Alternatives and similar repositories for mind_2019

Users that are interested in mind_2019 are comparing it to the libraries listed below

• kstach01 / CogModelingRNNsTutorial
  ☆51Updated last year
• idamomen / MIND2019_IM_RL_SR
  Tutorials for MIND2019
  ☆15Updated 5 years ago
• BlohmLab / NSCI801-QuantNeuro
  NSCI 801 (Queen's U) Quantitative Neuroscience course materials
  ☆111Updated 5 months ago
• YunzheLiu / TDLM
  methods & simulation code to measure sequential replay
  ☆42Updated 4 years ago
• Summer-MIND / mind_2017
  Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics
  ☆33Updated 5 years ago
• AnneCollins / TenSimpleRulesModeling
  Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.
  ☆97Updated 5 years ago
• AaltoImagingLanguage / conpy
  Python package for power mapping and functional connectivity using DICS
  ☆37Updated 2 months ago
• rsagroup / rsatoolbox
  Python library for Representational Similarity Analysis
  ☆215Updated this week
• payampiray / cbm
  computational and brain/behavior modeling
  ☆32Updated 4 years ago
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆83Updated last week
• ericabusch / hybrid_hyperalignment_neuroimage
  ☆16Updated 2 years ago
• gallantlab / tikreg
  Tikhonov regression in python
  ☆32Updated last year
• rdgao / COGS118C
  COGS118C [Neural Signal Processing] @ UCSanDiego
  ☆168Updated 5 years ago
• mvdoc / budapest-fmri-data
  Quality assurance analyses of fMRI data collected while participants watched The Grand Budapest Hotel by Wes Anderson.
  ☆29Updated 4 years ago
• Summer-MIND / mind_2018
  ☆39Updated 6 years ago
• mwshinn / PyDDM
  A drift-diffusion modeling (DDM) framework for Python
  ☆98Updated 2 weeks ago
• rsagroup / rsatoolbox_matlab
  A Matlab toolbox for representational similarity analysis
  ☆43Updated 4 years ago
• learn-neuroimaging / hitchhackers_guide_brain
  A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG
  ☆123Updated 4 years ago
• sjgershm / RL_DDM
  Reinforcement learning + drift-diffusion modeling
  ☆37Updated 8 years ago
• gallantlab / himalaya
  Multiple-target linear models - CPU/GPU
  ☆94Updated 5 months ago
• marcelomattar / PrioritizedReplay
  Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…
  ☆30Updated 7 years ago
• cosanlab / nltools
  Python toolbox for analyzing imaging data
  ☆126Updated 2 weeks ago
• neuro-data-science / neuro_data_science
  An open course in neural data science
  ☆55Updated 8 years ago
• Remi-Gau / advanced_fMRI_course
  List of ressources and practicals used for the fMRI data analysis course of UoB (UK) (2014-2017)
  ☆46Updated 2 years ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 years ago
• ljchang / dartbrains
  This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught…
  ☆113Updated last year
• murraylab / PsychRNN
  ☆139Updated last year
• snastase / isc-tutorial
  Intersubject correlation tutorial
  ☆38Updated 5 years ago
• neurohackademy / nh2020-curriculum
  Materials for NH2020
  ☆94Updated 3 years ago
• macshine / state_space
  ☆20Updated 4 years ago