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Covariance toolbox for matlab, including riemannian geometry

ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.

Simulation and analysis code for Lindsay and Miller 2018

Python package to conduct feature-reweighted representational similarity analysis.

RSA on neural networks: image classification task

A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Representational Similarity Analysis (RSA), & Inter-Subject Corr…

Biologically-realistic recurrent convolutional neural networks

SPM tools to get the best of mass univariate analyses

Parameterizing neural power spectra into periodic & aperiodic components.

A collection of semi-useful Matlab scripts for processing fMRI data using SPM12

Usage of Multi-task deep learning network for semantic segmentation in medical images

VGGFace implementation with Keras Framework

Implementation of divisive normalization in TensorFlow

Deep learning software to decode EEG, ECG or MEG signals

Pytorch implementation of PatternNet.

NMA Computational Neuroscience course

Parameters for the neural network used in Kell, Yamins, Shook, Norman-Haignere, and McDermott. "A task-optimized neural network replicates human auditory behavior, predicts brain responses, and rev…

Tools to Design or Visualize Architecture of Neural Network

Neural network visualization toolkit for keras