The following explanation has been generated automatically by AI and may contain errors.

Biological Basis of the Model

The provided code outlines a computational model designed to simulate certain characteristics of inhibitory synapses in the context of neural circuits. It extends the classical biphasic exponential synapse model (Exp2Syn) to capture specific features of inhibitory synapses and their modulation by various interneuron types and external conditions. Below, key biological concepts represented in the model are identified and explained:

Inhibitory Synapses

Inhibitory synapses are critical in controlling neuronal excitability and shaping the dynamic range and timing of neuronal circuits. This model simulates a synapse where the neurotransmitter receptor leads to inhibition, typically hyperpolarizing the postsynaptic membrane.

Receptor Kinetics

Exp2Syn Model

Parameters tau1 and tau2

Voltage-Dependent Modulation

The model incorporates voltage-dependent outward rectification:

Function rect(v)

Inhibitory Interneuron Markers

Synaptic Markers (vgat, sst, npy, pv)

Control of Synaptic Activity

isOn Attribute

Summary

This computational model captures the essential kinetic and modulatory properties of specific inhibitory synapses, including the molecular identity and voltage-dependent characteristics. These features allow researchers to simulate how various types of inhibitory synapses integrate into neuronal networks, reflecting their roles in regulating neural excitability and information processing in the brain.