ContextLab / computational-neuroscience
Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
☆48Updated last year
Alternatives and similar repositories for computational-neuroscience:
Users that are interested in computational-neuroscience are comparing it to the libraries listed below
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆78Updated 7 months ago
- Collection of tutorials about methods of computational neuroscience using Python☆76Updated 8 years ago
- Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techni…☆78Updated 9 years ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated last month
- Problem sets and materials for systems and computational neuroscience course☆15Updated last month
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆86Updated 9 months ago
- A tutorial on neuroinformatics resources for computational modellers☆64Updated 5 years ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- ☆12Updated 4 years ago
- Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities☆41Updated 4 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Introduction to Mathematics and Python using Neuroscience Examples☆38Updated last year
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- An ongoing journal club for the study of big ideas in neuro☆33Updated 2 years ago
- Tutorials that cover topics from basics to advanced fMRI analysis☆49Updated 4 years ago
- Code accompanying Steinmetz et al., 2019☆59Updated 3 years ago
- An open course in neural data science☆52Updated 8 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- Python-based module with spike sorter wrappers and a simple API for running them.☆20Updated 3 years ago
- Toolbox for analyzing behavioral videos and neural activity☆58Updated last year
- YASS: Yet Another Spike Sorter☆66Updated 2 years ago
- IBL core shared libraries☆62Updated this week
- Cycle-by-cycle analysis of neural oscillations.☆83Updated last week
- Tools for spike data analysis and visualization☆104Updated 2 years ago
- Code and data for the book "Case Studies in Neural Data Analysis"☆36Updated 7 years ago
- Coding exercises for Neural Data Science at CSHL in 2019☆28Updated 4 years ago
- Repository for course materials for the Summer Workshop on the Dynamic Brain 2019☆24Updated 5 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆37Updated 5 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆37Updated 3 years ago
- Phase-Amplitude Coupling under Python☆104Updated 7 months ago