NWB:N File Format¶
The NWB Format is built around two concepts: TimeSeries and ProcessingModules.
NWB files are represented in PyNWB with NWBFile objects.
objects provide functionality for creating TimeSeries datasets
and Processing Modules, as well as functionality for storing
experimental metadata and other metadata related to data provenance.
TimeSeries objects store time series data. These Python objects correspond to TimeSeries specifications
provided by the NWB format specification. Like the NWB specification, TimeSeries Python objects
follow an object-oriented inheritance pattern. For example, the class
serves as the base class for all other TimeSeries types.
The following TimeSeries objects are provided by the API and NWB specification:
Processing modules are objects that group together common analyses done during processing of data.
Processing module objects are unique collections of analysis results. To standardize the storage of
common analyses, NWB provides the concept of an NWBDataInterface, where the output of
common analyses are represented as objects that extend the
In most cases, you will not need to interact with the
NWBDataInterface class directly.
More commonly, you will be creating instances of classes that extend this class. For example, a common
analysis step for spike data (represented in NWB as a
is spike clustering. In NWB, the result of this kind of analysis will be represented with a
The following analysis
NWBDataInterface objects are provided by the API and NWB specification:
In addition to
NWBContainer which functions as a common base type for Group objects
NWBData provides a common base for the specification of datasets in the NWB:N format.