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afniglmprep

afniGLMprep is python code which prepares and runs GLMs on neuroimaging data stored in the BIDS format (http://bids.neuroimaging.io/). This is done via AFNI's 3dDeconvolve function.

brainiak

Brain Imaging Analysis Kit

cbig

connectivity-srm

Connectivity-based shared response model

gradient_analysis

hierarchical-rnn

Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704

intersubj_rsa

An exploration of how to use inter-subject representational similarity analysis (is-RSA) to study individual differences in brain activity during naturalistic neuroimaging.

isc-tutorial

Intersubject correlation tutorial

neural_encoding_demo

demo code for neural encoding analysis of speech perception using ECoG recordings

neuroquery

Implementation of the neuroquery encoding model that powers neuroquery.org

neuroquery_image_search

Mapping brain images to related publications and terms.

neurora

A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)

neurosynth

Neurosynth core tools

proj-shared-understanding

Code for running fMRI analyses described in "Shared understanding is correlated with shared neural responses." Link: https://www.ncbi.nlm.nih.gov/pubmed/30217543

proj-shared-understanding-srm

Code for exploring SRM for the ShapesMovie project

pyrsa

Python library for Representational Similarity Analysis

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

rsa-dnns-fmri

For the RSA analysis between deepnets and fMRI data from the Sherlock dataset.

rsatoolbox

Python library for Representational Similarity Analysis

schema-perception

Code to reproduce analyses in "Representation of real-world event schemas during narrative perception"

srm

Shared Response Model (SRM) of NIPS 2015