btorch

Patterns for building SNNs with btorch. Use when working with spiking neurons, synaptic dynamics, time-stepped simulations, or implementing custom stateful modules.

Dataclass-first configuration using OmegaConf. Use when defining config defaults in Python dataclasses, loading CLI overrides, parameter sweeps, case/preset selection, or option forwarding between launcher and worker processes.