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computational neuroimaging toolbox

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This repository contains four files.

  1. PEA.py - class implementation of Fourier analysis of phase-encoded stimuli.
  2. HGR.py - class implementation of linear RF model based on hashed Gaussians.
  3. pRF.py - class implementation of population receptive field mapping.
  4. IRM.py - class implementation of input-referred model estimation.
  5. gadgets.py - collection of auxiliary tools (used by main tools).

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cni-tlbx-1.1.1.tar.gz (13.4 kB view hashes)

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