ashumeow / Computational-NeuroScienceLinks
Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techniques for analyzing, modelling and understanding the behaviour of cells and circuits in the brain.
☆78Updated 10 years ago
Alternatives and similar repositories for Computational-NeuroScience
Users that are interested in Computational-NeuroScience are comparing it to the libraries listed below
Sorting:
- Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington☆142Updated 8 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆49Updated last year
- Collection of tutorials about methods of computational neuroscience using Python☆79Updated 8 years ago
- List of summer schools in neuroscience and related fields☆223Updated 6 years ago
- Resources for Pursuing Machine Learning, Computational Cognitive Science, Computational Neuroscience☆59Updated 3 years ago
- COGS118C [Neural Signal Processing] @ UCSanDiego☆169Updated 5 years ago
- Python exercises accompanying the book "Neuronal Dynamics"☆265Updated last year
- ☆114Updated 2 months ago
- Coursera Computational-NeuroScience course of the University of Washington☆87Updated 2 years ago
- A tutorial on neuroinformatics resources for computational modellers☆67Updated 5 years ago
- A python package that includes many methods for decoding neural activity☆454Updated 2 years ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 6 months ago
- Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬☆443Updated 7 months ago
- Introduction to Mathematics and Python using Neuroscience Examples☆42Updated last year
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆89Updated last month
- Brain Modeling Toolkit☆295Updated last month
- An introduction to the practicing neuroscientist to data analysis in Python☆159Updated 2 years ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 5 years ago
- Problem sets and materials for systems and computational neuroscience course☆16Updated 4 months ago
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆156Updated last year
- A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks…☆160Updated this week
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- python implementations of Analyzing Neural Time Series Textbook☆183Updated 3 years ago
- A curated collection of neuroscience tasks with a common interface.☆295Updated this week
- A publicly-editable collection of open computational neuroscience resources☆627Updated last year
- Tutorial codes for modeling brains with neural nets☆233Updated 4 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- imaging, spike trains, information theory, neural circuitry, synaptic, channel properties☆12Updated 2 years ago
- Public tutorials around electrophysiological simulations☆26Updated 2 years ago
- CS198-96: Intro to Neurotechnology @ UC Berkeley☆365Updated 3 years ago