yield). The per-channel matrix is never returned; use get_kpi_metrics_series() for that.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`stats`	Bundle stats to compute. Accepts `BundleStatId` objects, metric names (reduction defaults to `MEAN`), or `(metric, reduction)` pairs. TYPE: `list[FlexBundleStatId]`
`window_dur_sec`	Target bin width in seconds. Window boundaries snap to the KPI packet duration, so read each window's bounds from the result rather than assuming `i * window_dur_sec`. `None` uses the native packet duration (one window per packet). `0` or a value at least as large as the requested span produces one window over the whole range. TYPE: `float \| None`
`channel_indices`	Native channel indices forming the channel population. `None` uses the selected channels. TYPE: `list[int] \| None` DEFAULT: `None`
`time_range`	Range to read; see `FlexTimeRange`. `None` reads all of it. A lookback is not accepted. TYPE: `FlexTimeRange \| None` DEFAULT: `None`
`signal_type`	Signal type to query. Accepts `SignalType` enum or string name (e.g. `"amp"`). Defaults to `AMP`. TYPE: `FlexSignalType` DEFAULT: `AMP`

RETURNS	DESCRIPTION
`KpiBundleStatsResult`	Time-ordered windows, each holding one value per requested stat.

RAISES	DESCRIPTION
`CapabilityError`	If the connected server predates the current KPI metric set.
`TimeRangeError`	If the range falls outside the dataset, or KPI has not yet been computed over it; see `kpi_calculate()`.
`SignalSelectionError`	If a requested channel index is not in the dataset.
`ValueError`	If time_range is a lookback.
`RadiensError`	On communication failure or server error.

get_kpi_metrics

get_kpi_metrics(
    dataset: FlexDataset,
    metrics: list[FlexKpiMetricId],
    channel_indices: list[int] | None = None,
    time_range: FlexTimeRange | None = None,
    signal_type: FlexSignalType = AMP,
    *,
    service_mode: FlexKpiServiceMode = RANGE,
    stream_lookback_sec: float | None = None,
) -> KpiMetricsResult

Retrieve computed KPI signal metrics for a linked dataset.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`metrics`	List of KPI metric identifiers. Accepts `KpiMetricId` objects, `KpiMetric` members, or metric name strings (case-insensitive). TYPE: `list[FlexKpiMetricId]`
`channel_indices`	Native channel indices to query. `None` returns the selected channels. TYPE: `list[int] \| None` DEFAULT: `None`
`time_range`	Range to read; see `FlexTimeRange`. `None` reads all of it. A lookback is not accepted. TYPE: `FlexTimeRange \| None` DEFAULT: `None`
`signal_type`	Signal type to query. Accepts `SignalType` enum or string name (e.g. `"amp"`). Defaults to `AMP`. TYPE: `FlexSignalType` DEFAULT: `AMP`
`service_mode`	Which answering mode to use. `RANGE` (the default) aggregates exactly over the requested range. `STREAM` applies only to live streams; on a recording it returns NaN. TYPE: `FlexKpiServiceMode` DEFAULT: `RANGE`
`stream_lookback_sec`	Moving-average window in seconds. Used only when service_mode is `STREAM`. TYPE: `float \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`KpiMetricsResult`	One value per channel and metric, labeled with the channel of each row and the metric of each column; see `KpiMetricsResult`.

RAISES	DESCRIPTION
`CapabilityError`	If the connected server predates the current KPI metric set.
`TimeRangeError`	If the range falls outside the dataset, or KPI has not yet been computed over it; see `kpi_calculate()`.
`SignalSelectionError`	If a requested channel index is not in the dataset.
`ValueError`	If time_range is a lookback.
`RadiensError`	On communication failure or server error.

get_kpi_metrics_series

get_kpi_metrics_series(
    dataset: FlexDataset,
    metrics: list[FlexKpiMetricId],
    window_dur_sec: float | None,
    channel_indices: list[int] | None = None,
    time_range: FlexTimeRange | None = None,
    signal_type: FlexSignalType = AMP,
) -> KpiMetricsSeriesResult

Retrieve a per-channel KPI metric timeseries for a linked dataset.

Returns one (n_channels, n_metrics) snapshot per time window, each aggregating exactly the KPI packets in that window. Use this instead of repeated get_kpi_metrics() calls to track metrics over a recording.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`metrics`	List of KPI metric identifiers. Accepts `KpiMetricId` objects, `KpiMetric` members, or metric name strings (case-insensitive). TYPE: `list[FlexKpiMetricId]`
`window_dur_sec`	Target bin width in seconds. Window boundaries snap to the KPI packet duration, so read each window's bounds from the result rather than assuming `i * window_dur_sec`. `None` uses the native packet duration (one window per packet). `0` or a value at least as large as the requested span produces a single window, equivalent to `get_kpi_metrics()`. TYPE: `float \| None`
`channel_indices`	Native channel indices to query. `None` returns the selected channels. TYPE: `list[int] \| None` DEFAULT: `None`
`time_range`	Range to read; see `FlexTimeRange`. `None` reads all of it. A lookback is not accepted. TYPE: `FlexTimeRange \| None` DEFAULT: `None`
`signal_type`	Signal type to query. Accepts `SignalType` enum or string name (e.g. `"amp"`). Defaults to `AMP`. TYPE: `FlexSignalType` DEFAULT: `AMP`

RETURNS	DESCRIPTION
`KpiMetricsSeriesResult`	Time-ordered windows sharing one channel/metric ordering.

