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Perspective: an optoelectronic future for heterogeneous, dendritic computing.
El Srouji, Luis; Abdelghany, Mahmoud; Ambethkar, Hari Rakul; Lee, Yun-Jhu; Berkay On, Mehmet; Yoo, S J Ben.
Afiliação
  • El Srouji L; Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, United States.
  • Abdelghany M; Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, United States.
  • Ambethkar HR; Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, United States.
  • Lee YJ; Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, United States.
  • Berkay On M; Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, United States.
  • Yoo SJB; Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, United States.
Front Neurosci ; 18: 1394271, 2024.
Article em En | MEDLINE | ID: mdl-38699677
ABSTRACT
With the increasing number of applications reliant on large neural network models, the pursuit of more suitable computing architectures is becoming increasingly relevant. Progress toward co-integrated silicon photonic and CMOS circuits provides new opportunities for computing architectures with high bandwidth optical networks and high-speed computing. In this paper, we discuss trends in neuromorphic computing architecture and outline an optoelectronic future for heterogeneous, dendritic neuromorphic computing.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça