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2019-cs109b

arctic-capgen-vid

automatic video description generation with GPU training

brainspace

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

cerebellum_grad_dev

cerebellum_gradients

Github repository for cerebellum gradients project

coding_sparseness

congrads

Congrads is a data-driven method for mapping the spatial organisation of connectivity within a pre-defined region-of-interest (i.e. connectopic mapping) and fitting the results with a spatial statisical model that summarises the map in terms of a limited number of trend surface model coefficients.

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

dcbc

dnnbrain

Use DNN to study the brain and use brain measurement to evaluate DNN

event_cognition

face_morpher

:angel: Morph faces with Python, Numpy, Scipy

fmri_text_maps_ni

Code for the paper ``Mapping Between fMRI Responses to Movies and their Natural Language Annotations'', submitted to NeuroImage.

hcppipelines

Processing pipelines for the HCP

jointembedding

jspsych_builder_demo

littlebrain

livianet_pytorch

This repository contains the pytorch implementation of our LiviaNET architecture

mapalign

Diffusion map based embedding and alignment

mytool

helpful function patches

populations_paper_code

prednet_pytorch

A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.

psych252slides

Slides

sp-gan

studyforrest_denoise

Scripts here are related to fMRI dataset 'studyforrest_movie_denoised'(https://openneuro.org/datasets/ds001769).

subcortex

surfplot

A package for publication-ready brain surface figures