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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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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
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cited_by cdi_FETCH-LOGICAL-c2289-4947aad6e201d4cee1c83d7564acebc082bfdc41ed2f395c80ea4fddd01662203
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container_issue 48
container_start_page
container_title Advanced materials (Weinheim)
container_volume 33
creator 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
description 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.
doi_str_mv 10.1002/adma.202170379
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subjects in‐materio reservoir computing
organic electrochemical networks
polyaniline
Polyanilines
Speech recognition
spoken‐digit classification
title In‐Materio Reservoir Computing in a Sulfonated Polyaniline Network (Adv. Mater. 48/2021)
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