Exploration of spatial-temporal dynamic phenomena in a 32 × 32-Cell stored program two-layer cnn universal machine chip prototype

István Petrás, Csaba Rekeczky, Tamás Roska, Ricardo Carmona, Francisco Jiménez-Garrido, Angel Rodríguez-Vázquez

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

This paper describes a full-custom mixed-signal chip that embeds digitally programmable analog parallel processing and distributed image memory on a common silicon substrate. The chip was designed and fabricated in a standard 0.5 μm CMOS technology and contains approximately 500 000 transistors. It consists of 1024 processing units arranged into a 32 × 32 grid. Each processing element contains two coupled CNN cores, thus, constituting two parallel layers of 32 × 32 nodes. The functional features of the chip are in accordance with the 2nd Order Complex Cell CNN-UM architecture. It is composed of two CNN layers with programmable inter- and intra-layer connections between cells. Other features are: cellular, spatial-invariant array architecture; randomly selectable memory of instructions; random storage and retrieval of intermediate images. The chip is capable of completing algorithmic image processing tasks controlled by the user-selected stored instructions. The internal analog circuitry is designed to operate with 7-bits equivalent accuracy. The physical implementation of a CNN containing second order cells allows real-time experiments of complex dynamics and active wave phenomena. Such well-known phenomena from the reaction-diffusion equations are traveling waves, autowaves, and spiral-waves. All of these active waves are demonstrated on-chip. Moreover this chip was specifically designed to be suitable for the computation of biologically inspired retina models. These computational experiments have been carried out in a developmental environment designed for testing and programming the analogic (analog-and-logic) programmable array processors.

Original languageEnglish
Pages (from-to)691-710
Number of pages20
JournalJournal of Circuits, Systems and Computers
Volume12
Issue number6
DOIs
Publication statusPublished - Dec 1 2003

Keywords

  • Cellular neural networks
  • Complex dynamics
  • Mixed signal chip
  • Nonlinear wave

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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