Limitations of opto-electronic neural networks

Jeffrey Yu, Alan Johnston, Demetri Psaltis, David Brady

Research output: Contribution to journalArticlepeer-review


Neural networks are composed of three components: Neurons, weights, and connections. Limitation on implementing these components in electronics and optics are discussed. We show that using electronically fabricated neurons and a combination of optics and electronics for the weights and connections efficiently utilizes the advantage of each technology. The choice of the technology used to implement the weights and connections depends on the type of neural network being built.

Original languageEnglish (US)
Pages (from-to)40-51
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Jun 29 1989
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Limitations of opto-electronic neural networks'. Together they form a unique fingerprint.

Cite this