neuralib.spikes.oasis.oasis_dcnv

neuralib.spikes.oasis.oasis_dcnv(dff, tau, fs, batch_size=300)[source]

Computes non-negative deconvolution (no sparsity constraints)

Parameters:

  • dff (ndarray) – The observed calcium fluorescence trace in 2D numpy array(multiple neurons) or 1D numpy array(single cell). Array[float, [N, F]|F]

  • tau (float) – The time constant of the calcium indicator in ms

  • fs (float) – The sampling frequency of the calcium imaging data in hz

  • batch_size (int) – number of frames processed per batch

Returns:

Deconvolved fluorescence. Array[float, [N,F]|F]

Return type:

ndarray