Abstract
Introduction 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.
Highlights
Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Don H Johnson Meeting abstracts – A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/pdf/1471-2202-10-S1-info.pdf
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
Summary
Address: 1Institute for Health Consumer and Protection, Joint Research Centre, Ispra (VA), 21020, Italy, 2Department of Biophysical and Electronic Engineering, University of Genova, Genova, 16145, Italy and 3Department of Neuroscience and Brain Technologies, Italian Institute of Technology, Genova, 16163, Italy. Published: 13 July 2009 BMC Neuroscience 2009, 10(Suppl 1):P146 doi:10.1186/1471-2202-10-S1-P146. Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Don H Johnson Meeting abstracts – A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/pdf/1471-2202-10-S1-info.pdf
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