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☆143Updated 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☆224Updated 6 years ago
- Resources for Pursuing Machine Learning, Computational Cognitive Science, Computational Neuroscience☆59Updated 3 years ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 7 months ago
- COGS118C [Neural Signal Processing] @ UCSanDiego☆169Updated 5 years ago
- A tutorial on neuroinformatics resources for computational modellers☆67Updated 6 years ago
- Coursera Computational-NeuroScience course of the University of Washington☆89Updated 2 years ago
- ☆117Updated 2 weeks ago
- Problem sets and materials for systems and computational neuroscience course☆16Updated 5 months ago
- Python exercises accompanying the book "Neuronal Dynamics"☆265Updated last year
- Tutorial codes for modeling brains with neural nets☆234Updated 4 years ago
- A python package that includes many methods for decoding neural activity☆454Updated 2 years ago
- Introduction to Mathematics and Python using Neuroscience Examples☆42Updated last year
- An introduction to the practicing neuroscientist to data analysis in Python☆159Updated 2 years ago
- A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks…☆162Updated 3 weeks ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 6 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆89Updated 2 months ago
- Tools for spike data analysis and visualization☆108Updated 2 years ago
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆157Updated last year
- python implementations of Analyzing Neural Time Series Textbook☆184Updated 3 years ago
- Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬☆446Updated 8 months ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- Brain Modeling Toolkit☆297Updated this week
- STATS320: Statistical Methods for Neural Data Analysis☆198Updated 3 months ago
- Code accompanying Steinmetz et al., 2019☆60Updated 4 years ago
- Elephant is the Electrophysiology Analysis Toolkit☆220Updated 5 months ago
- Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities☆42Updated 4 years ago