Core Functionality

OpenRetina connects retinal datasets, model architectures, training workflows, evaluation tools, and in-silico analyses through shared interfaces.

• Data I/O describes stimulus and response containers, dataset loaders, and the HDF5 interchange format.
• Training covers model construction, configuration-driven training, and evaluation.
• In-silico experiments covers stimulus optimisation, response tuning, weight visualisation, and local spike-triggered averages.
• API reference documents the public Python interfaces.