Package documentation

OpenRetina is an open-source neural network toolkit for modeling retinal responses to visual stimuli. This section provides detailed documentation for all the components of the OpenRetina package.

Getting Started

• Installation - Install OpenRetina with pip or from source
• Quick Start - Load and run pre-trained models in minutes
• Architecture Overview - Learn about the package structure

Core Functionality

• Models - Pre-trained and customizable retina models
• Data I/O - Loading and processing datasets
• In-silico Experiments - Analyze models with virtual experiments

Tutorials

• Loading Pre-trained Models - Use existing models
• Training Custom Models - Train on your own data
• Stimulus Optimization - Generate optimal stimuli

Reference

• API Reference - Complete API documentation
• Model Zoo - Available pre-trained models
• Dataset Reference - Supported datasets

Contributing

• Contributing Guide - How to contribute to OpenRetina
• Development Setup - Set up your development environment
• Code Style - Coding conventions for contributors