RAISES	DESCRIPTION
`CapabilityError`	If the connected server predates the current KPI metric set.
`TimeRangeError`	If the range falls outside the dataset, or KPI has not yet been computed over it; see `kpi_calculate()`.
`SignalSelectionError`	If a requested channel index is not in the dataset.
`ValueError`	If time_range is a lookback.
`RadiensError`	On communication failure or server error.

get_kpi_status

get_kpi_status(dataset: FlexDataset) -> KpiStatus

Get the current KPI computation status for a dataset.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`

RETURNS	DESCRIPTION
`KpiStatus`	The KPI computation status; see `KpiStatus`.

RAISES	DESCRIPTION
`CapabilityError`	If the connected server predates the current KPI metric set.
`RadiensError`	On communication failure or server error.

get_neurons

get_neurons(
    dataset: FlexDataset,
    channels: FlexSignalSpec | None = None,
    time_range: FlexTimeRange | None = None,
    *,
    spikes_id: str | None = None,
) -> NeuronsResult

Retrieve neuron descriptors for a linked dataset.

Returns spike count, rate, SNR, waveform peak amplitude, and probe position per site. A cell appears under every site that recorded it, and the unclustered (0) and bad/delete bins are included; use get_units() for one entry per cell.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`channels`	Channels to include. Accepts a `list[int]` of amplifier channel indices, a `SignalSpec`, `"all"`, or `None`. `None` returns all amplifier channels. TYPE: `FlexSignalSpec \| None` DEFAULT: `None`
`time_range`	Range to read; see `FlexTimeRange`. `None` reads all of it. A lookback is not accepted. TYPE: `FlexTimeRange \| None` DEFAULT: `None`
`spikes_id`	ID of the spikes fileset to read. `None` uses the first entry of `DatasetMetadata.associated_spikes_ids`. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`NeuronsResult`	Neuron descriptors grouped by native channel index.

RAISES	DESCRIPTION
`ValueError`	If a channel index is not in the dataset, or time_range is a lookback.
`RadiensError`	If spikes_id is not given and the dataset has no spikes fileset, or on communication failure or server error.

get_protocol

get_protocol(protocol_id: str) -> ProtocolSpec

Retrieve a saved protocol by ID.

PARAMETER	DESCRIPTION
`protocol_id`	ID of the protocol to retrieve. TYPE: `str`

RETURNS	DESCRIPTION
`ProtocolSpec`	Minimal summary of the protocol.

get_provenance

get_provenance(dataset: FlexDataset) -> Provenance

Get the record of how a dataset came to be.

The record lists, in order, every operation that shaped the dataset's samples: filters, decimations, channel and time slices, sensor remaps, and the detect, measure and sort steps that produced a derived fileset. A sort operation carries its seed, which SpikeSorterLaunchParams.seed accepts to reproduce the sort on a server that supports seeded sorts.

The stage-2 chain in force when recording started is returned separately. It is a display setting and did not alter the recorded samples.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`

RETURNS	DESCRIPTION
`Provenance`	The record and the stage-2 chain. A dataset written before records existed gets a record reconstructed from its older metadata and has no stage-2 chain.

RAISES	DESCRIPTION
`CapabilityError`	If the connected server is too old to support this method.
`RadiensError`	On communication failure or server error.

get_signals

get_signals(
    dataset: FlexDataset,
    time_range: FlexTimeRange | None = None,
    signals: FlexSignalSpec | None = None,
    *,
    apply_dsp: bool = False,
) -> SignalArrays

Retrieve signal data for a specific time range and channel selection.

Warning

With apply_dsp set, only selected channels can be read: asking for an unselected one raises ServerCommunicationError, and so does signals=None whenever any channel is deselected. Pass {"amp": "selected"}, or select more channels first with set_selected_channels().

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`time_range`	Range to read; see `FlexTimeRange`. `None` reads all of it. TYPE: `FlexTimeRange \| None` DEFAULT: `None`
`signals`	Signal selection (e.g. list of amplifier channel indices), or `{"amp": "selected"}` for the dataset's channel selection. `None` returns all amplifier channels. TYPE: `FlexSignalSpec \| None` DEFAULT: `None`
`apply_dsp`	Return the signal filtered by the dataset's current stage-2 DSP group, which KPI metrics are computed through and a newly launched sort detects on. `False` (the default) returns unfiltered wideband. Use this when comparing samples against spike times or KPI metrics: those come from the server's causal filters, so a zero-phase filter applied client-side puts features at different times. Filter state does not carry over between calls: the same range read with the same stage-2 chain and channel selection returns the same samples. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`SignalArrays`	The requested signal data as numpy arrays. Its `time_range` is the range served, which is shorter than requested when the server holds less, e.g. the range runs past the end of the recording.

RAISES	DESCRIPTION
`ValueError`	If a channel index is not in the dataset, or, with an older server, the range ends before the dataset starts.
`CapabilityError`	If `apply_dsp` is set and the connected server predates it, or the range is a lookback and the server is too old to serve one.
`RadiensError`	On communication failure or server error.

get_spectral

get_spectral(dataset: FlexDataset, query: SpectralQuery) -> SpectralResult

Compute a spectral analysis (periodogram, Welch, or STFT) for a dataset.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`query`	Channels, alignment windows, algorithm, and units to compute. TYPE: `SpectralQuery`

RETURNS	DESCRIPTION
`SpectralResult`	Frequency (and, for `TIME_RESOLVED` mode, time) axes plus per-channel power for each requested range.

