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Change of Network Dynamics in a Neuro-robotic System

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Biomimetic and Biohybrid Systems (Living Machines 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8608))

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Abstract

In the past, tetanic stimulation has been used in several different instances to induce changes in the firing patterns of neural networks in vitro. In this paper, we ran a new experimental campaign to verify if this protocol induced lasting changes and if those changes were predictable. We found out that our stimulation protocol led to different results in cortical and hippocampal preparations: in the first case, stronger connections were weakened, resulting in a reduction of bursting activity and late evoked response; in the case of hippocampal preparations, single strong connections underwent strong changes but, on average, remained unchanged. In both preparations, the geometry of induced changes remains largely uncorrelated with the actual site of stimulation delivery.

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Author information

Authors and Affiliations

  1. Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy

    Irene Nava, Jacopo Tessadori & Michela Chiappalone

Authors
  1. Irene Nava
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  2. Jacopo Tessadori
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  3. Michela Chiappalone
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Editor information

Editors and Affiliations

  1. Universitat Pompeu Fabra, Barcelona, Spain

    Armin Duff

  2. University of Bristol, UK

    Nathan F. Lepora

  3. University of Pompeau Fabra, Barcelona, Spain

    Anna Mura

  4. University of Sheffield, Sheffield, UK

    Tony J. Prescott

  5. Universitat Pompeu Fabra and Catalan Institution for Research and Advanced Studies, Barcelona, Spain

    Paul F. M. J. Verschure

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© 2014 Springer International Publishing Switzerland

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Nava, I., Tessadori, J., Chiappalone, M. (2014). Change of Network Dynamics in a Neuro-robotic System. In: Duff, A., Lepora, N.F., Mura, A., Prescott, T.J., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2014. Lecture Notes in Computer Science(), vol 8608. Springer, Cham. https://doi.org/10.1007/978-3-319-09435-9_20

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  • DOI: https://doi.org/10.1007/978-3-319-09435-9_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09434-2

  • Online ISBN: 978-3-319-09435-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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