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.
☆82Updated 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☆147Updated 8 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆50Updated 2 years ago
- Collection of tutorials about methods of computational neuroscience using Python☆81Updated 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 4 years ago
- COGS118C [Neural Signal Processing] @ UCSanDiego☆173Updated 5 years ago
- Coursera Computational-NeuroScience course of the University of Washington☆91Updated 2 years ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 10 months ago
- Problem sets and materials for systems and computational neuroscience course☆16Updated 8 months ago
- Python exercises accompanying the book "Neuronal Dynamics"☆269Updated last year
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆161Updated last year
- A python package that includes many methods for decoding neural activity☆464Updated 2 years ago
- ☆126Updated 3 months ago
- A tutorial on neuroinformatics resources for computational modellers☆67Updated 6 years ago
- Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬☆459Updated 3 weeks ago
- A curated collection of neuroscience tasks with a common interface.☆303Updated 2 weeks ago
- Introduction to Mathematics and Python using Neuroscience Examples☆45Updated last year
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆41Updated 11 months ago
- STATS320: Statistical Methods for Neural Data Analysis☆198Updated 6 months ago
- imaging, spike trains, information theory, neural circuitry, synaptic, channel properties☆12Updated 2 years ago
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆93Updated last month
- A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks…☆164Updated last week
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- ☆141Updated 2 years ago
- Tutorial codes for modeling brains with neural nets☆236Updated 4 years ago
- An introduction to the practicing neuroscientist to data analysis in Python☆162Updated 2 years ago
- Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities☆42Updated 5 years ago
- Code accompanying Steinmetz et al., 2019☆60Updated 4 years ago
- Code and data for the book "Case Studies in Neural Data Analysis"☆36Updated 8 years ago
- python implementations of Analyzing Neural Time Series Textbook☆185Updated 4 years ago