RAISES	DESCRIPTION
`RadiensError`	On communication failure or server error.

get_spectral_info

get_spectral_info(
    *,
    fs: float,
    duration_sec: float,
    num_channels: int,
    query: SpectralQuery,
    dataset: FlexDataset | None = None,
) -> SpectralInfoResult

Preview the spectral parameters a request would produce, without reading signal data.

PARAMETER	DESCRIPTION
`fs`	Sampling rate, in Hz. TYPE: `float`
`duration_sec`	Signal duration to preview against, in seconds. TYPE: `float`
`num_channels`	Number of channels to preview against. TYPE: `int`
`query`	Algorithm, window, and frequency-range settings to preview. `query.ntv_chan_idxs`, `query.ranges` and `query.units` are ignored. With `query.apply_dsp` set, dataset's current stage-2 chain is reported in `applied_dsp_params`. TYPE: `SpectralQuery`
`dataset`	Dataset whose stage-2 chain fills `applied_dsp_params`. Used only with `query.apply_dsp`. TYPE: `FlexDataset \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`SpectralInfoResult`	Achieved frequency/time resolution, algorithm-specific parameters, output shape, and an estimated memory footprint.

RAISES	DESCRIPTION
`RadiensError`	On communication failure or server error.

get_spike_sorter_dashboard

get_spike_sorter_dashboard(
    spike_sorter_id: str, elements: list[FlexDashElement] | None = None
) -> SpikeSorterDashboard

Get the spike sorter dashboard for monitoring sorting progress.

PARAMETER	DESCRIPTION
`spike_sorter_id`	Unique ID of the spike sorter to query. TYPE: `str`
`elements`	Optional list of dashboard elements to include. Each element can be a `DashElement` enum, string name (e.g. `"general"`), or int value (`1`-`8`). `None` requests `ENABLED_PORTS` and `GENERAL`. TYPE: `list[FlexDashElement] \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`SpikeSorterDashboard`	Dashboard data for the requested elements.

get_spike_sorter_ids

get_spike_sorter_ids(dataset: FlexDataset) -> list[str]

Get the IDs of the spikes filesets registered for a dataset.

Deprecated

Use get_spikes_ids() instead. This returns spikes fileset IDs, not spike sorter IDs.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`

get_spike_sorter_state

get_spike_sorter_state(spike_sorter_id: str) -> SpikeSorterState

Get the current state and progress of a spike sorter.

PARAMETER	DESCRIPTION
`spike_sorter_id`	Unique ID of the spike sorter to query. TYPE: `str`

RETURNS	DESCRIPTION
`SpikeSorterState`	Current state including system status, progress, and messages.

get_spikes_by_channel

get_spikes_by_channel(
    dataset: FlexDataset,
    channels: FlexSignalSpec | None = None,
    time_range: FlexTimeRange | None = None,
    include_waveforms: bool = False,
    *,
    spikes_id: str | None = None,
) -> dict[int, ChannelSpikeData]

Retrieve spike timestamps per recording channel.

Returns one ChannelSpikeData entry per channel that has spikes in the requested time range.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`channels`	Channels to include. Accepts a `list[int]` of amplifier channel indices, a `SignalSpec`, `"all"`, or `None`. `None` returns all amplifier channels. TYPE: `FlexSignalSpec \| None` DEFAULT: `None`
`time_range`	Range to read; see `FlexTimeRange`. `None` reads all of it. A lookback is not accepted. TYPE: `FlexTimeRange \| None` DEFAULT: `None`
`include_waveforms`	If `True`, also fetch each spike's neuron label and waveform snippet, spanning the detecting site and its detection neighborhood. Costs an extra request, and the payload grows with the neighborhood size. Default `False`. TYPE: `bool` DEFAULT: `False`
`spikes_id`	ID of the spikes fileset to read. `None` uses the first entry of `DatasetMetadata.associated_spikes_ids`. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`dict[int, ChannelSpikeData]`	Map from native channel index to spike data.

RAISES	DESCRIPTION
`ValueError`	If a channel index is not in the dataset, or time_range is a lookback.
`RadiensError`	If spikes_id is not given and the dataset has no spikes fileset, or on communication failure or server error.

get_spikes_by_neuron

get_spikes_by_neuron(
    dataset: FlexDataset,
    channels: FlexSignalSpec | None = None,
    time_range: FlexTimeRange | None = None,
    include_waveforms: bool = False,
    *,
    spikes_id: str | None = None,
) -> dict[int, NeuronSpikeData]

Retrieve spike timestamps per sorted neuron.

Same data as get_spikes_by_channel() but regrouped by neuron identity rather than by channel.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`channels`	Channels to include. Accepts a `list[int]` of amplifier channel indices, a `SignalSpec`, `"all"`, or `None`. `None` returns all amplifier channels. TYPE: `FlexSignalSpec \| None` DEFAULT: `None`
`time_range`	Range to read; see `FlexTimeRange`. `None` reads all of it. A lookback is not accepted. TYPE: `FlexTimeRange \| None` DEFAULT: `None`
`include_waveforms`	If `True`, also fetch each spike's waveform, one row per spike on the neuron's own sites; see `NeuronSpikeData.waveforms`. Costs an extra request, and the payload grows with the neighborhood size. Default `False`. TYPE: `bool` DEFAULT: `False`
`spikes_id`	ID of the spikes fileset to read. `None` uses the first entry of `DatasetMetadata.associated_spikes_ids`. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`dict[int, NeuronSpikeData]`	Map from integer neuron label to spike data. Labels are unique within a probe, so on a multi-probe recording units sharing a label are merged.

