Authors
Hirokazu Takahashi, Shusaku Yasuda, Yuichiro Yada, Ryohei Kanzaki
Publication date
2016
Journal
Frontiers in Neuroscience
Volume
27
Description
Frontiers | Reservoir computing with dissociated neuronal culture Event Abstract Back to Event Reservoir computing with dissociated neuronal culture Hirokazu Takahashi 1* , Shusaku Yasuda 1 , Yuichiro Yada 1 and Ryohei Kanzaki 1 1 The University of Tokyo, Research Center for Advanced Science and Technology, Japan Motivation The Darwinian principle may operate in the cerebral cortex, in which the sources of intelligence are diversification and selection of neural activity patterns [1]. From diversified, chaotic activities of dissociated neuronal culture, we attempted to extract a coherent temporal pattern by utilizing an algorithm of reservoir computing, an emerging field of machine learning of recurrent neural network [2]. Material and Methods A closed loop system with neuronal cultures was developed, as shown in Fig. 1, in order to implement the first-order reduced and controlled error learning, or FORCE …
Total citations
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Scholar articles
H Takahashi, S Yasuda, Y Yada, R Kanzaki - Frontiers in Neuroscience, 2016