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An oscillatory neuromotor model of handwriting generation

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Abstract

A neuromotor model of handwritten stroke generation, in which stroke velocities are expressed as a Fourier-style decomposition of oscillatory neural activities, is presented. The neural network architecture consists of an input or stroke-selection layer, an oscillatory layer, and the output layer where stroke velocities are estimated. A separate timing network prepares the network’s initial state, which is crucial for accurate stroke generation. Neurobiological significance of this preparation, and a possible mapping of our architecture onto human motor system is suggested. Interaction between timing network and oscillatory layer closely resembles interaction between Basal Ganglia and Supplementary Motor Area in the brain.

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Authors and Affiliations

  1. Machine learning group, IDIAP Research Institute, Martigny, Switzerland

    Garipelli Gangadhar

  2. Department of Biotechnology, Indian Institute of Technology, Madras, India

    Denny Joseph & V. Srinivasa Chakravarthy

Authors
  1. Garipelli Gangadhar
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  2. Denny Joseph
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  3. V. Srinivasa Chakravarthy
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Correspondence to V. Srinivasa Chakravarthy.

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Gangadhar, G., Joseph, D. & Chakravarthy, V.S. An oscillatory neuromotor model of handwriting generation. IJDAR 10, 69–84 (2007). https://doi.org/10.1007/s10032-007-0046-0

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  • DOI: https://doi.org/10.1007/s10032-007-0046-0

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