RAISES	DESCRIPTION
`CapabilityError`	If `include_waveforms` is set and the connected server cannot attribute waveforms to neurons.
`ValueError`	If a channel index is not in the dataset, or time_range is a lookback.
`RadiensError`	If spikes_id is not given and the dataset has no spikes fileset, or on communication failure or server error.

get_spikes_ids

get_spikes_ids(dataset: FlexDataset) -> list[str]

Get the IDs of the spikes filesets registered for a dataset.

The same list as DatasetMetadata.associated_spikes_ids. A sort still running is not listed.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`

RETURNS	DESCRIPTION
`list[str]`	List of spikes fileset IDs.

get_spikes_spec

get_spikes_spec(dataset: FlexDataset, *, spikes_id: str | None = None) -> SpikesSpec

Retrieve the metadata of a dataset's spikes fileset.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`spikes_id`	ID of the spikes fileset to read. `None` uses the first entry of `DatasetMetadata.associated_spikes_ids`. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`SpikesSpec`	The fileset's ID, neuron count, enabled channels, detection settings and the time range its spikes cover.

RAISES	DESCRIPTION
`RadiensError`	If spikes_id is not given and the dataset has no spikes fileset, or on communication failure or server error.

get_tailing_state

get_tailing_state(dataset: FlexDataset) -> TailingState

Report whether a dataset's recording is still growing, and how much of it exists.

The returned available_time_range is the recording's current extent; DatasetMetadata.time_range keeps the extent from when the server first loaded it. With a recent Radiens server, reads with an open range, such as get_signals(dsid), follow the current extent.

KPI follows the growing file from the first call that sees it LIVE. If the recording was linked before it started, call this again once it is live. Requires a license that includes live monitoring.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`

RETURNS	DESCRIPTION
`TailingState`	The recording verdict and the extent available at call time.

RAISES	DESCRIPTION
`CapabilityError`	If the connected server is too old to support this method.
`RadiensError`	On communication failure or server error.

get_units

get_units(
    dataset: FlexDataset,
    channels: FlexSignalSpec | None = None,
    *,
    spikes_id: str | None = None,
) -> list[Unit]

List the sorted cells in a fileset, merging each cell's per-site listings.

get_neurons() lists a cell once under every site that saw it. This merges those listings: counts and rates sum, and the site, SNR and depth come from the listing with the most spikes. Unclustered spikes (label 0) and the bad/delete bins are left out.

PARAMETER	DESCRIPTION
`dataset`	Dataset to query (metadata object, ID string, or file path). TYPE: `FlexDataset`
`channels`	Channels whose listings to include; `None` is every amplifier channel. A cell is kept if any of its sites is included, and its counts and rates cover only the included sites. TYPE: `FlexSignalSpec \| None` DEFAULT: `None`
`spikes_id`	ID of the spikes fileset to read. `None` uses the first entry of `DatasetMetadata.associated_spikes_ids`. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`list[Unit]`	One entry per sorted cell, ascending by label.

RAISES	DESCRIPTION
`ValueError`	If a channel index is not in the dataset.
`RadiensError`	If spikes_id is not given and the dataset has no spikes fileset, or on communication failure or server error.

healthcheck

healthcheck(service: ServiceEndpoint = RADIENS_LIFECYCLE) -> None

Verify the server is responsive.

PARAMETER	DESCRIPTION
`service`	Service to probe: `RADIENS_LIFECYCLE`, `RADIENS_CORE`, `RADIENS_SPIKE_SORTER`, `RADIENS_DEV` or `RADIENS_DASHBOARDS`. TYPE: `ServiceEndpoint` DEFAULT: `RADIENS_LIFECYCLE`

RAISES	DESCRIPTION
`ValueError`	If service is not a radiensserver service.
`RadiensError`	If the health check fails or the server is unresponsive.

highpass

highpass(
    dataset: FlexDataset,
    frequency: float,
    output_path: str | Path,
    *,
    order: int | None = None,
) -> DatasetMetadata

Apply a high-pass filter to a dataset.

PARAMETER	DESCRIPTION
`dataset`	Dataset to filter (metadata object, ID string, or file path). TYPE: `FlexDataset`
`frequency`	Cutoff frequency in Hz. TYPE: `float`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`
`order`	Filter order. If `None`, the server default is used. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (filtered) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If the server rejects the transform.

kpi_calculate

kpi_calculate(dataset: FlexDataset) -> None

Compute KPI for a dataset and wait until it is ready.

Returns once KPI covers the dataset's current time range: the whole file, unless the recording is still being written.

PARAMETER	DESCRIPTION
`dataset`	Dataset to compute KPIs for (metadata object, ID string, or file path). TYPE: `FlexDataset`

RAISES	DESCRIPTION
`CapabilityError`	If the connected server predates the current KPI metric set.
`RadiensError`	On communication failure or server error.

kpi_clear

kpi_clear(dataset: FlexDataset) -> None

Discard all computed KPI for a dataset, including results cached on disk.

