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Pattern Recognition Using a Recurrent Neural Network Inspired on the Olfactory Bulb

  • Conference paper
New Challenges on Bioinspired Applications (IWINAC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6687))

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Abstract

The olfactory system is a remarkable system capable of discriminating very similar odorant mixtures. This is in part achieved via spatio-temporal activity patterns generated in mitral cells, the principal cells of the olfactory bulb, during odor presentation. In this work, we present a spiking neural network model of the olfactory bulb and evaluate its performance as a pattern recognition system with datasets taken from both artificial and real pattern databases. Our results show that the dynamic activity patterns produced in the mitral cells of the olfactory bulb model by pattern attributes presented to it have a pattern separation capability. This capability can be explored in the construction of high-performance pattern recognition systems.

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Authors and Affiliations

  1. Laboratory of Neural Systems, Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, SP, Brazil

    Lucas Baggio Figueira & Antonio Carlos Roque

Authors
  1. Lucas Baggio Figueira
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  2. Antonio Carlos Roque
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Editor information

Editors and Affiliations

  1. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Pl. Hospital, 1, 30201, Cartagena, Spain

    José Manuel Ferrández  & F. Javier Toledo  & 

  2. E.T.S. de Ingeniería Informática, Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José Ramón Álvarez Sánchez

  3. E.T.S. de Ingeniería Informática, Dapartamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    Félix de la Paz

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© 2011 Springer-Verlag Berlin Heidelberg

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Figueira, L.B., Roque, A.C. (2011). Pattern Recognition Using a Recurrent Neural Network Inspired on the Olfactory Bulb. In: Ferrández, J.M., Álvarez Sánchez, J.R., de la Paz, F., Toledo, F.J. (eds) New Challenges on Bioinspired Applications. IWINAC 2011. Lecture Notes in Computer Science, vol 6687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21326-7_30

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  • DOI: https://doi.org/10.1007/978-3-642-21326-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21325-0

  • Online ISBN: 978-3-642-21326-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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