BrainPy documentation

BrainPy is a highly flexible and extensible framework targeting on the high-performance brain modeling. Among its key ingredients, BrainPy supports:

1. JIT compilation for functions and class objects.

2. Numerical solvers for ODEs, SDEs and others.

3. Dynamics simulation tools for various brain objects, like neurons, synapses, networks, soma, dendrites, channels, and even more.

4. Dynamics analysis tools for differential equations, including phase plane analysis, bifurcation analysis, and linearization analysis.

5. Seamless integration with deep learning models, but has the high speed acceleration because of JIT compilation.

6. And more ……

Note

Comprehensive examples of BrainPy please see:

• BrainModels: https://github.com/PKU-NIP-Lab/BrainModels

• BrainPyExamples: https://brainpy-examples.readthedocs.io/

Quickstart

• Installation
• JIT Compilation
• Dynamics Introduction

Math Foundation

• Tensors
• Variables
• Base Class
• Compilation
• Differentiation
• Control Flows
• Optimizers

Dynamics Ecosystem

• Numerical Integrator
  • Numerical Solvers for ODEs
  • Numerical Solvers for SDEs
• Dynamics Simulation
  • Efficient Synaptic Computation
  • Synaptic Connectivity
  • Monitors and Inputs
• Dynamics Training
  • Build Artificial Neural Networks
  • Creat Custom Layers
• Dynamics Analysis
  • Dynamics Analysis (Symbolic)
  • Dynamics Analysis (Numeric)

API Documentation

• brainpy.base module
• brainpy.math module
• brainpy.integrators module
• brainpy.simulation module
• brainpy.analysis module
• brainpy.visualization module
• brainpy.tools module
• brainpy.jaxsetting module
• Release notes

Indices and tables

• Index

• Module Index

• Search Page