CNN implemented by nonlinear phase dynamics in nanoscale processes

Paul M. Riechers, Richard A. Kiehl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We discuss CNNs in which the states are defined by the electrical phase of a dynamic physical process, such as electron tunneling in ultra-small junctions or integrate-and-fire processes in nanoscale structures or molecules. Such processes produce impulsive "neuron-like" waveforms which can be coupled to nearest neighbors in a 1D, 2D, or 3D array. Input data can be represented by the distribution of dc bias level, initial charge, or coupling strength within the array. Information processing can be realized through the nonlinear dynamics produced by interactions between elements, which give rise to an evolution of complex patterns in the phase-state. In this paper, we discuss information processing for a model physical system based on Coulomb blockade in a 2D array of ultra-small tunnel junctions.

Original languageEnglish (US)
Title of host publication2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
PublisherIEEE Computer Society
ISBN (Print)9781424466795
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010 - Berkeley, CA, United States
Duration: Feb 3 2010Feb 5 2010

Publication series

Name2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010

Other

Other2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
Country/TerritoryUnited States
CityBerkeley, CA
Period2/3/102/5/10

Keywords

  • Molecular electronics
  • Nanotechnology
  • Negative resistance devices
  • Nonlinear circuits

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'CNN implemented by nonlinear phase dynamics in nanoscale processes'. Together they form a unique fingerprint.

Cite this