ccnmaastricht / cni_toolbox

Computational Neuroimaging Toolbox

The Computational Neuroimaging Toolbox contains tools for estimating input-referred models. Specifically, it includes tools for Fourier analyses of phase-encoded stimuli, population receptive field (pRF) mapping, fast (real-time) pRF mapping and for estimating parameters of generic (user-defined) input-referred models.

This code is hosted at https://github.com/ccnmaastricht/CNI_toolbox The latest version may always be found here.

Matlab implementation

This software was developed with MATLAB R2017a and access to the full suite of MATLAB add-on packages. Some of these packages may be required to run the software.

Installation

Download the toolbox file Computational Neuroimaging Toolbox.mltbx, navigate to the downloaded file within MATLAB and then execute the following command:

matlab.addons.toolbox.installToolbox('computational neuroimaging toolbox.mltbx');

Usage

• Data Handling
• Phase Encoding Analysis
• Population Receptive Field Mapping
• Input Referred Models
• Fast & real-time pRF mapping

Python implementation

This software was developed for Python 3.

Installation

pip install cni_tlbx

Usage

• Data Handling
• Phase Encoding Analysis
• Population Receptive Field Mapping
• Input Referred Models
• Fast & real-time pRF mapping