Bulletin of the American Physical Society
APS March Meeting 2019
Volume 64, Number 2
Monday–Friday, March 4–8, 2019; Boston, Massachusetts
Session R67: Physics of Neural Systems II
8:00 AM–11:00 AM,
Thursday, March 7, 2019
BCEC
Room: 050
Sponsoring
Unit:
DBIO
Chair: Vijay Singh, University of Pennsylvania
Abstract: R67.00008 : Chaotic itinerancy in reservoir computing*
9:24 AM–9:36 AM
Presenter:
Hiromichi Suetani
(Faculty of Science and Technology, Oita University)
Author:
Hiromichi Suetani
(Faculty of Science and Technology, Oita University)
In this study, we construct a machine based on the FORCE-learning scheme for generating a set of temporal patterns that are selectable by the combination of trigger pulses through multiple channels.
We show that this machine can be actually realized, depending on the adequate choice of parameters of the reservoir. When the machine shows optimal performances, it also shows intermittent transitions among several typical patterns without any trigger inputs, i.e., spontaneous mode, which reminds us chaotic itinerancy [3]. We characterize this pliability of chaos in terms of the large deviation fluctuations of Lyapunov exponents and visualize the itinerant dynamics using the manifold learning such as t-SNE.
[1] H. Jäger, W. Maas and J. Principe, Neural Networks 20, 287 (2007).
[2] D. Sussillo and L.F. Abbott, Neuron 63, 544 (2009).
[3] K. Kaneko and I. Tsuda. Chaos 13, 926 (2003).
*This study is supported by MEXT/JSPS KAKENHI Grant Number 16H01617, 16K00059 and 18H05136.
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