BDP Tutorials

This section contains tutorials on how to use BrainPy to accomplish model building, simulation, training, and analysis.

Math Foundation

• Variable and BrainPyObject
• Control Flows for JIT compilation
• NumPy-like Operations
• Dedicated Operators
• Array operations with ein_rearrange, ein_reduce, and ein_repeat

Model Building with Existing Modules

• Using Built-in Models
• Building Conductance-based Neuron Models
• Phenomenological Synaptic Models
• Kinetic Synaptic Models
• Building Network Models

Model Building by Customizing New Modules

• Customizing Your Neuron Models
• Customizing Your Synapse Models
• How to customize a synapse

Model Simulation

• Simulation with DSRunner
• Parallel Simulation for Parameter Exploration
• Monitor Every Multiple Steps

Model Training

This tutorial shows how to train a dynamical system from data or task.

• Building Training Models
• Training with Offline Algorithms
• Training with Online Algorithms
• Training with Back-propagation Algorithms
• Introduction to Echo State Network

Model Analysis

• Low-dimensional Analyzers
• High-dimensional Analyzers
• Analysis of a Decision-making Model