38 Open source projects that are alternatives of or similar to spikeflow

Brain models implementation with BrainPy

Auryn: A fast simulator for spiking neural networks with synaptic plasticity

Brain Dynamics Programming in Python

A brian2 extension to simulate spiking neural networks on GPUs

Diverse, Noisy and Parallel: a New Spiking Neural Network Approach for Humanoid Robot Control

Spiking neural network system

Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.

Implementation of a Spiking Neural Network in Tensorflow.

spiking-neural-networks

Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation

Deep learning integration for Nengo

Computational Neuroscience Crash Course (CNCC 2019)

Neural Simulator for AGI research and development

Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)

Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

Computational Neuroscience Crash Course (University of Bordeaux, 2020)

YASS: Yet Another Spike Sorter

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.

A package for data-driven validation of neuron and ion channel models using SciUnit

A virtual optogenetics laboratory

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

A large-scale spiking model of the vision-related areas of macaque cortex.

认知计算神经联盟 讨论会

No description or website provided.

Liquid State Machines in Python and NEST

One-Shot Object Appearance Learning using Spiking Neural Networks

This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

Event-Based Angular Velocity Regression with Spiking Networks

Simulation of spiking neural networks (SNNs) using PyTorch.

OpenN@S: Open-source software to NAS automatic VHDL code generation

Synaptic Plasticity with Online Reinforcement learning

JAX-based Spiking Neural Network framework

Deep learning for spiking neural networks

RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

Data encoders

Nuerapse simulations for SNNs

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.