tfrStats.mvtfr_SLURM module

tfrStats.mvtfr_SLURM.mvtfr_SLURM(jobs, cond, fband, split)[source]

Running the mvtfr_classifier module in SLURM

Function to run ACME, an efficient SLURM manager for Python. Given the inputs, selects the data: conditions x repetitions x channels x frequency x time points and computes, for each frequency and channel, the classification accuracy matrix: conditions x conditions x time points. Because SLURM and ACME only accepts integers as inputs, the data selection occurs inside the function. Paths, conditions and frequency bands.

Todo

  • Add the ACME free version (using batch SLURM job arrays)

Parameters:

  • jobs (int) – a 1d numpy array specifying the number of jobs

  • cond (int) – condition index(gratings, natural images)

  • fband (int) – frequency band index (low, high and higher frequencies)

:param int split : index to split (even, odd or whole)

Returns:

classification accuracy.

Return type:

numpy array

@author: Nicolas Gravel, 19.09.2023