Analog Integrated Circuit Design for Spike Time Dependent Encoder and Reservoir in Reservoir Computing Processors

Abstract

The objective of this effort was to: (a) develop novel and fundamental methodologies for data representation using hardware-based spike timing dependent encoding for neuromorphic processors; (b) build a new design of computationally efficient delay-based reservoirs that meet the requirements of high dimensionality and finite memory. This project resulted in an agile analog integrated circuit design of a spike-time encoding circuit as a signal conditioner and electronic reservoir as a dynamic processor for the reservoir computing systems. This is a multidisciplinary effort bridged high-performance computing, nanotechnology, and integrated circuits and systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2018
Accession Number
AD1045820

Entities

People

  • Yi Yang

Organizations

  • University of Kansas

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Brain
  • Complementary Metal-Oxide Semiconductors
  • Computational Neuroscience
  • Computational Science
  • Computer Programming
  • Computers
  • Electronic Circuits
  • Information Processing
  • Information Science
  • Integrated Circuits
  • Neural Networks
  • Recurrent Neural Networks
  • Reservoir Computing
  • Signal Processing
  • United States

Fields of Study

  • Engineering

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Integrated Circuit Design and Technology.
  • Software Engineering.

Technology Areas

  • Biotechnology
  • Microelectronics