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Optimization and Data Analysis in Biomedical Informatics pp 153–169Cite as

Sensory Neuroprostheses: From Signal Processing and Coding to Neural Plasticity in the Central Nervous System

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Part of the book series: Fields Institute Communications ((FIC,volume 63))

Abstract

To develop neuroprostheses that will provide the nervous system with artificial sensory input through the sensory nerves to which they will be connected, on one hand we have to determine how external stimuli are represented, coded and transmitted by the Nervous System, how neurons and neuronal ensembles process, encode and transmit perceptual information. On the other we need to know how the central nervous system reacts to the implanted neuroprostheses and quantify its anatomic and functional alterations due to the artificial input it receives from our devices. Here we present mathematical and electrophysiological methods for signal acquisition, analysis, and information coding in the tactile sensory system that include a wavelet and principal component analysis-based method for neural signal analysis and different types of frequency-based signal processing and coding performed simultaneously by the sensory neurons. Finally we present a quantitative morphological study of the effects of the neuroprosthetic stimulation using a stereological approach.

Mathematics Subject Classification (2010): Primary 92; Secondary 92C20

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Authors and Affiliations

  1. Neurocomputing and Neurorobotics Research Group and Department of Applied Mathematics (Biomathematics), Complutense University of Madrid, Avda Arcos de Jalon 118, 28037, Madrid, Spain

    Fivos Panetsos, Abel Sanchez-Jimenez & Celia Herrera-Rincon

  2. School of Optics, Complutense University of Madrid, Avda Arcos de Jalon 118, 28037, Madrid, Spain

    Fivos Panetsos & Celia Herrera-Rincon

  3. Faculty of Biology, Complutense University of Madrid, Antonio Novais 12, 28040, Madrid, Spain

    Abel Sanchez-Jimenez

Authors
  1. Fivos Panetsos
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  2. Abel Sanchez-Jimenez
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  3. Celia Herrera-Rincon
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Corresponding author

Correspondence to Celia Herrera-Rincon .

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Editors and Affiliations

  1. , Department of Industrial & Systems Engin, University of Florida, Weil Hall 401, Gainesville, 32611, Florida, USA

    Panos M. Pardalos

  2. , Department of Mathematics, University of Waterloo, University Avenue West 200, Waterloo, N2L 3G1, Ontario, Canada

    Thomas F. Coleman

  3. , Department of Industrial Engineering, University of Central Florida, Central Florida Blvd 4000, Orlando, 32816, Florida, USA

    Petros Xanthopoulos

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Panetsos, F., Sanchez-Jimenez, A., Herrera-Rincon, C. (2013). Sensory Neuroprostheses: From Signal Processing and Coding to Neural Plasticity in the Central Nervous System. In: Pardalos, P., Coleman, T., Xanthopoulos, P. (eds) Optimization and Data Analysis in Biomedical Informatics. Fields Institute Communications, vol 63. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4133-5_8

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