Effect of Electrical Synapses on the Cycle-by-Cycle Sequential Dynamics of a Central Pattern Generator Model

This directory includes all the code and tools used in Chapter 7 of my thesis, focusing on the impact of electrical coupling in a pyloric CPG model.

🧠 Overview

This simulation models a pyloric central pattern generator (typically involving 5 or more neurons), based on the Komendantov-Kononenko equations and using a 6th-order Runge-Kutta method for integration.

It explores the role of electrical synapses in shaping cycle-by-cycle dynamics of neural sequences.

📁 Folder contents

• script_komendantov.sh: Compilation and execution script.
• entrada_parametros: Initial conditions of conductance, calcium concentration and for the firing modes of the KK model: regular, chaotic, chaotic burst.
• komendantov_pyloric_CPG_elecSIM.c: C source code specific to this model.

▶️ How to run the code

chmod +x script_komendantov.sh
./script_komendantov.sh

## 📊 Analysis and plotting

Plot dynamics using the included scripts:

python3 codes_python/plot_dynamics.py 

## 📎 Notes

    This version of the model includes electrical (gap junction) connections.

    Suitable for analyzing the impact of coupling strength and structure on timing and phase relations in the CPG.