Collective and synchronous dynamics of photonic spiking neurons

Takahiro Inagaki (), Kensuke Inaba (), Timothée Leleu, Toshimori Honjo, Takuya Ikuta, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Kazuyuki Aihara and Hiroki Takesue
Additional contact information
Takahiro Inagaki: NTT Basic Research Laboratories, NTT Corporation
Kensuke Inaba: NTT Basic Research Laboratories, NTT Corporation
Timothée Leleu: Institute of Industrial Science, The University of Tokyo
Toshimori Honjo: NTT Basic Research Laboratories, NTT Corporation
Takuya Ikuta: NTT Basic Research Laboratories, NTT Corporation
Koji Enbutsu: NTT Device Technology Laboratories, NTT Corporation
Takeshi Umeki: NTT Device Technology Laboratories, NTT Corporation
Ryoichi Kasahara: NTT Device Technology Laboratories, NTT Corporation
Kazuyuki Aihara: Institute of Industrial Science, The University of Tokyo
Hiroki Takesue: NTT Basic Research Laboratories, NTT Corporation

Nature Communications, 2021, vol. 12, issue 1, 1-8

Abstract: Abstract Nonlinear dynamics of spiking neural networks have recently attracted much interest as an approach to understand possible information processing in the brain and apply it to artificial intelligence. Since information can be processed by collective spiking dynamics of neurons, the fine control of spiking dynamics is desirable for neuromorphic devices. Here we show that photonic spiking neurons implemented with paired nonlinear optical oscillators can be controlled to generate two modes of bio-realistic spiking dynamics by changing optical-pump amplitude. When the photonic neurons are coupled in a network, the interaction between them induces an effective change in the pump amplitude depending on the order parameter that characterizes synchronization. The experimental results show that the effective change causes spontaneous modification of the spiking modes and firing rates of clustered neurons, and such collective dynamics can be utilized to realize efficient heuristics for solving NP-hard combinatorial optimization problems.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-021-22576-4 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22576-4

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-021-22576-4

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().