Volume 10 Supplement 1
Modeling the functional connectivity in embodied in vitro neuronal network
© Novellino et al; licensee BioMed Central Ltd. 2009
Published: 13 July 2009
We developed a hybrid neuro-robotic bi-directional interface connecting in-vitro neuronal networks to a small mobile robot to investigate neural processes and functional modification that underlie sensorimotor learning in the nervous system [1, 2]. We describe the investigation of the effect of the stimulus-induced distributed plasticity and functional connectivity on the information processing capabilities of the neuronal network. The results evidence a modification at functional connectivity level that can be described in terms of a Hebbian learning rule.
The hypothetical configuration for the obstacle avoidance achievement requires the cross-connection weights to be weaker than the direct ones. The achieve modulation is close to the theoretical achievement thus confirming the possibility to describe the embodied neuro-robotic paradigm in terms of Hebbian rules.
- Novellino A, D'Angelo P, Cozzi L, Chiappalone M, Sanguineti V, Martinoia S: Connecting neurons to a mobile robot: an in vitro bidirectional neural interface. Comput Intell Neurosci. 2007, 1-13. 10.1155/2007/12725. doi:10.1155/2007/12725.Google Scholar
- Cozzi L, D'Angelo P, Sanguineti V: Encoding of time-varying stimuli in populations of cultured neurons. Biol Cybern. 2006, 94: 335-349. 10.1007/s00422-006-0051-2. doi: 10.1007/s00422-006-0051-2PubMedView ArticleGoogle Scholar
- Hebb DO: Organization of Behavior. 1949, John Wiley & Sons, New YorkGoogle Scholar
This article is published under license to BioMed Central Ltd.