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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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Large-scale neuromorphic computing systems.

Steve Furber1

  • 1School of Computer Science, The University of Manchester Oxford Road, Manchester M13 9PL UK.

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|August 17, 2016
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Summary
This summary is machine-generated.

Neuromorphic computing, inspired by the brain, uses novel hardware for advanced information processing. This review details current large-scale projects and their potential for neural modeling.

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Area of Science:

  • Computer Science
  • Neuroscience
  • Electrical Engineering

Background:

  • Neuromorphic computing draws inspiration from neurobiology, diverging from conventional computing paradigms.
  • Pioneered by Carver Mead in the late 1980s, its development has been supported by advances in Very-Large-Scale Integration (VLSI) technology.

Purpose of the Study:

  • To provide a historical overview of neuromorphic engineering.
  • To focus on current large-scale neuromorphic projects, analyzing their features, methodologies, and applications.
  • To highlight the complementary and distinct aspects of various neuromorphic approaches for neural modeling.

Main Methods:

  • Historical review of neuromorphic engineering.
  • Analysis of principal current large-scale neuromorphic projects.
  • Comparative assessment of project features, advantages, and drawbacks.

Main Results:

  • Identification of key large-scale neuromorphic projects and their unique characteristics.
  • Evaluation of the strengths and limitations of different neuromorphic approaches.
  • Demonstration of how these projects can benefit neural modellers.

Conclusions:

  • The field of neuromorphic computing is experiencing significant growth, driven by major funding initiatives and advancements in brain-related research.
  • Current large-scale projects offer diverse capabilities that can significantly advance our understanding of brain information processing.
  • Neuromorphic engineering provides powerful tools for neural modellers, bridging the gap between computational systems and biological brains.