Computer Science – Artificial Intelligence
Scientific paper
2012-04-17
Advances in Intelligent and Soft Computing, 2010, Volume 71/2010, 657-664
Computer Science
Artificial Intelligence
Scientific paper
10.1007/978-3-642-12433-4_77
Many biological processes involve synchronization between nonequivalent systems, i.e, systems where the difference is limited to a rather small parameter mismatch. The maintenance of the synchronized regime in this cases is energetically costly \cite{1}. This work studies the energy implications of synchronization phenomena in a pair of structurally flexible coupled neurons that interact through electrical coupling. We show that the forced synchronization between two nonidentical neurons creates appropriate conditions for an efficient actuation of adaptive laws able to make the neurons structurally approach their behaviours in order to decrease the flow of energy required to maintain the synchronization regime.
d'Anjou Alicia
Moujahid Abdelmalik
Sarasola Cecilia
Torrealdea Francisco J.
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