INM-6 / multi-area-model
A large-scale spiking model of the vision-related areas of macaque cortex.
☆72Updated last month
Alternatives and similar repositories for multi-area-model:
Users that are interested in multi-area-model are comparing it to the libraries listed below
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 3 months ago
- A reservoir computing toolbox for neuroscientists☆96Updated 4 months ago
- Brian 2 frontend to the GeNN simulator☆47Updated 8 months ago
- Tools to use with Brian 2, in particular for visualization☆18Updated 8 months ago
- A SciUnit library for validation testing of spiking neural network models.☆16Updated 9 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
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆40Updated 4 months ago
- ☆13Updated 5 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 6 years ago
- Training spiking neural networks for sound localization☆66Updated 2 weeks ago
- Learning to Learn: Gradient-free Optimization framework☆14Updated last week
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆47Updated last week
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆46Updated 3 months ago
- A Python package for simulator-independent specification of neuronal network models.☆286Updated last month
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆26Updated last month
- repository for grid cell network code☆61Updated 2 years ago
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆17Updated 5 years ago
- ☆77Updated 3 years ago
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆85Updated 11 months ago
- Code associated with the paper "Bicknell B.A. & Häusser M., (2021). A synaptic learning rule for exploiting nonlinear dendritic computati…☆8Updated 3 years ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆39Updated last week
- Integration between TVB and NEST, for multiscale (co)simulations .☆37Updated 3 weeks ago
- A domain specific language for neuron and synapse models in spiking neural network simulation☆58Updated last week
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆36Updated 9 years ago
- NEST GPU☆20Updated 6 months ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆35Updated 2 years ago
- A NWB-based Dataset and Processing Pipeline of Human Single-Neuron Activity During a Declarative Memory Task☆19Updated 3 months ago
- Python tools for participating in Neural Latents Benchmark '21☆61Updated 9 months ago
- A library for deep learning with Spiking Neural Networks (SNN).☆29Updated this week
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆100Updated last month