brian-team / brian2tools
Tools to use with Brian 2, in particular for visualization
☆17Updated 6 months ago
Alternatives and similar repositories for brian2tools:
Users that are interested in brian2tools are comparing it to the libraries listed below
- A brian2 extension to simulate spiking neural networks on GPUs☆62Updated 2 months ago
- Brian 2 frontend to the GeNN simulator☆46Updated 6 months ago
- A large-scale spiking model of the vision-related areas of macaque cortex.☆71Updated this week
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆39Updated 3 months ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆39Updated this week
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆44Updated last month
- A library for deep learning with Spiking Neural Networks (SNN).☆28Updated this week
- 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
- ☆12Updated 5 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆48Updated last year
- A SciUnit library for validation testing of spiking neural network models.☆16Updated 7 months ago
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆16Updated 4 years ago
- Training spiking neural networks for sound localization☆66Updated last month
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆24Updated 2 months ago
- A tutorial on neuroinformatics resources for computational modellers☆64Updated 5 years ago
- A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.☆15Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆29Updated 9 months ago
- Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…☆13Updated 6 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Cosyne workshop tutorial 2022☆115Updated 2 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- ☆37Updated 4 years ago
- A NWB-based Dataset and Processing Pipeline of Human Single-Neuron Activity During a Declarative Memory Task☆19Updated last month
- Event-Driven CD in Spiking Neural Networks☆20Updated 9 years ago
- ☆26Updated 9 months ago
- Coding projects by the community for the community☆16Updated last month
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago
- 🦀🦀🦀 Sort spikes from extra-cellular recordings using neural networks. Fully automated.☆19Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆36Updated 9 years ago