Utilities
- process_nwb.utils.chang_sds(cfs)[source]
Compute variable bandwidths for a set of center frequencies used by the Chang lab.
- Parameters
cfs (ndarray) – Center frequencies.
Q (float) – Q value for the wavelet. Default = 8.
- process_nwb.utils.const_Q_sds(cfs, Q=8)[source]
Compute constant Q bandwidths for a set of center frequencies.
- Parameters
cfs (ndarray) – Center frequencies.
Q (float) – Q value for the wavelet. Default = 8.
- process_nwb.utils.dtype(X, precision)[source]
Return the type to cast to depending on precision and whether X is complex.
- Parameters
X (ndarray) – Input data.
precision (str) – Either single for float32/complex64 or double for float/complex.
- process_nwb.utils.generate_nwbfile(nchannels=4)[source]
Generate an NWBFile object that an ElectricalSeries can be added to.
- Returns
nwbfile (NWBFile) – NWBFile object
Device (Device) – Device for the ElectricalSeries
electrode_group (ElectrodeGroup) – ElectrodeGroup for the ElectricalSeries
electrodes (Electrodes) – Electrodes for the ElectricalSeries
- process_nwb.utils.generate_synthetic_data(duration, nchannels, rate, high_gamma=True, linenoise=True, seed=0)[source]
Generate synthetic data by smoothing white noise with a boxcar for testing or tutorials. Optional high gamma and 60 Hz linenoise can be added.
- Parameters
duration (float) – Data duration in seconds.
nchannels (int) – Number of channels
rate (float) – Sampling rate in Hz
high_gamma (bool) – If True, include extra modulating power in the high gamma range.
linenoise (bool) – If True, include 60 Hz linenoise.
- Returns
neural_data – Synthetic neural data
- Return type
ndarray (time, channels)