heterogeneous-synaptic-dynamics

What problem does it solve?

Heterogeneous synaptic dynamics pose a challenge for accurate brain network simulations. This method provides a systematic framework to model variability across synapses within large-scale networks and complex neural circuits.

Core Features & Use Cases

• Four-dimension modeling: connectivity, transmission, plasticity, and heterogeneity.
• Tsodyks-Markram STP/LTP framework with parameter heterogeneity for realistic synaptic behavior.
• Conductance computation using a double-exponential model and scalable network simulations.
• Applications in computational neuroscience research, brain-network simulations, and learning studies.
• Reusable components for teaching and hardware-inspired neuromorphic research.

Quick Start

Run example_simulation() to initialize and run a small heterogeneous synapse network simulation.