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Neural Network Providing Integrative Perception of Features and Subsecond Temporal Parameters of Sensory Stimuli

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Artificial Neural Networks and Machine Learning – ICANN 2012 (ICANN 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7552))

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Abstract

Neural network providing simultaneous perception of features and temporal parameters of sensory stimuli is presented. It is postulated that temporal parameters “when” are processed together with feature parameters “what”, and associations “what–when” are encoded in neocortical areas wherein parameters “what” are perceived. Rate of “internal clock” is inversely proportional to the time of repeated excitation of cortical area via the subthalamic, pedunculopontine and thalamic nuclei. This time depends on dopamine-modulated functioning of parallel cortico–basal ganglia–thalamocortical loop that promote disinhibition of mentioned nuclei and contrasted amplification of firing of cortical neurons initially activated by a stimulus. Parameter “when” is proportional to the number and duration of cycles of repeated cortical excitation. Time counting starts involuntary by a stimulus, or voluntary due to prefrontal cortex activation. Proposed mechanism is identical for visual, auditory or tactile stimuli owing to similarity of functioning of topically organised cortico–basal ganglia–thalamocortical loops.

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Authors and Affiliations

  1. Institute of Higher Nervous Activity & Neurophysiology, Russian Academy of Sciences, Butlerova 5a., 117485, Moscow, Russia

    Isabella Silks

Authors
  1. Isabella Silks
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Editor information

Editors and Affiliations

  1. Neuro Heuristic Research Group, University of Lausanne, 1015, Lausanne, Switzerland

    Alessandro E. P. Villa

  2. Department of Informatics, Nicolaus Copernicus University, 87-100, Toruń, Poland

    Włodzisław Duch

  3. Center for Complex Systems Studies, Kalamazoo College, 49006, Kalamazoo, MI, USA

    Péter Érdi

  4. Dipartimento di Informatica e Scienze dell’Informazione, Università di Genova, 16146, Genoa, Italy

    Francesco Masulli

  5. Institut für Neuroinformatik, Universität Ulm, 89069, Ulm, Germany

    Günther Palm

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© 2012 Springer-Verlag Berlin Heidelberg

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Silks, I. (2012). Neural Network Providing Integrative Perception of Features and Subsecond Temporal Parameters of Sensory Stimuli. In: Villa, A.E.P., Duch, W., Érdi, P., Masulli, F., Palm, G. (eds) Artificial Neural Networks and Machine Learning – ICANN 2012. ICANN 2012. Lecture Notes in Computer Science, vol 7552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33269-2_46

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  • DOI: https://doi.org/10.1007/978-3-642-33269-2_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33268-5

  • Online ISBN: 978-3-642-33269-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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