An awesome list of computational neuroscience and computational cognitive science. I build this list only for my own use. I used to use bookmarks. But it is a bad way to organize things, I can hardly find what I want.
Other useful Computational neuroscience resources.
"DISCLAIMER: The contents of this list reflect my own personal interests and should not be taken as a recommendation or endorsement of any kind. Use of any information or resources provided in this list is at your own risk."
Table of contents generated with markdown-toc
- Computational Neuroscience - Coursera
- Computational Neuroscience: the basics - INCF
- Cajal Course Computational Neuroscience - INCF
- Neuronal Dynamics - EPFL, Wulfram Gerstner
- Introduction to Neural Computation - MIT 9.40, Michale Fee, Spring 2018
- Neuromatch Academy - Computational Neuroscience
- Understanding Vision: theory, models, and data - Li Zhaoping
- Computational Neuroscience - SYDE 552, Terry Stewart, Winter 2021
- Dynamical Systems in Neuroscience - NeuroLogos
- The biophysical basis of neurons and networks - UCSD Physics 178/278, David Kleinfeld
- Neural Computation - UCB VS265, Bruno Olshausen
- Gatsby Unit Course Materials
- Modeling the Mind, UA NSCS 344, Robert Wilson, 2020
- How to build a brain from scratch - UCL, Chris Summerfield
- Beginners guide to doing experimental cognitive science research - Todd Gureckis
- Computational Psychiatry - ETH Zurich, Autumn 2021
- Computational Cognitive Neuroscience - UC Davis, Randall O'Reilly, Spring 2020
- Bayesian Statistics and Hierarchical Bayesian Modeling - Lei Zhang
- Computational cognitive modeling - NYU PSYCH-GA 3405.004 / DS-GA 1016.003, Brenden Lake, Spring 2023
- Advancing AI through cognitive science - NYU PSYCH-GA 3405.001 / DS-GA 3001.014, Brenden Lake, Spring 2019
- The Human Brain - MIT 9.11, Nancy Kanwisher, Spring 2018
- Neuroscience and Neuroimaging - Coursera
- Intro to fMRI class - Rajeev Raizada
- fMRI Bootcamp
- Human Behavioral Biology - Stanford, Robert Sapolsky
- Neural Data Science - Tübingen, Philipp Berens, 2021
- Introduction to Brain and Consciousness
- Grossbergian Neuroscience - NeuroLogos
- Dynamic Data Visualization Workshop - An NIMH-hosted workshop on principles, tools, and approaches to constructing effective dynamic data visualizations
- Introduction to ERPs - Steve Luck
- Analyzing Neural Time Series Data - Mike X Cohen
- NIH fMRI Courses
- Philosophical Psychology - UMN, Paul Meehl, Winter 1989
- Computational Reason - NeuroLogos
- BrainPy - A flexible, efficient, and extensible framework for computational neuroscience and brain-inspired computation based on the JIT compilation.
- Nengo - The Nengo Brain Maker is a Python package for building, testing, and deploying neural networks.
- NeuroGym - NeuroGym is a curated collection of neuroscience tasks with a common interface. The goal is to facilitate training of neural network models on neuroscience tasks.
- HDDM - A python toolbox for hierarchical Bayesian parameter estimation of the Drift Diffusion Model (via PyMC).
- Computational and Behavioral Modeling - CBM provides tools for hierarchical Bayesian inference
- rlssm - A Python package for fitting reinforcement learning models, sequential sampling models, and combinations of the two, using Bayesian parameter estimation.
- RL_DDM - Reinforcement learning + drift-diffusion model repository.
- Bandits - Python library for Multi-Armed Bandits implements the following algorithms: Epsilon-Greedy, UCB1, Softmax, Thompson Sampling
- NivTurk - Niv lab tools for securely serving and storing data from online computational psychiatry experiments.
- Tianshou - A reinforcement learning platform based on pure PyTorch.
- Variational Bayesian Monte Carlo - VBMC is an approximate inference method designed to fit and evaluate computational models with a limited budget of potentially noisy likelihood evaluations.
