nwb-linkml/nwb_linkml/schema/core.nwb.ecephys.include.yaml

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name: core.nwb.ecephys.include
id: core.nwb.ecephys.include
imports:
- core.nwb.base
- hdmf-common.table
- core.nwb.device
- nwb.language
- core.nwb.ecephys.include
- core.nwb.ecephys
default_prefix: core.nwb.ecephys.include/
classes:
ElectricalSeries__data:
name: ElectricalSeries__data
description: Recorded voltage data.
attributes:
name:
name: name
ifabsent: string(data)
range: string
required: true
equals_string: data
unit:
name: unit
description: Base unit of measurement for working with the data. This value
is fixed to 'volts'. Actual stored values are not necessarily stored in
these units. To access the data in these units, multiply 'data' by 'conversion',
followed by 'channel_conversion' (if present), and then add 'offset'.
range: text
array:
name: array
range: ElectricalSeries__data__Array
ElectricalSeries__data__Array:
name: ElectricalSeries__data__Array
is_a: Arraylike
attributes:
num_times:
name: num_times
range: numeric
required: true
num_channels:
name: num_channels
range: numeric
required: false
num_samples:
name: num_samples
range: numeric
required: false
ElectricalSeries__electrodes:
name: ElectricalSeries__electrodes
description: DynamicTableRegion pointer to the electrodes that this time series
was generated from.
is_a: DynamicTableRegion
attributes:
name:
name: name
ifabsent: string(electrodes)
range: string
required: true
equals_string: electrodes
SpikeEventSeries__data:
name: SpikeEventSeries__data
description: Spike waveforms.
attributes:
name:
name: name
ifabsent: string(data)
range: string
required: true
equals_string: data
unit:
name: unit
description: Unit of measurement for waveforms, which is fixed to 'volts'.
range: text
array:
name: array
range: SpikeEventSeries__data__Array
SpikeEventSeries__data__Array:
name: SpikeEventSeries__data__Array
is_a: Arraylike
attributes:
num_events:
name: num_events
range: numeric
required: true
num_samples:
name: num_samples
range: numeric
required: true
num_channels:
name: num_channels
range: numeric
required: false
FeatureExtraction__features:
name: FeatureExtraction__features
description: Multi-dimensional array of features extracted from each event.
attributes:
name:
name: name
ifabsent: string(features)
range: string
required: true
equals_string: features
array:
name: array
range: FeatureExtraction__features__Array
FeatureExtraction__features__Array:
name: FeatureExtraction__features__Array
is_a: Arraylike
attributes:
num_events:
name: num_events
range: float32
required: true
num_channels:
name: num_channels
range: float32
required: true
num_features:
name: num_features
range: float32
required: true
FeatureExtraction__electrodes:
name: FeatureExtraction__electrodes
description: DynamicTableRegion pointer to the electrodes that this time series
was generated from.
is_a: DynamicTableRegion
attributes:
name:
name: name
ifabsent: string(electrodes)
range: string
required: true
equals_string: electrodes
ClusterWaveforms__waveform_mean:
name: ClusterWaveforms__waveform_mean
description: The mean waveform for each cluster, using the same indices for each
wave as cluster numbers in the associated Clustering module (i.e, cluster 3
is in array slot [3]). Waveforms corresponding to gaps in cluster sequence should
be empty (e.g., zero- filled)
attributes:
name:
name: name
ifabsent: string(waveform_mean)
range: string
required: true
equals_string: waveform_mean
array:
name: array
range: ClusterWaveforms__waveform_mean__Array
ClusterWaveforms__waveform_mean__Array:
name: ClusterWaveforms__waveform_mean__Array
is_a: Arraylike
attributes:
num_clusters:
name: num_clusters
range: float32
required: true
num_samples:
name: num_samples
range: float32
required: true
ClusterWaveforms__waveform_sd:
name: ClusterWaveforms__waveform_sd
description: Stdev of waveforms for each cluster, using the same indices as in
mean
attributes:
name:
name: name
ifabsent: string(waveform_sd)
range: string
required: true
equals_string: waveform_sd
array:
name: array
range: ClusterWaveforms__waveform_sd__Array
ClusterWaveforms__waveform_sd__Array:
name: ClusterWaveforms__waveform_sd__Array
is_a: Arraylike
attributes:
num_clusters:
name: num_clusters
range: float32
required: true
num_samples:
name: num_samples
range: float32
required: true