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

The code provided is part of a computational neuroscience study that investigates how the firing frequency of neurons is influenced by the presence and number of electrically conductive connections known as "gap junctions" within a neuronal network. Below, I describe the biological basis of this model:

Biological Basis

Neuronal Networks

Neurons communicate via electrical and chemical synapses. The code focuses on electrical synapses, which form gap junctions. These are specialized intercellular connections that allow direct electrical communication between neurons.

Gap Junctions

Firing Frequency

Computational Model

The computational model simulates a network of neurons where the number of gap junctions can vary. This aspect of the simulation aims to capture:

Data Analysis

In summary, this code helps elucidate how the presence and density of gap junctions within a neuronal network influence the firing patterns of neurons, which is vital for understanding synchronization phenomena and rhythmic processing in neural circuits.