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Updated: May 24, 2026
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Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling
Published on: May 31, 2017
Dynamically repairing and replacing neural networks: using hybrid computational and biological tools
Justin Sanchez1, William Lytton, Jose Carmena
1Department of Biomedical Engineering, Miami Project to Cure Paralysis, University of Miami, Coral Gables, Florida, USA. jcsanchez@ miami.edu
IEEE Pulse
|February 21, 2012
Summary
This project models natural and injured sensorimotor control systems using computational and biological approaches. The goal is to develop advanced neuroprosthetic rehabilitation technologies and integrative medical devices.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Computational Biology
Background:
- Nervous system injuries significantly impair daily activities.
- Current rehabilitative solutions for neurological damage are limited.
Purpose of the Study:
- To develop a realistic computational model of sensorimotor control systems, both natural and injured.
- To create novel neuroprosthetic rehabilitative technologies.
- To establish a platform for developing integrative medical devices.
Main Methods:
- Utilizing computational and biological principles.
- Employing simulation and experimentation.
- Developing hybrid in silico/biological coadaptive symbiotic systems.
Main Results:
- A realistic computational model of sensorimotor control systems is being created.
- The project is paving the way for new neuroprosthetic rehabilitation technologies.
- A test bed for integrative medical devices is under development.
Conclusions:
- This interdisciplinary approach aims to transform neurorehabilitation.
- The developed technologies hold potential for repairing and enhancing biological systems.
- The project seeks to address the debilitating effects of nervous system injuries.
