spike-timing-neuronal-assemblies

What problem does it solve?

STDP-driven neuronal assembly formation and maintenance during spontaneous dynamics helps researchers understand how timing-based plasticity shapes networks and encoding.

Core Features & Use Cases

• STDP-driven assembly formation: simulate how timing-based plasticity creates shared stimulus preferences within neural clusters.
• Spontaneous reinforcement analysis: observe how ongoing activity maintains and strengthens learned connections.
• Neurocoding exploration: analyze how noise correlations influence encoding across assemblies.
• Use Case: A computational neuroscience researcher runs an end-to-end pipeline to train networks on stimulus sets and evaluate the evolution of within- vs between-assembly weights.

Quick Start

Run the neuronal assembly example to train assemblies for 20 epochs with 100 neurons and 5 assemblies.