DataVXAdvanced MaterialsPaper
journal article·2021-12

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

Yuki Usami, Bram van de Ven, Dilu G. Mathew, Tao Chen, Takumi Kotooka, Yuya Kawashima, Yuichiro Tanaka, Yoichi Otsuka, Hiroshi Ohoyama, Hakaru Tamukoh, Hirofumi Tanaka, Wilfred G. van der Wiel, Takuya Matsumoto

Advanced Materials· Volume 33· Issue 48
Publisher page
Source abstract

Abstract

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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Conducting polymers and applications · Electrochemical Analysis and Applications

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Affiliations

Department of Chemistry Graduate School of Science Osaka University 1–1 Machikaneyama Toyonaka Osaka 5600043 Japan

Department of Human Intelligence Systems Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology (Kyutech) 2–4 Hibikino, Wakamatsu Kitakyushu 8080196 Japan

Research Center for Neuromorphic AI Hardware Kyushu Institute of Technology (Kyutech) 2–4 Hibikino, Wakamatsu Kitakyushu 8080196 Japan

NanoElectronics Group MESA+ Institute for Nanotechnology and BRAINS Center for Brain‐Inspired Nano Systems University of Twente P.O. Box 217 Enschede 7500 AE The Netherlands

References

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