243 Open source projects that are alternatives of or similar to BrainPy

A brian2 extension to simulate spiking neural networks on GPUs

Brain models implementation with BrainPy

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

认知计算神经联盟 讨论会

Python library for easy creation and running of spiking neural networks in tensorflow.

library of numerical methods using Armadillo

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

Fortran Library for numerical INTegration of differential equations

Spiking neural network system

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

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

Latent Differential Equations models in Julia.

A virtual optogenetics laboratory

Computational Neuroscience Crash Course (CNCC 2019)

One-Shot Object Appearance Learning using Spiking Neural Networks

Deep learning integration for Nengo

R package for statistical inference using partially observed Markov processes

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

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

The Arbor multi-compartment neural network simulation library.

An Awesome List of Cognitive Science Resources

A Python-based module for creating flexible and robust spike sorting pipelines.

code for storing neurodata images and image annotations

Artifitial Neural Networks for Solving Ordinary and Partial Differential Equations, in this case, Schrodinger's Equation for One Particle in a 1-Dimentional Box

TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.

C++ library for simulation of multiscale neural field dynamics

Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

A Parametric Framework to Generate Visual Illusions using Python

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

Neuroscience information exchange format

CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.

Python library for ODE integration via Taylor's method and LLVM

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Automated 3D brain registration with support for multiple species and atlases.

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

Elephant is the Electrophysiology Analysis Toolkit

Nonlinear Dynamics: A concise introduction interlaced with code

Database for experimental neuroscience laboratories

Recordings of 10k neurons during spontaneous behaviors

spiking-neural-networks

Numerical methods implementation in Python.

Graph theory analysis of brain MRI data

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

An epithelium simulation library

Precision current source, with optional optical feedback, for driving LEDs and laser diodes

A simple but powerful C++ DAE (Differential Algebraic Equation) solver

Neural Simulator for AGI research and development

The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Model reduction for linear and nonlinear dynamical systems: core C++ library

🕝 Time-warped principal components analysis (twPCA)

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

Backend for DiffEqOnline, a webapp for scientific machine learning (SciML)

Piecewise Deterministic Markov Processes in Julia

Deep learning for spiking neural networks

Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.