Computation stops until kpi_calculate() is called or a KPI, detection or stage-2 setting changes, either of which restarts it. Those changes do not need a clear first; the server recomputes on its own.

PARAMETER	DESCRIPTION
`dataset`	Dataset to clear KPI state for (metadata object, ID string, or file path). TYPE: `FlexDataset`

RAISES	DESCRIPTION
`CapabilityError`	If the connected server predates the current KPI metric set.
`RadiensError`	On communication failure or server error.

link_data_file

link_data_file(
    fpath: str | Path, file_type: RadiensFileType | None = None, *, live: bool = False
) -> DatasetMetadata

Link a recording file and return its metadata.

Also registers any .spikes file found alongside the recording, so it joins the sorts already known for this recording in associated_spikes_ids and the spike data methods on VidereClient can read it.

PARAMETER	DESCRIPTION
`fpath`	Path to the recording file (e.g. `.xdat`, `.rhd`). TYPE: `str \| Path`
`file_type`	Recording file type. `None` infers it from the path's suffix; inference covers common suffixes only, so pass it explicitly otherwise. TYPE: `RadiensFileType \| None` DEFAULT: `None`
`live`	Opt into live monitoring for a recording that is still being written, like "Open Live" in Videre. Required for KPI to follow a growing file; without it, KPI covers only the extent at link time. Has no effect on a finalized recording. Requires a license that includes live monitoring. TYPE: `bool` DEFAULT: `False`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the linked dataset. For a recording still being written, `time_range` is the extent when the server first loaded it, even with live set; `get_tailing_state()` reports the current extent.

RAISES	DESCRIPTION
`ValueError`	If file_type is `None` and no file type claims the path's suffix.
`CapabilityError`	If live is true and the connected server is too old to support it.
`RadiensError`	On communication failure or server error.

list_data_source_ids

list_data_source_ids() -> list[str]

List IDs of all currently linked data sources.

RETURNS	DESCRIPTION
`list[str]`	List of data source IDs.

list_data_sources

list_data_sources(
    dsource_ids: list[str] | str | None = None,
) -> dict[str, DatasetMetadata]

List linked data sources and their metadata.

Each entry costs an extra request, so pass dsource_ids when only a few are of interest.

PARAMETER	DESCRIPTION
`dsource_ids`	IDs to list, or a single ID. `None` lists all. TYPE: `list[str] \| str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`dict[str, DatasetMetadata]`	Map of data source ID to metadata.

list_directory

list_directory(directory: str | Path) -> list[FileInfo]

List files in a remote server-side directory.

PARAMETER	DESCRIPTION
`directory`	Server-side directory path to list. `~` and relative paths are resolved on this machine, as for the other file methods. TYPE: `str \| Path`

RETURNS	DESCRIPTION
`list[FileInfo]`	Metadata for each file found in the directory.

RAISES	DESCRIPTION
`CapabilityError`	If the connected server is too old to support this method.
`RadiensError`	On communication failure or server error.

lowpass

lowpass(
    dataset: FlexDataset,
    frequency: float,
    output_path: str | Path,
    *,
    order: int | None = None,
) -> DatasetMetadata

Apply a low-pass filter to a dataset.

PARAMETER	DESCRIPTION
`dataset`	Dataset to filter (metadata object, ID string, or file path). TYPE: `FlexDataset`
`frequency`	Cutoff frequency in Hz. TYPE: `float`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`
`order`	Filter order. If `None`, the server default is used. TYPE: `int \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (filtered) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If the server rejects the transform.

move_data_source_file

move_data_source_file(
    src_path: str | Path, dest_path: str | Path, *, force: bool = False
) -> None

Move a server-side data source file to a new location.

PARAMETER	DESCRIPTION
`src_path`	Source file path on the server. TYPE: `str \| Path`
`dest_path`	Destination file path on the server. Must have the same file type as the source. TYPE: `str \| Path`
`force`	If `True`, overwrite existing destination file. TYPE: `bool` DEFAULT: `False`

RAISES	DESCRIPTION
`ValueError`	If a path's suffix does not match a known file type.

notch

notch(
    dataset: FlexDataset, frequency: float, bandwidth: float, output_path: str | Path
) -> DatasetMetadata

Apply a notch filter to a dataset.

The notch filter is always second-order, so it takes no order.

PARAMETER	DESCRIPTION
`dataset`	Dataset to filter (metadata object, ID string, or file path). TYPE: `FlexDataset`
`frequency`	Center frequency to reject, in Hz (e.g., 60.0 for line noise). TYPE: `float`
`bandwidth`	Width of the rejection band in Hz. Must be positive. TYPE: `float`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (filtered) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format, or bandwidth is not positive.
`RadiensError`	If the server rejects the transform.

paired_ref

paired_ref(
    dataset: FlexDataset, ref_channel: int, target_channel: int, output_path: str | Path
) -> DatasetMetadata

Apply paired re-referencing between two specific channels.

References one target channel against one reference channel.

PARAMETER	DESCRIPTION
`dataset`	Dataset to re-reference (metadata object, ID string, or file path). TYPE: `FlexDataset`
`ref_channel`	Native channel index of the reference electrode. TYPE: `int`
`target_channel`	Native channel index of the channel to re-reference. TYPE: `int`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (re-referenced) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If the server rejects the transform.

remove_data_source_file

remove_data_source_file(path: str | Path, *, force: bool = False) -> None

Remove a server-side data source file.

