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 …
Scholar articles
H Takahashi, S Yasuda, Y Yada, R Kanzaki - Frontiers in Neuroscience, 2016