Publication:

Organic electronics Axon-Hillock neuromorphic circuit: towards biologically compatible, and physically flexible, integrate-and-fire spiking neural networks

Date

Date

Date
2021
Journal Article
Published version

Citations

Citation copied

Mirshojaeian Hosseini, M. J., Donati, E., Yokota, T., Lee, S., Indiveri, G., Someya, T., & Nawrocki, R. A. (2021). Organic electronics Axon-Hillock neuromorphic circuit: towards biologically compatible, and physically flexible, integrate-and-fire spiking neural networks. Journal of Physics D: Applied Physics, 54(10), 104004. https://doi.org/10.1088/1361-6463/abc585

Abstract

Abstract

Abstract

Spiking neural networks (SNNs) have emerged as a promising computational paradigm to emulate the features of natural neural tissue physiology. While hardware implementations of SNNs are being conceived to emulate biological systems, they typically rely on hard and rigid silicon electronics that are not bio-compatible. In the physical, or materials realm, organic electronics offer mechanical flexibility and bio-compatibility, allowing for the construction of neural processing systems that can be directly interfaced to biological networ

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1 since deposited on 2022-03-28
Acq. date: 2025-11-12

Additional indexing

Creators (Authors)

  • Mirshojaeian Hosseini, Mohammad Javad
    affiliation.icon.alt
  • Donati, Elisa
    affiliation.icon.alt
  • Yokota, Tomoyuki
    affiliation.icon.alt
  • Lee, Sunghoon
    affiliation.icon.alt
  • Someya, Takao
    affiliation.icon.alt
  • Nawrocki, Robert A
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
54

Number

Number

Number
10

Page range/Item number

Page range/Item number

Page range/Item number
104004

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Surfaces, Coatings and Films, Acoustics and Ultrasonics, Condensed Matter Physics, Electronic, Optical and Magnetic Materials

Language

Language

Language
English

Publication date

Publication date

Publication date
2021-03-11

Date available

Date available

Date available
2022-03-28

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0022-3727

OA Status

OA Status

OA Status
Closed

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1 since deposited on 2022-03-28
Acq. date: 2025-11-12

Citations

Citation copied

Mirshojaeian Hosseini, M. J., Donati, E., Yokota, T., Lee, S., Indiveri, G., Someya, T., & Nawrocki, R. A. (2021). Organic electronics Axon-Hillock neuromorphic circuit: towards biologically compatible, and physically flexible, integrate-and-fire spiking neural networks. Journal of Physics D: Applied Physics, 54(10), 104004. https://doi.org/10.1088/1361-6463/abc585

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