A dataset linked from this file is unlinked first, including one open in the desktop apps.

PARAMETER	DESCRIPTION
`path`	File path on the server to remove. TYPE: `str \| Path`
`force`	Has no effect. TYPE: `bool` DEFAULT: `False`

RAISES	DESCRIPTION
`ValueError`	If a path's suffix does not match a known file type.

select_channels

select_channels(dataset: FlexDataset, signals: FlexSignalSpec) -> DatasetMetadata

Add signals to a dataset's selection, leaving the rest selected.

PARAMETER	DESCRIPTION
`dataset`	Dataset to update (metadata object, ID string, or file path). TYPE: `FlexDataset`
`signals`	Channels to select. Same forms as `set_selected_channels()`. TYPE: `FlexSignalSpec`

RETURNS	DESCRIPTION
`DatasetMetadata`	Refreshed dataset metadata carrying the new selection.

RAISES	DESCRIPTION
`ValueError`	If an index is not present in the dataset.
`RadiensError`	On communication failure or server error.

set_channel_groups

set_channel_groups(
    dataset: FlexDataset, groups: Sequence[FlexSignalSpec]
) -> DatasetMetadata

Make a dataset's color groups exactly groups, discarding existing ones.

Groups are indexed in the order given, but each signal type within a group gets its own index and a group matching no channels gets none, so read the resulting indices from color_group_idxs on the returned metadata rather than assuming 1..N.

PARAMETER	DESCRIPTION
`dataset`	Dataset to update (metadata object, ID string, or file path). TYPE: `FlexDataset`
`groups`	Desired groups, in order. Each accepts the same forms as `set_selected_channels()`. TYPE: `Sequence[FlexSignalSpec]`

RETURNS	DESCRIPTION
`DatasetMetadata`	Refreshed dataset metadata carrying the new groups.

RAISES	DESCRIPTION
`ValueError`	If a requested channel is not selected; only selected channels can be grouped.
`RadiensError`	On communication failure or server error.

set_detect_params

set_detect_params(
    spike_sorter_id: str, params: SpikeDetectParams, channels: list[int]
) -> None

Update detection parameters on the given channels.

Deprecated

Use update_detect_params() instead.

PARAMETER	DESCRIPTION
`spike_sorter_id`	As for `update_detect_params()`. TYPE: `str`
`params`	As for `update_detect_params()`. TYPE: `SpikeDetectParams`
`channels`	As for `update_detect_params()`. TYPE: `list[int]`

set_dsp_group

set_dsp_group(
    dataset: FlexDataset, *, stage: FlexFilterStage, params: list[FlexDSPParams]
) -> None

Replace a dataset's stage-2 filters.

Only stage 2 can be changed on a dataset; hardware and stage-1 filters are part of how the recording was made. KPI for the dataset is recomputed through the new chain in the background; call kpi_calculate() to wait for it.

Warning

params replaces the stage on every port, and a filter applies only to its port's channels. List a filter once per port it applies to; a port missing from the list loses its filters.

PARAMETER	DESCRIPTION
`dataset`	Dataset to update (metadata object, ID string, or file path). TYPE: `FlexDataset`
`stage`	The filter stage to update. Must resolve to `FilterStage.STAGE2` (`"stage2"` or `2`). TYPE: `FlexFilterStage`
`params`	Filter parameters for this stage. Each item can be a `DSPParams` or a `DSPParamsDict`. Every filter goes in stage, whatever its own `stage`. TYPE: `list[FlexDSPParams]`

RAISES	DESCRIPTION
`ValueError`	If a filter sets `zero_phase`, which is not supported, or breaks a field rule that `DSPParams` documents.
`ServerCommunicationError`	If stage is not stage 2, or the server cannot build a filter.
`CapabilityError`	If a filter sets a non-Butterworth `family` or a `ripple_db` and the connected server predates them.

set_kpi_packet_dur

set_kpi_packet_dur(dataset: FlexDataset, packet_dur: float) -> None

Set the KPI packet duration for a dataset.

KPI for the dataset is recomputed in the background; call kpi_calculate() to wait for it.

PARAMETER	DESCRIPTION
`dataset`	Dataset to configure (metadata object, ID string, or file path). TYPE: `FlexDataset`
`packet_dur`	Duration of each KPI packet in seconds. TYPE: `float`

RAISES	DESCRIPTION
`CapabilityError`	If the connected server predates the current KPI metric set.
`RadiensError`	On communication failure or server error.

set_protocol

set_protocol(
    nodes: list[TransformNode],
    edges: list[TransformEdge],
    *,
    protocol_id: str | None = None,
) -> ProtocolSpec

Register a custom protocol with the server.

Build a directed acyclic graph of transform nodes and register it for later execution with apply_protocol(). The server validates the graph and returns a summary.

