Related Experiment Video
Updated: Aug 20, 2025

26:41
Perspectives on Neuroscience
Published on: July 31, 2007
5.0K
Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering
Michela Chiappalone1,2, Vinicius R Cota2, Marta Carè1,2
1Department of Informatics, Bioengineering, Robotics System Engineering (DIBRIS), University of Genova, 16145 Genova, Italy.
Brain Sciences
|November 24, 2022
Summary
Next-generation neuroprosthetics leverage neuromorphic engineering for efficient, real-time brain repair. These closed-loop systems enhance synergy between technology and biology, paving the way for advanced brain-prostheses.
Area of Science:
- Neuroengineering
- Neuroprosthetics
- Biomedical Devices
Background:
- Neuroprostheses typically restore sensory/motor functions.
- Emerging devices target direct brain-level intervention.
- Next-generation devices require enhanced brain repair capabilities.
Purpose of the Study:
- To review the first real-time hardware neuromorphic prosthesis.
- To explore technological improvements for neural signal processing.
- To discuss innovative neuroprosthetics for translational research.
Main Methods:
- Review of a case study on a real-time hardware neuromorphic prosthesis.
- Analysis of closed-loop systems with neuromorphic elements.
- Discussion of technological advancements in neural interfacing.
Main Results:
- Demonstrated bidirectional communication between neuronal populations in vitro.
- Highlighted the potential of neuromorphic elements for energy efficiency and real-time processing.
- Presented perspectives on novel in vitro and in vivo experimental designs.
Conclusions:
- Neuromorphic-based closed-loop neuroprostheses are crucial for next-generation brain repair.
- These systems offer improved synergy between technological and biological components.
- Advancements may lead to 'brain-prostheses' capable of rewiring or substituting injured nervous systems.
Keywords:
brain rewiringclosed-loopelectroceuticalshybrid neurotechnologiesin vitroin vivoneuromorphicreal-time
