Presentation 2023-03-26
Hardware Implementation of Predictive Coding Networks based on the Free Energy Principle
Naruki Hagiwara, Takafumi Kunimi, Kota Ando, Megumi Akai, Tetsuya Asai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Agents form generative models in the brain through perception and actions for adapting to the external environment. In this study, we focus on the free energy principle, which can computationally explain these processes, and aim to physically implement it as neuromorphic hardware. Neuromorphic hardware in next generation being capable of performing autonomous processing by minimizing the information free energy was proposed in which the dynamics derived from the gradient descent were represented on analog electric circuits.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Neuromorphic hardware / The free energy principle / Analog electric circuit / Artificial intelligence
Paper # CCS2022-69
Date of Issue 2023-03-19 (CCS)

Conference Information
Committee CCS
Conference Date 2023/3/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) RUSUTSU RESORT
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Megumi Akai(Hokkaido Univ.)
Vice Chair Hidehiro Nakano(Tokyo City Univ.) / Masaki Aida(TMU)
Secretary Hidehiro Nakano(Shibaura Inst. of Tech.) / Masaki Aida(Mie Univ.)
Assistant Hiroyuki Yasuda(Univ. of Tokyo) / Hiroyasu Ando(Tsukuba Univ.) / Tomoyuki Sasaki(Shonan Inst. of Tech.) / Miki Kobayashi(Rissho Univ.)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Hardware Implementation of Predictive Coding Networks based on the Free Energy Principle
Sub Title (in English)
Keyword(1) Neuromorphic hardware
Keyword(2) The free energy principle
Keyword(3) Analog electric circuit
Keyword(4) Artificial intelligence
1st Author's Name Naruki Hagiwara
1st Author's Affiliation Hokkaido University(Hokkaido Univ.)
2nd Author's Name Takafumi Kunimi
2nd Author's Affiliation Hokkaido University(Hokkaido Univ.)
3rd Author's Name Kota Ando
3rd Author's Affiliation Hokkaido University(Hokkaido Univ.)
4th Author's Name Megumi Akai
4th Author's Affiliation Hokkaido University/Osaka University(Hokkaido Univ./Osaka Univ.)
5th Author's Name Tetsuya Asai
5th Author's Affiliation Hokkaido University(Hokkaido Univ.)
Date 2023-03-26
Paper # CCS2022-69
Volume (vol) vol.122
Number (no) CCS-453
Page pp.pp.36-41(CCS),
#Pages 6
Date of Issue 2023-03-19 (CCS)