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Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...

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Related Experiment Video

Updated: Jul 19, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

Tutorial: using NEURON for neuromechanical simulations.

Chris Fietkiewicz¹, Robert A McDougal^2,3,4,5, David Corrales Marco¹

¹Department of Mathematics and Computer Science, Hobart and William Smith Colleges, Geneva, NY, United States.

Frontiers in Computational Neuroscience

|August 16, 2023

Summary

This summary is machine-generated.

This tutorial demonstrates integrating brain and body simulations using the NEURON platform. It introduces a framework for neuromechanical modeling, enabling complex adaptive behaviors through coupled neural and biomechanical dynamics.

Keywords:

biomechanics body brain closed-loop motor control neural network

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Physiological, Morphological and Neurochemical Characterization of Neurons Modulated by Movement

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Area of Science:

Computational neuroscience
Biophysics
Systems biology

Background:

Brain and body dynamics are intricately linked, driving complex adaptive behaviors.
Existing simulation tools often focus on neural or biomechanical dynamics separately, lacking integrated approaches.
Bridging this gap is crucial for understanding brain-body interactions.

Purpose of the Study:

To provide a tutorial on using the NEURON simulation platform for integrated neuromechanical modeling.
To present a framework for coupling neural (brain) and biomechanical (body) systems within NEURON.
To showcase code modularity and integration capabilities using NEURON's pointer construct.

Main Methods:

Utilized NEURON's pointer construct to facilitate information sharing between brain and body modules.
Developed a framework for bidirectional communication: brain influencing body dynamics and body influencing brain dynamics via sensory feedback.
Implemented five computational models of increasing complexity to demonstrate the concepts.

Main Results:

Successfully demonstrated the integration of neural and biomechanical models within NEURON.
Showcased the utility of NEURON's pointer construct for modular code design and reuse in complex simulations.
Presented diverse models, including neuromuscular, oscillator, respiratory control, non-smooth systems, and Aplysia feeding behavior.

Conclusions:

NEURON simulation platform effectively supports integrated neuromechanical modeling.
The presented framework and pointer construct enable modular and reusable code for brain-body simulations.
This approach facilitates the development of a broad range of complex, biologically-inspired neuromechanical models.