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☆145Updated 8 years ago
- Collection of tutorials about methods of computational neuroscience using Python☆80Updated 8 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆49Updated last year
- 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
- Python exercises accompanying the book "Neuronal Dynamics"☆265Updated last year
- A tutorial on neuroinformatics resources for computational modellers☆67Updated 6 years ago
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆41Updated 9 months ago
- Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬☆450Updated 8 months ago
- ☆121Updated last month
- A python package that includes many methods for decoding neural activity☆456Updated 2 years ago
- COGS118C [Neural Signal Processing] @ UCSanDiego☆170Updated 5 years ago
- Reference data for the "Simulation Neuroscience:Neurons and Synapses" Massive Online Open Course☆44Updated 3 years ago
- Coursera Computational-NeuroScience course of the University of Washington☆89Updated 2 years ago
- A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks…☆164Updated last week
- Introduction to Mathematics and Python using Neuroscience Examples☆43Updated last year
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 8 months ago
- Tutorial codes for modeling brains with neural nets☆235Updated 4 years ago
- Problem sets and materials for systems and computational neuroscience course☆16Updated 6 months ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 6 years ago
- Brain Modeling Toolkit☆300Updated 3 weeks ago
- Tools for spike data analysis and visualization☆108Updated 2 years ago
- A publicly-editable collection of open computational neuroscience resources☆632Updated last year
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- A curated collection of neuroscience tasks with a common interface.☆297Updated last week
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆158Updated last year
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆90Updated 3 months ago
- 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☆184Updated 3 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆38Updated 9 years ago