In‐Materio Reservoir Computing in a Sulfonated Polyaniline Network (Adv. Mater. 48/2021)

Reservoir Computing In materio reservoir computing is a direct way for mimicking spatiotemporal dynamics as found in animal brains. In article number 2102688, Hirofumi Tanaka, Wilfred G. van der Wiel, Takuya Matsumoto, and co‐workers report a sulfonated polyaniline organic electrochemical random net...

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Bibliographic Details
Published in:Advanced materials (Weinheim) 2021-12, Vol.33 (48), p.n/a
Main Authors: Usami, Yuki, Ven, Bram, Mathew, Dilu G., Chen, Tao, Kotooka, Takumi, Kawashima, Yuya, Tanaka, Yuichiro, Otsuka, Yoichi, Ohoyama, Hiroshi, Tamukoh, Hakaru, Tanaka, Hirofumi, Wiel, Wilfred G., Matsumoto, Takuya
Format: Article
Language:English
Subjects:
in‐materio reservoir computing
organic electrochemical networks
polyaniline
Polyanilines
Speech recognition
spoken‐digit classification
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Summary:Reservoir Computing In materio reservoir computing is a direct way for mimicking spatiotemporal dynamics as found in animal brains. In article number 2102688, Hirofumi Tanaka, Wilfred G. van der Wiel, Takuya Matsumoto, and co‐workers report a sulfonated polyaniline organic electrochemical random network device fabricated by simple dropcasting. They demonstrate in materio reservoir computing for a speech‐recognition task, exploiting the rich time dynamics of the electrochemical system.
ISSN:0935-9648
1521-4095
DOI:10.1002/adma.202170379