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International Work-Conference on Artificial Neural Networks

IWANN 2001: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence pp 21–29Cite as

A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2084))

Abstract

Intracellular recordings obtained under cutaneous and lemniscal stimulation show that the afferent fibers can establish excitatory and inhibitory synaptic connections with cuneothalamic neurons [5]. In addition, distinct types of recurrent collaterals with the capability of either exciting or inhibiting both cuneothalamic neurons and interneurons were also discovered [6]. With these data we have generated hypothesis about which circuits are implicated and also developed realistic computational models to test the hypothesis and study the cuneate properties [17],[18]. The results show that the cuneate could perform spatial and temporal filtering and therefore detect dynamic edges.

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Author information

Authors and Affiliations

  1. Grupo de Sistemas Intelixentes (GSI) Departamento de Electrroseonica e Computaciroseon, Facultade de Froseisicas, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Spain

    Eduardo Sroseanchez & Senrosesen Barro

  2. Departamento de Fisiolaxroseia, Facultade de Medicina, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Spain

    Jorge Mariño & Antonio Canedo

Authors
  1. Eduardo Sroseanchez
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  2. Senrosesen Barro
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  3. Jorge Mariño
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  4. Antonio Canedo
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial Sanda del Rey, Universidad Nacional de Educación a Distancia, s/n., Madrid, 28040, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Sroseanchez, E., Barro, S., Mariño, J., Canedo, A. (2001). A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus. In: Mira, J., Prieto, A. (eds) Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence. IWANN 2001. Lecture Notes in Computer Science, vol 2084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45720-8_3

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  • DOI: https://doi.org/10.1007/3-540-45720-8_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42235-8

  • Online ISBN: 978-3-540-45720-6

  • eBook Packages: Springer Book Archive

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