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 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
Sorting:
- Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington☆140Updated 8 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆48Updated last year
- Collection of tutorials about methods of computational neuroscience using Python☆78Updated 8 years ago
- Resources for Pursuing Machine Learning, Computational Cognitive Science, Computational Neuroscience☆58Updated 3 years ago
- Problem sets and materials for systems and computational neuroscience course☆16Updated 2 months ago
- Introduction to Mathematics and Python using Neuroscience Examples☆42Updated last year
- ☆97Updated 3 weeks ago
- List of summer schools in neuroscience and related fields☆221Updated 6 years ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 4 months ago
- Code accompanying Steinmetz et al., 2019☆60Updated 3 years ago
- COGS118C [Neural Signal Processing] @ UCSanDiego☆167Updated 5 years ago
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆150Updated last year
- An open course in neural data science☆54Updated 8 years ago
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆86Updated last year
- A tutorial on neuroinformatics resources for computational modellers☆66Updated 5 years ago
- A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG☆122Updated 4 years ago
- methods & simulation code to measure sequential replay☆42Updated 3 years ago
- Coursera Computational-NeuroScience course of the University of Washington☆85Updated 2 years ago
- This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught…☆112Updated last year
- Public tutorials around electrophysiological simulations☆26Updated 2 years ago
- An introduction to the practicing neuroscientist to data analysis in Python☆160Updated 2 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks…☆158Updated this week
- Reference data for the "Simulation Neuroscience:Neurons and Synapses" Massive Online Open Course☆43Updated 3 years ago
- ☆17Updated 6 years ago
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago
- python implementations of Analyzing Neural Time Series Textbook☆182Updated 3 years ago
- Repository for course materials for the Summer Workshop on the Dynamic Brain 2019☆23Updated 5 years ago
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆41Updated 6 months ago
- A MATLAB toolbox for performing information theory analyses of neuroscience data☆74Updated 7 years ago