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Volume 7   Issue 2   Year 2012
Experimental model of neuronal network learning in dissociated hippocampal cultures

Pimashkin A.S., Gladkov A.A., Mukhina I.V., Burtsev M.S., Ilyin V.A., Kazantsev V.B.

Nizhny Novgorod State University, Nizhny Novgorod, 603950, Russia
Institute of Applied Physics of RAS, Nizhny Novgorod, 603950, Russia
Nizhny Novgorod State Medicine Academy, Nizhny Novgorod, 603005, Russia
NRC Kurchatov Institute, Moscow, 123182, Russia
NII of Normal Physiology of RAMS, Moscow, 125315, Russia

Abstract. Basic principles of learning in neural networks are widely studied with the experimental model of dissociated cultures of neurons on microelectrode arrays. This approach allows local stimulation and recording of neuronal activity. It was shown that neural networks developed in dissociated neural culture can be conditioned to reply via defined electrode on electrical stimulation. There are still problems with stability and reproducibility of conditioned replies in this experimental paradigm. In our work we propose new method of neuronal culture conditioning that allows higher stability and reproducibility of learned replies.

Key words: neuron, neuronal network, microelectrode array, neuroanimat, spikes.

Table of Contents Original Article
Math. Biol. Bioinf.
doi: 10.17537/2012.7.545
published in Russian

Abstract (rus.)
Abstract (eng.)
Full text (rus., pdf)


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