ashumeow / Computational-NeuroScience
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 9 years ago
Alternatives and similar repositories for Computational-NeuroScience:
Users that are interested in Computational-NeuroScience are comparing it to the libraries listed below
- Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington☆136Updated 7 years ago
- Collection of tutorials about methods of computational neuroscience using Python☆76Updated 8 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆48Updated last year
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 2 months ago
- List of summer schools in neuroscience and related fields☆220Updated 5 years ago
- COGS118C [Neural Signal Processing] @ UCSanDiego☆165Updated 5 years ago
- Problem sets and materials for systems and computational neuroscience course☆16Updated 3 weeks ago
- Coursera Computational-NeuroScience course of the University of Washington☆84Updated 2 years ago
- Introduction to Mathematics and Python using Neuroscience Examples☆39Updated last year
- ☆91Updated this week
- A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks…☆156Updated last week
- A tutorial on neuroinformatics resources for computational modellers☆65Updated 5 years ago
- Code accompanying Steinmetz et al., 2019☆59Updated 3 years ago
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆85Updated 10 months ago
- Resources for Pursuing Machine Learning, Computational Cognitive Science, Computational Neuroscience☆56Updated 3 years ago
- Python exercises accompanying the book "Neuronal Dynamics"☆258Updated 9 months ago
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆146Updated 10 months ago
- Code and data for the book "Case Studies in Neural Data Analysis"☆36Updated 7 years ago
- A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG☆120Updated 4 years ago
- An introduction to the practicing neuroscientist to data analysis in Python☆158Updated 2 years ago
- Elephant is the Electrophysiology Analysis Toolkit☆208Updated 3 weeks ago
- Tutorial for understanding how to use NEURON simulation environment☆32Updated 4 years ago
- python implementations of Analyzing Neural Time Series Textbook☆182Updated 3 years ago
- Tutorial codes for modeling brains with neural nets☆225Updated 3 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆36Updated 9 years ago
- An open course in neural data science☆52Updated 8 years ago
- "Approaches to Study Neural Circuits" course☆65Updated 4 months ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data