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Poster

Objective and efficient inference for couplings in neuronal networks

Yu Terada · Tomoyuki Obuchi · Takuya Isomura · Yoshiyuki Kabashima

Room 210 #74

Keywords: [ Neural Coding ] [ Statistical Physics of Learning ]


Abstract:

Inferring directional couplings from the spike data of networks is desired in various scientific fields such as neuroscience. Here, we apply a recently proposed objective procedure to the spike data obtained from the Hodgkin-Huxley type models and in vitro neuronal networks cultured in a circular structure. As a result, we succeed in reconstructing synaptic connections accurately from the evoked activity as well as the spontaneous one. To obtain the results, we invent an analytic formula approximately implementing a method of screening relevant couplings. This significantly reduces the computational cost of the screening method employed in the proposed objective procedure, making it possible to treat large-size systems as in this study.

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