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
- 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 2 months ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆79Updated 8 months 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
- Problem sets and materials for systems and computational neuroscience course☆16Updated 3 weeks 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
- Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities☆42Updated 4 years ago
- YASS: Yet Another Spike Sorter☆66Updated 2 years ago
- An ongoing journal club for the study of big ideas in neuro☆33Updated 2 years ago
- Code accompanying Steinmetz et al., 2019☆59Updated 3 years ago
- Cycle-by-cycle analysis of neural oscillations.☆86Updated last month
- 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
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- Introduction to Mathematics and Python using Neuroscience Examples☆39Updated last year
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆44Updated last year
- An awesome list of computational neuroscience and computational cognitive science.☆40Updated 9 months ago
- Electrophys Feature Extraction Library☆71Updated last month
- A NWB-based Dataset and Processing Pipeline of Human Single-Neuron Activity During a Declarative Memory Task☆19Updated 2 months ago
- Coding exercises for Neural Data Science at CSHL in 2019☆28Updated 4 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
- State-space Oscillator Modeling And Time-series Analysis (SOMATA) is a Python library for state-space neural signal processing algorithms…☆29Updated 8 months ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆38Updated 3 years ago
- ☆12Updated 4 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington☆136Updated 7 years ago
- COGS118C [Neural Signal Processing] @ UCSanDiego☆165Updated 5 years ago
- A tutorial on neuroinformatics resources for computational modellers☆65Updated 5 years ago
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2019 Summer School on Cognitive Maps☆51Updated 5 years ago
- ☆48Updated last year