- BADS - BADS is a fast hybrid Bayesian optimization algorithm designed to solve difficult optimization problems, in particular related to fitting computational models
- MIT CBMM
- Cosyne
- CCN
- CCN 2017
- Harvard Machine Learning Foundations Group
- Theoretical Neuroscience
- CogSci
- Simons Institute
- UCL NeuroAI
- RTG Computational Cognition
- MRC Cognition and Brain Sciences Unit
- Spiking Neural networks as Universal Function Approximators -
- MBL Brains, Minds and Machines
- NeurIPS 2022
- Meaning of Life Symposium
- Dynamic Field Theory
- SFN Annual Meeting
- Marine Biological Laboratory
- Cold Spring Harbor Asia
- Graduate Workshop in Computational Social Science at Santa Fe Institute
- NeuroHackademy
Other tutorials see Online Resources for Systems and Computational Neuroscience
Intro:
- MIT fMRI Bootcamp
- Python Data Science - Jake VanderPlas
- Reproducible Data Analysis in Jupyter - Jake Vanderplas
- DartBrains
- RBootcamp
- Data Science - Trenton McKinney
- Learning Machine - RenChu Wang
- Models of Learning - Hanneke den Ouden
- Bayesian Model - Rasmus Bååth
- PyTorch - Python Deep Learning - deeplizard
- Andy’s Brain Book
- BrainIAK Tutorial
- Python and Matlab programs for fMRI
- RSA Workshop
- Quantitative Neuroscience
- Python for the practicing neuroscientist
- The Multi-Armed Bandit Problem and Its Solutions
- AI Wiki
- Machine Learning Mastery
- Essential Math for Data Science
- What does MEG measure? 😭
- Learn Shell
- Interactive Vim tutorial
- Advanced Cognitive Modeling Notes
Advance:
- Probabilistic Models of Cognition - Noah Goodman & Joshua Tenenbaum
- Recurrent neural networks for cognitive neuroscience - Guangyu Yang
- Artificial neural networks for neuroscientists - Guangyu Yang
- Recurrent Neural Network Tutorial - Kanaka Rajan
- Spiking Neural Networks Tutorial - Dan Goodman
- Modeling reinforcement learning - Maarten Speekenbrink
- Introduction to Neural Network Models of Cognition - Pablo Caceres
- Computational Models of Human Social Behavior and Neuroscience - Shawn A Rhoads
- Spinning Up in Deep RL - OpenAI
- Linear Algebra for Theoretical Neuroscience - Ken Miller
- Modeling in Neuroscience - Gunnar Blohm
- Data Skills for Neuroscientists - SfN
- Statistical tools for high-throughput data analysis
- Computational and Inferential Thinking: The Foundations of Data Science
- Kalman Filter Tutorial
- Bayesian Deep Learning and Probabilistic Model Construction
- Deep Reinforcement Learning with Pytorch
- Basic Examples for Reinforcement Learning
- Statistical models for neural data
- M/EEG analysis with MNE
- Advanced fMRI analyses
- Reaction time distributions: an interactive overview
- Neuroimaging and Data Science
- Meta-Learned Models of Cognition
- The Art and Science of Modeling Human Decision-Making
- NivStan - Recipes for cognitive modeling using Stan
- Pillow Lab Tutorials
- MAPs - Methods And Primers for Computational Psychiatry and Neuroeconomics
- Python脑电数据处理中文手册
- Geometric constraints on human brain function
- Theoretical Neuroscience
- Bayesian models of perception and action
- Theoretical Modeling for cognitive science and psychology
- Algorithms for Decision Making
- Mathematics for Machine Learning
- Causal Inference: What If
- Statistical Mechanics of Neural Networks
- Modeling Neural Circuits Made Simple
- Network Science
- Introduction to Data Science
- An Introduction to Statistical Learning
- Probabilistic Machine Learning
- Patterns, Predictions, and Actions
- Bayesian Data Analysis
- Almost None of the Theory of Stochastic Processes
- Bayesian Data Analysis using Probabilistic Programs
- Introduction to Modern Statistics
- Applied Causal Analysis
- Probabilistic language understanding
- Modeling Agents with Probabilistic Programs
- OpenData - A collection of publicly available behavioral datasets
- THINGS: Behavioral and neuroscience data in object recognition and understanding.
- SenseLab - The SenseLab Project is a long-term effort to build integrated, multidisciplinary models of neurons and neural systems.
- CRCNS - Collaborative Research in Computational Neuroscience: Data sharing
- Natural Scenes Dataset: a large-scale fMRI dataset
- Open dataset of theory of mind reasoning in early to middle childhood
- Moral Machine
- Google Dataset Search
- Human Connectom
- Open Neuro
- Open fMRI
- NCBI
- UK BioBank
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