Use TransformNode factory methods to construct nodes, and TransformEdge to wire them together:

src = TransformNode.source(meta)
hp = TransformNode.highpass(300.0)
car = TransformNode.car()
snk = TransformNode.sink("result", "/output", RadiensFileType.XDAT)

edges = [
    TransformEdge(source=src.id, target=hp.id),
    TransformEdge(source=hp.id, target=car.id),
    TransformEdge(source=car.id, target=snk.id),
]

spec = client.set_protocol([src, hp, car, snk], edges)
client.apply_protocol(spec.id)

PARAMETER	DESCRIPTION
`nodes`	Ordered list of transform nodes forming the graph. TYPE: `list[TransformNode]`
`edges`	Directed edges connecting the nodes by ID. TYPE: `list[TransformEdge]`
`protocol_id`	Optional protocol ID. A UUID is generated if not provided. TYPE: `str \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`ProtocolSpec`	Summary of the validated (server-registered) protocol.

RAISES	DESCRIPTION
`RadiensError`	If the server marks one or more nodes as invalid.

set_selected_channels

set_selected_channels(dataset: FlexDataset, signals: FlexSignalSpec) -> DatasetMetadata

Make a dataset's channel selection exactly signals.

Only signal types named in signals are touched — passing a bare list of amp indices leaves the GPIO selection alone. Clear one type with {"amp": []}.

PARAMETER	DESCRIPTION
`dataset`	Dataset to update (metadata object, ID string, or file path). TYPE: `FlexDataset`
`signals`	Desired selection — list of amp indices, `"all"`, `SignalSpec.amp([...])`, or a dict for multiple signal types. TYPE: `FlexSignalSpec`

RETURNS	DESCRIPTION
`DatasetMetadata`	Refreshed dataset metadata carrying the new selection.

RAISES	DESCRIPTION
`ValueError`	If an index is not present in the dataset.
`RadiensError`	On communication failure or server error.

slice_channels

slice_channels(
    dataset: FlexDataset, channels: Sequence[int], output_path: str | Path
) -> DatasetMetadata

Select a subset of channels from a dataset.

PARAMETER	DESCRIPTION
`dataset`	Dataset to slice (metadata object, ID string, or file path). TYPE: `FlexDataset`
`channels`	System channel indices (`KeyIdxs.sys`) to keep, which number amplifier, analog and digital channels together. Channels left out are dropped, analog and digital ones included. TYPE: `Sequence[int]`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new dataset containing only the selected channels.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If a channel index is not in the dataset, or the server rejects the transform.

slice_time

slice_time(
    dataset: FlexDataset, start_sec: float, end_sec: float, output_path: str | Path
) -> DatasetMetadata

Slice a dataset in time.

PARAMETER	DESCRIPTION
`dataset`	Dataset to slice (metadata object, ID string, or file path). TYPE: `FlexDataset`
`start_sec`	Start, in seconds of stream time. TYPE: `float`
`end_sec`	End, in seconds of stream time. TYPE: `float`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (sliced) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If the server rejects the transform, e.g. a range outside the dataset.

spike_sort

spike_sort(params: SpikeSorterLaunchParams, *, stall_sec: float = 120.0) -> str

Sort an offline recording and return the id of the fileset it wrote, once readable.

Launches the sort with spike_sorter_launch(), then waits until the sort has finished and its fileset can be read.

There is no overall time limit, since sort duration depends on the recording. The call fails only if the sort stops making progress: neither phase nor frac_complete changes for stall_sec. On failure the sort is turned off before the error is raised.

PARAMETER	DESCRIPTION
`params`	As for `spike_sorter_launch()`. Configure the dataset's DSP and detection thresholds first. TYPE: `SpikeSorterLaunchParams`
`stall_sec`	How long the state may stay put before the sort is declared stuck. TYPE: `float` DEFAULT: `120.0`

RETURNS	DESCRIPTION
`str`	The `spikes_id` to pass to the spike readers.

RAISES	DESCRIPTION
`ValueError`	If `params.dsource_id` is unset.
`ServerCommunicationError`	If the sorter reports an error, or it stopped and no fileset was registered within a short grace period.
`TimeoutError`	If the sort stalled.
`RadiensError`	On communication failure or server error.

spike_sorter_cancel

spike_sorter_cancel(spike_sorter_id: str) -> None

Cancel a running spike sorter.

Equivalent to spike_sorter_command(id, SpikeSorterCommand.OFF). The sorter is removed immediately, so later calls with the same ID raise ServerCommunicationError.

PARAMETER	DESCRIPTION
`spike_sorter_id`	Unique ID of the spike sorter to cancel. TYPE: `str`

spike_sorter_command

spike_sorter_command(
    spike_sorter_id: str,
    cmd: FlexSpikeSorterCommand,
    *,
    sub_cmd: FlexSpikeSorterSubCommand = NULL,
    neighbor_radius_um: float | None = None,
    max_num_site_neighbors: int | None = None,
) -> None

Send a command to a running spike sorter.

PARAMETER	DESCRIPTION
`spike_sorter_id`	Unique ID of the spike sorter to control. TYPE: `str`
`cmd`	The command to execute. Accepts `SpikeSorterCommand` enum or string (e.g. `"off"`, `"rebase"`, `"clear_sort"`). TYPE: `FlexSpikeSorterCommand`
`sub_cmd`	Optional sub-command modifier. Accepts `SpikeSorterSubCommand` enum or string (`"null"`, `"detect_only"`). TYPE: `FlexSpikeSorterSubCommand` DEFAULT: `NULL`
`neighbor_radius_um`	Optional per-site neighbor search radius, in microns. Only applied when `cmd` is `"init"`; ignored otherwise. If unset, the current radius is kept. TYPE: `float \| None` DEFAULT: `None`
`max_num_site_neighbors`	Optional cap on the number of neighbors kept per site (closest first). Only applied when `cmd` is `"init"`; ignored otherwise. If unset, all neighbors within the radius are kept when `neighbor_radius_um` is set; with both unset the current neighborhood is kept. TYPE: `int \| None` DEFAULT: `None`

Warning

"init" clears the sorter's spikes and resets its detection thresholds, windows and shadow to defaults. On an offline sort it ends the sort and discards its output, so pass the neighborhood to spike_sorter_launch instead.

spike_sorter_delete

spike_sorter_delete(spike_sorter_id: str) -> None

Delete a spike sorter and release its resources.

