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 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, linearization analysis, and fixed/slow point finding.

5. Seamless integration with deep learning models.

6. And more ……

Note

Comprehensive examples of BrainPy please see:

• BrainModels: https://brainmodels.readthedocs.io/

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

Quickstart

• Installation
• Just-In-Time Compilation
• Dynamics Programming Introduction

Math Foundation

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

Dynamics Ecosystem

• Numerical Integrator
  • Numerical Solvers for ODEs
  • Numerical Solvers for SDEs
• Dynamics Building
  • Building Neuron Models
  • Creating Synaptic Connections
  • Creating Synaptic Weights
  • Building Synapse Models
  • Building Network Models
  • Building General Dynamical Systems
• Dynamics Simulation
  • Running a Simulation
  • Monitors and Inputs
  • Saving and Loading
  • Simulation with Pure NumPy
• Dynamics Training
  • Building Artificial Neural Networks
  • Creating Custom Layers
  • Initializing Connection Weights
• Dynamics Analysis
  • Low-dimensional Analyzers
  • High-dimensional Analyzers
  • Anlysis of A Decision Making Model

API Documentation

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

Indices and tables

• Index

• Module Index

• Search Page