DocumentCode
663089
Title
Embodied neuronal assemblies: A closed-loop environment for coding and decoding studies
Author
Tessadori, Jacopo ; Venuta, Daniele ; Kumar, Sahoo Subhendu ; Bisio, Marta ; Pasquale, Valentina ; Chiappalone, Michela
Author_Institution
Neurosci. & Brain Technol. Dept., Ist. Italiano di Tecnol. (IIT), Genoa, Italy
fYear
2013
fDate
6-8 Nov. 2013
Firstpage
899
Lastpage
902
Abstract
Behaviors, from simple to most complex, require a two-way interaction between brain and the environment and the contribution of different brain areas depending on the orchestrated activation of neuronal assemblies. We used cultured networks coupled to Micro Electrode Arrays - MEAs as a simplified model system to investigate the computational properties of neuronal assemblies. The proposed neuro-robotic framework provided a suitable experimental environment for embodied electrophysiology as it allowed long-term multisite recording and stimulation in a closed-loop configuration. Here we present the realized system and a novel experimental protocol that can be conveniently used to study coding mechanisms in neuronal systems.
Keywords
bioelectric phenomena; biomedical electrodes; brain; closed loop systems; decoding; medical robotics; medical signal processing; microelectrodes; neural nets; neurophysiology; MEA; Micro Electrode Arrays; brain areas; closed-loop configuration; closed-loop environment; coding mechanisms; computational properties; cultured networks; decoding study; embodied electrophysiology; embodied neuronal assemblies; experimental environment; experimental protocol; long-term multisite recording; neuro-robotic framework; neuronal systems; orchestrated activation; simplified model system; stimulation; two-way interaction; Electrodes; Electronic mail; Encoding; Mobile robots; Neuroscience; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location
San Diego, CA
ISSN
1948-3546
Type
conf
DOI
10.1109/NER.2013.6696080
Filename
6696080
Link To Document