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 inAdvanced materials (Weinheim) Vol. 33; no. 48
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 Journal Article
LanguageEnglish
Published Weinheim Wiley Subscription Services, Inc 01.12.2021
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