EPFL-LCN / neuronaldynamics-exercisesLinks
Python exercises accompanying the book "Neuronal Dynamics"
☆264Updated last year
Alternatives and similar repositories for neuronaldynamics-exercises
Users that are interested in neuronaldynamics-exercises are comparing it to the libraries listed below
Sorting:
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 6 years ago
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆41Updated 7 months ago
- Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington☆142Updated 8 years ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆102Updated 4 months ago
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆154Updated last year
- Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techni…☆78Updated 10 years ago
- A Python package for simulator-independent specification of neuronal network models.☆293Updated last week
- Collection of tutorials about methods of computational neuroscience using Python☆79Updated 8 years ago
- ☆38Updated 4 years ago
- A python package that includes many methods for decoding neural activity☆451Updated 2 years ago
- A curated collection of neuroscience tasks with a common interface.☆292Updated last week
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 5 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆64Updated 6 months ago
- repository for grid cell network code☆63Updated 2 years ago
- Cosyne workshop tutorial 2022☆119Updated 2 years ago
- Brian 2 frontend to the GeNN simulator☆47Updated 11 months ago
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆46Updated 6 months ago
- A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks…☆159Updated 2 weeks ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆100Updated last year
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆83Updated last week
- Tools to use with Brian 2, in particular for visualization☆18Updated 11 months ago
- Training spiking neural networks for sound localization☆66Updated last month
- Code for Task representations in neural networks trained to perform many cognitive tasks☆167Updated 6 years ago
- Tutorial codes for modeling brains with neural nets☆231Updated 3 years ago
- Brain Modeling Toolkit☆293Updated 3 weeks ago
- Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬☆440Updated 6 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 8 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆49Updated last year
- Tutorial for surrogate gradient learning in spiking neural networks☆325Updated last year