torch_brain.data#

Core data structures for representing neural and behavioral data.

See The Data Format for further details.

Core Objects#

`ArrayDict`	A dictionary of arrays that share the same first dimension.
`Data`	A flexible container for other data objects such as `ArrayDict`, `RegularTimeSeries`, `IrregularTimeSeries`, and `Interval` objects, as well as nested `Data` objects and regular Python objects like scalars, strings, and numpy arrays.
`Interval`	An interval object is a set of time intervals each defined by a start time and an end time.
`IrregularTimeSeries`	An irregular time series is defined by a set of timestamps and a set of attributes that must share the same first dimension as the timestamps.
`RegularTimeSeries`	A regular time series is the same as an irregular time series, but it has a regular sampling rate.

`LazyArrayDict`	Lazy variant of `ArrayDict`.
`LazyInterval`	Lazy variant of `Interval`.
`LazyIrregularTimeSeries`	Lazy variant of `IrregularTimeSeries`.
`LazyRegularTimeSeries`	Lazy variant of `RegularTimeSeries`.

`BrainsetDescription`	A container for storing brainset metadata.
`DeviceDescription`	A container for storing recording device metadata.
`SessionDescription`	A container to store experimental session related metadata.
`SubjectDescription`	A container for storing subject related metadata.

`concat`	Concatenates multiple time series objects into a single object.
`get_default_serialize_fn_map`	Returns the default serialization map used when saving `Data` to HDF5.