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Files

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).

Release files for cni-tlbx 2.2.5

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Source distribution for cni-tlbx 2.2.5
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Release files / cni-tlbx-2.2.5.tar.gz

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