A Bio-Inspired Two-Layer Mixed-Signal Flexible Programmable Chip for Early Vision

Ricardo Carmona Galán, Francisco Jiménez-Garrido, Rafael Domínguez-Castro, Servando Espejo, Tamás Roska, Csaba Rekeczky, István Petrás, Ángel Rodríguez-Vázquez

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

A bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a feasible alternative for the implementation of early vision tasks in standard technologies. A prototype chip has been designed and fabricated in 0.5 μm CMOS. It renders a computing power per silicon area and power consumption that is amongst the highest reported for a single chip. The details of the bio-inspired network model, the analog building block design challenges and trade-offs and some functional tests results are presented in this paper.

Original languageEnglish
Pages (from-to)1313-1336
Number of pages24
JournalIEEE Transactions on Neural Networks
Volume14
Issue number5
DOIs
Publication statusPublished - Sep 1 2003

Keywords

  • Cellular neural networks
  • Machine vision
  • Neural networks hardware
  • Visual systems

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

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  • Cite this

    Galán, R. C., Jiménez-Garrido, F., Domínguez-Castro, R., Espejo, S., Roska, T., Rekeczky, C., Petrás, I., & Rodríguez-Vázquez, Á. (2003). A Bio-Inspired Two-Layer Mixed-Signal Flexible Programmable Chip for Early Vision. IEEE Transactions on Neural Networks, 14(5), 1313-1336. https://doi.org/10.1109/TNN.2003.816377