An ID the server does not know is ignored.

PARAMETER	DESCRIPTION
`spike_sorter_id`	Unique ID of the spike sorter to delete. TYPE: `str`

RAISES	DESCRIPTION
`ValueError`	If spike_sorter_id is empty.
`RadiensError`	On communication failure or server error.

spike_sorter_launch

spike_sorter_launch(params: SpikeSorterLaunchParams) -> SpikeSorterLaunchResult

Launch a new spike sorter on a dataset.

Returns as soon as the sort starts; use spike_sort() to wait for the result. The new fileset appears in DatasetMetadata.associated_spikes_ids once the sort completes, and never for a sort that is cancelled or fails.

Warning

Sorting starts during this call, so every setting must be in params. spike_sorter_command(..., "init", ...) is too late: it ends an offline sort and discards its output. On a recording still being written, relaunching replaces the previous sort and its output.

The sort uses the dataset's stage-2 DSP and detection thresholds as they are at launch; the stage-2 chain may be empty. Configure both first (set_dsp_group(stage=FilterStage.STAGE2), update_detect_params() with the dataset ID).

Each launch on an offline recording writes a new fileset alongside earlier ones.

PARAMETER	DESCRIPTION
`params`	Target dataset ID, `sub_cmd` (`"detect_only"` skips clustering), and optional clustering, feature and neighborhood settings. TYPE: `SpikeSorterLaunchParams`

RETURNS	DESCRIPTION
`SpikeSorterLaunchResult`	The unique ID and type of the launched sorter. The sorter is removed shortly after it completes; its ID then names the output fileset.

RAISES	DESCRIPTION
`CapabilityError`	If `params.seed` is set and the connected server cannot reproduce a sort from it.
`RadiensError`	On communication failure or server error.

update_detect_params

update_detect_params(
    spike_sorter_id: str, params: SpikeDetectParams, channels: list[int]
) -> None

Update detection thresholds, shadow, window and spike width on the given channels.

Fields in params that are None will not be modified.

PARAMETER	DESCRIPTION
`spike_sorter_id`	ID of a running spike sorter, or a dataset ID to configure the dataset before launching a sort. On a dataset, KPI is recomputed with the new settings in the background; call `kpi_calculate()` to wait. TYPE: `str`
`params`	The detection parameters to apply. TYPE: `SpikeDetectParams`
`channels`	List of native channel indices to apply the parameters to. TYPE: `list[int]`

RAISES	DESCRIPTION
`CapabilityError`	If `params.spike_width_sec` is set and the connected server predates it.

virtual_ref

virtual_ref(
    dataset: FlexDataset, ref_channel: int, output_path: str | Path
) -> DatasetMetadata

Apply virtual reference re-referencing to a dataset.

References all channels against a single nominated electrode.

PARAMETER	DESCRIPTION
`dataset`	Dataset to re-reference (metadata object, ID string, or file path). TYPE: `FlexDataset`
`ref_channel`	Native channel index of the reference electrode. TYPE: `int`
`output_path`	Output file. Its suffix sets the format (e.g. `.xdat`). TYPE: `str \| Path`

RETURNS	DESCRIPTION
`DatasetMetadata`	Metadata for the new (re-referenced) dataset.

RAISES	DESCRIPTION
`ValueError`	If output_path's suffix names no supported format.
`RadiensError`	If the server rejects the transform.

radiens_core.curate_client

Classes

CurateClient

Attributes

server_version property

Functions

apply_protocol

bandpass

bandstop

bulk_bandpass

bulk_bandstop

bulk_downsample

bulk_highpass

bulk_lowpass

bulk_notch

bulk_slice_time

car

clear_data_sources

close

copy_data_source_file

deselect_channels

downsample

export_data_source

get_all_protocols

get_batch_spectral

get_channel_metadata

get_detect_params

get_dsp_group

get_kpi_bundle_stats

get_kpi_metrics

get_kpi_metrics_series

get_kpi_status

get_neurons

get_protocol

get_provenance

get_signals

get_spectral

get_spectral_info

get_spike_sorter_dashboard

get_spike_sorter_ids

get_spike_sorter_state

get_spikes_by_channel

get_spikes_by_neuron

get_spikes_ids

get_spikes_spec

get_tailing_state

get_units

healthcheck

highpass

kpi_calculate

kpi_clear

link_data_file

list_data_source_ids

list_data_sources

list_directory

lowpass

move_data_source_file

notch

paired_ref

remove_data_source_file

select_channels

set_channel_groups

set_detect_params

set_dsp_group

set_kpi_packet_dur

set_protocol

set_selected_channels

slice_channels

slice_time

spike_sort

spike_sorter_cancel

spike_sorter_command

spike_sorter_delete

spike_sorter_launch

update_detect_params

virtual_ref

server_version `property`