Frontiers in Neuroscience (Apr 2024)

Perspective: an optoelectronic future for heterogeneous, dendritic computing

  • Luis El Srouji,
  • Mahmoud Abdelghany,
  • Hari Rakul Ambethkar,
  • Yun-Jhu Lee,
  • Mehmet Berkay On,
  • S. J. Ben Yoo

DOI
https://doi.org/10.3389/fnins.2024.1394271
Journal volume & issue
Vol. 18

Abstract

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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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