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Prolog: Memristor Minds

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Advances in Neuromorphic Memristor Science and Applications

Part of the book series: Springer Series in Cognitive and Neural Systems ((SSCNS,volume 4))

Abstract

What is the best, near-term approach for building intelligent machines? We explore the impact of memristive memory on the technological and mathematical foundations of neuromorphic computing.

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Author information

Authors and Affiliations

  1. Hewlett-Packard Laboratories, Palo Alto, CA, USA

    Greg Snider

Authors
  1. Greg Snider
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Corresponding author

Correspondence to Greg Snider .

Editor information

Editors and Affiliations

  1. Dept. Mathematical Sciences, University of Memphis, Memphis, 38152, Tennessee, USA

    Robert Kozma

  2. , RITC, Information Directorate, Air Force Research Laboratory, Electronics Parkway 26, Rome, 13441-4514, New York, USA

    Robinson E. Pino

  3. , Mathematical Sciences, The University of Memphis, Dunn Hall 373, Memphis, 38152, Tennessee, USA

    Giovanni E. Pazienza

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Snider, G. (2012). Prolog: Memristor Minds. In: Kozma, R., Pino, R., Pazienza, G. (eds) Advances in Neuromorphic Memristor Science and Applications. Springer Series in Cognitive and Neural Systems, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4491-2_1

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