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International Conference on Neural Information Processing

ICONIP 2015: Neural Information Processing pp 198–205Cite as

Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9491))

Abstract

We propose wave-based computing based on coupled oscillators to avoid the inter-connection bottleneck in large scale and densely integrated cognitive systems. In addition, we introduce the concept of reservoir computing to coupled oscillator systems for non-conventional physical implementation and reduction of the training cost of large and dense cognitive systems. We show that functional approximation and regression can be efficiently performed by synchronization of coupled oscillators and subsequent simple readouts.

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References

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Author information

Authors and Affiliations

  1. IBM Research - Tokyo, Kawasaki, Kanagawa, 212-0032, Japan

    Toshiyuki Yamane, Yasunao Katayama & Daiju Nakano

  2. Graduate School of Engineering, The University of Tokyo, Tokyo, 113-8656, Japan

    Ryosho Nakane & Gouhei Tanaka

Authors
  1. Toshiyuki Yamane
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  2. Yasunao Katayama
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  3. Ryosho Nakane
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  4. Gouhei Tanaka
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  5. Daiju Nakano
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Corresponding author

Correspondence to Toshiyuki Yamane .

Editor information

Editors and Affiliations

  1. University of Istanbul, Istanbul, Turkey

    Sabri Arik

  2. University at Qatar, Doha, Qatar

    Tingwen Huang

  3. Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia

    Weng Kin Lai

  4. University of Science Technology, Wuhan, China

    Qingshan Liu

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© 2015 Springer International Publishing Switzerland

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Yamane, T., Katayama, Y., Nakane, R., Tanaka, G., Nakano, D. (2015). Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9491. Springer, Cham. https://doi.org/10.1007/978-3-319-26555-1_23

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  • DOI: https://doi.org/10.1007/978-3-319-26555-1_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26554-4

  • Online ISBN: 978-3-319-26555-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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