Computational Intelligence and Neuroscience

Computational Intelligence and Neuroscience / 2007 / Article
Special Issue

Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications

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Research Article | Open Access

Volume 2007 |Article ID 012725 | https://doi.org/10.1155/2007/12725

A. Novellino, P. D'Angelo, L. Cozzi, M. Chiappalone, V. Sanguineti, S. Martinoia, "Connecting Neurons to a Mobile Robot: An In Vitro Bidirectional Neural Interface", Computational Intelligence and Neuroscience, vol. 2007, Article ID 012725, 13 pages, 2007. https://doi.org/10.1155/2007/12725

Connecting Neurons to a Mobile Robot: An In Vitro Bidirectional Neural Interface

Academic Editor: Fabio Babiloni
Received27 Dec 2006
Revised04 Apr 2007
Accepted18 Jun 2007
Published29 Jul 2007

Abstract

One of the key properties of intelligent behaviors is the capability to learn and adapt to changing environmental conditions. These features are the result of the continuous and intense interaction of the brain with the external world, mediated by the body. For this reason x201C;embodiment” represents an innovative and very suitable experimental paradigm when studying the neural processes underlying learning new behaviors and adapting to unpredicted situations. To this purpose, we developed a novel bidirectional neural interface. We interconnected in vitro neurons, extracted from rat embryos and plated on a microelectrode array (MEA), to external devices, thus allowing real-time closed-loop interaction. The novelty of this experimental approach entails the necessity to explore different computational schemes and experimental hypotheses. In this paper, we present an open, scalable architecture, which allows fast prototyping of different modules and where coding and decoding schemes and different experimental configurations can be tested. This hybrid system can be used for studying the computational properties and information coding in biological neuronal networks with far-reaching implications for the future development of advanced neuroprostheses.

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Copyright © 2007 A. Novellino et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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