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Quickstart

Installation
Simulating a Spiking Neural Network
Simulating a Firing Rate Network Model
Training a Recurrent Neural Network
Analyzing a Dynamical Model

BDP Tutorials

Math Basics
Dynamics Simulation
Dynamics Training
Dynamics Analysis

Toolboxes

Numerical Solvers for Ordinary Differential Equations
Numerical Solvers for Stochastic Differential Equations
Numerical Solvers for Fractional Differential Equations
Numerical Solvers for Delay Differential Equations
Joint Differential Equations
Synaptic Connections
Synaptic Weights
Gradient Descent Optimizers
Runners
Inputs
Monitors
Saving and Loading

Advanced Tutorials

Variables
Base Class
Compilation
Differentiation
Control Flows
Low-level Operator Customization
Interoperation with other JAX frameworks

API Documentation

brainpy.base module
brainpy.math module
brainpy.dyn module
brainpy.nn module
brainpy.analysis module
brainpy.integrators module
brainpy.datasets module
- Chaotic Systems
brainpy.inputs module
brainpy.connect module
brainpy.initialize module
brainpy.losses module
brainpy.optimizers module
brainpy.measure module
brainpy.running module
brainpy.tools module
brainpy.compat module
Release notes (brainpy)
Release notes (brainpylib)

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.rst

Base Integrator

Base Integrator#

ODEIntegrator(f[, var_type, dt, name, ...])

Numerical Integrator for Ordinary Differential Equations (ODEs).

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Numerical Methods for ODEs

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brainpy.integrators.ode.base.ODEIntegrator

By BrainPy Team
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Last updated on Aug 10, 2022.