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Mimicking human neuronal pathways in silico: an emergent model on the effective connectivity

Gürcan, Önder and Türker, Kemal and Mano, Jean-Pierre and Bernon, Carole and Dikenelli, Oguz and Glize, Pierre Mimicking human neuronal pathways in silico: an emergent model on the effective connectivity. (2014) Journal of Computational Neurosciences, 36 (2). 235-257. ISSN 0929-5313

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Official URL: http://dx.doi.org/10.1007/s10827-013-0467-3

Abstract

We present a novel computational model that detects temporal configurations of a given human neuronal pathway and constructs its artificial replication. This poses a great challenge since direct recordings from individual neurons are impossible in the human central nervous system and therefore the underlying neuronal pathway has to be considered as a black box. For tackling this challenge, we used a branch of complex systems modeling called artificial self-organization in which large sets of software entities interacting locally give rise to bottom-up collective behaviors. The result is an emergent model where each software entity represents an integrate-and-fire neuron. We then applied the model to the reflex responses of single motor units obtained from conscious human subjects. Experimental results show that the model recovers functionality of real human neuronal pathways by comparing it to appropriate surrogate data. What makes the model promising is the fact that, to the best of our knowledge, it is the first realistic model to self-wire an artificial neuronal network by efficiently combining neuroscience with artificial self-organization. Although there is no evidence yet of the model's connectivity mapping onto the human connectivity, we anticipate this model will help neuroscientists to learn much more about human neuronal networks, and could also be used for predicting hypotheses to lead future experiments.

Item Type:Article
Additional Information:Thanks to Springer editor. The definitive version is available at http://link.springer.com The original PDF of the article can be found at Journal of Computational Neurosciences website : http://link.springer.com/article/10.1007%2Fs10827-013-0467-3
HAL Id:hal-01154249
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Ege University - EGE (TURKEY)
Other partners > Koc University (TURKEY)
Other partners > UPETEC (FRANCE)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:12 Mar 2015 09:49

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