Geodesic
Experimental model of neuronal network learning in dissociated hippocampal cultures
Matematičeskaâ biologiâ i bioinformatika, Tome 7 (2012), pp. 545-553.

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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. 
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     author = {A. S. Pimashkin and A. A. Gladkov and I. V. Mukhina and M. S. Burtsev and V. A. Ilyin and V. B. Kazantsev},
     title = {Experimental model of neuronal network learning in dissociated hippocampal cultures},
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A. S. Pimashkin; A. A. Gladkov; I. V. Mukhina; M. S. Burtsev; V. A. Ilyin; V. B. Kazantsev. Experimental model of neuronal network learning in dissociated hippocampal cultures. Matematičeskaâ biologiâ i bioinformatika, Tome 7 (2012), pp. 545-553. http://geodesic.mathdoc.fr/item/MBB_2012_7_a13/

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