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Visualization of Multineuronal Spike Activity Rie Kimura 1 , Yuji Ikegaya 1,2 1Laboratory of Chemical Pharmacology, Graduate School of Pharmaceutical Sciences, The University of Tokyo 2Precursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency Keyword: functional multineuron calcium imaging , action potential , neuronal network , information processing , hippocampus pp.747-754
Published Date 2008/7/1
DOI https://doi.org/10.11477/mf.1416100307
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Abstract

 The neuronal network is a computing system that transforms input to output. This computation involves complex nonlinear processes that are carried out with polysynaptic feedforward and feedback microcircuitry. Thus it cannot be assessed by isolating responses of single neurons or by averaging multineuronal responses. To solve this problem, functional multineuron calcium imaging (fMCI) is a promising option. This is a large-scale recording technique that simultaneously monitors the spatiotemporal patterns of spikes emitted by hundreds of neurons with single-cell resolution. Here, we review the availability and actual applications of fMCI. Using fMCI, we attempt to understand the manner in which information is processed in the hippocampal networks. The hippocampus receives information from the cortex; relays it through the dentate gyrus (DG), Cornu Ammonis (CA) 3, and then CA1; and sends it back to the cortex. We placed 2 stimulation electrodes (Stim A and Stim B) in the DG granule cell layer of cultured hippocampal networks and monitored the firing activity of a population of CA1 pyramidal neurons. In this experimental design, the hippocampal polysynaptic network is regarded as a huge arithmetic operator that converts DG inputs to CA1 outputs. We found that the hippocampal polysynaptic network functions as a complex parallel and distributed processing system.


Copyright © 2008, Igaku-Shoin Ltd. All rights reserved.

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電子版ISSN 1344-8129 印刷版ISSN 1881-6096 医学書院

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