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.
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.
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');- Data Handling
- Phase Encoding Analysis
- Population Receptive Field Mapping
- Input Referred Models
- Fast & real-time pRF mapping
This software was developed for Python 3.
pip install cni_tlbx