awesome-computational-neuroscience

An awesome list of computational neuroscience and computational cognitive science.

GitHub Stars

159

Curated Resources

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Advancing AI through cognitive scienceComputational Cognitive Science
NYU PSYCH-GA 3405.001 / DS-GA 3001.014, Brenden Lake, Spring 2019
Analyzing Neural Time Series DataNeuroscience
Mike X Cohen
Bayesian Statistics and Hierarchical Bayesian ModelingComputational Cognitive Science
Lei Zhang
Beginners guide to doing experimental cognitive science researchComputational Cognitive Science
Todd Gureckis
Cajal Course Computational NeuroscienceComputational Neuroscience
INCF
Computational Cognitive NeuroscienceComputational Cognitive Science
UC Davis, Randall O'Reilly, Spring 2020

BADSMachine Learning
BADS is a fast hybrid Bayesian optimization algorithm designed to solve difficult optimization problems, in particular related to fitting computational models
BanditsComputational Cognitive Science
Python library for Multi-Armed Bandits implements the following algorithms: Epsilon-Greedy, UCB1, Softmax, Thompson Sampling
BrainPyComputational Neuroscience
A flexible, efficient, and extensible framework for computational neuroscience and brain-inspired computation based on the JIT compilation.
Computational and Behavioral ModelingComputational Cognitive Science
CBM provides tools for hierarchical Bayesian inference
HDDMComputational Cognitive Science
A python toolbox for hierarchical Bayesian parameter estimation of the Drift Diffusion Model (via PyMC).
NengoComputational Neuroscience
The Nengo Brain Maker is a Python package for building, testing, and deploying neural networks.

Showing a sample of 159 resources. View the full list on GitHub →