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

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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence (IWANN 2001)

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

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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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References

  1. Barlow H. B.: The coding of sensory messsages. In ”Current problems in animal behaviour”. Cambridge University Press. Thorpe W. H. and Zangwill O. L. (Eds.) (1961) 330–360

    Google Scholar 

  2. Berkley Karen J., Badell Richard J., Blomqvist A., Bull M.: Output Systems of the Dorsal Column Nuclei in the cat. Brain Research Review. Vol. 11 (1986) 199–225

    Article  Google Scholar 

  3. Canedo, A.: Primary motor cortex influences on the descending and ascending systems. Progress in Neurobiology. Vol. 51 (1997) 287–335

    Article  Google Scholar 

  4. Canedo A., Martinez L., Mariño J.: Tonic and bursting activity in the cuneate nucleus of the chloralose anesthetized cat. Neuroscience. Vol. 84 2 (1998) 603–617

    Article  Google Scholar 

  5. Canedo A., Aguilar J.: Spatial and cortical influences exerted on cuneothalamic and thalamocortical neurons of the cat. European Journal of Neuroscience. Vol. 12 2 (2000) 2513–2533

    Google Scholar 

  6. Canedo A., Aguilar J., Mariño J.: Lemniscal recurrent and transcortical influences on cuneate neurons. Neuroscience. Vol. 97 2 (2000) 317–334

    Article  Google Scholar 

  7. Fyffe Robert E., Cheema Surindar S., Rustioni A.: Intracelular Staining Study of the Feline Cuneate Nucleus. I. Terminal Patterns of Primary Afferent Fibers. Journal of Neurophysiology. Vol. 56. 5 (1986) 1268–1283

    Google Scholar 

  8. Hines M.: A program for simulation of nerve equations with branching geometries. International Journal of Biomedical Computation. Vol. 24 (1989) 55–68

    Article  Google Scholar 

  9. Hodgkin A., Huxley A., Katz B.: Measurements of current-voltage relations in the membrane of the giant axon of Loligo. Journal of Physiology (London). Vol. 116 (1952) 424–448

    Google Scholar 

  10. Jack J. J. B., Redman S. J.: The propagation of transient potentials in some linear cable structures. J. of Physiology (London). Vol. 215 (1971) 283–320

    Google Scholar 

  11. Kuypers H. G. J. M., Tuerk J. D.: The distribution of the cortical fibers within the nuclei cuneatus and gracilis in the cat. J. Anat. Lond. Vol. 98 (1964) 143–162

    Google Scholar 

  12. Mariño J., Martínez L., Canedo A.: Coupled slow and delta oscillations between cuneothalamic and thalamocortical neurons in the chloralose anesthetized cat. Neuroscience Letters. Vol. 219 (1996) 107–110

    Article  Google Scholar 

  13. Mariño J., Martínez L., Canedo A.: Sensorimotor integration at the dorsal column nuclei. News In Physiological Sciences. Vol. 14 (1999) 231–237

    Google Scholar 

  14. Rall W.: Theoretical significance of dendritic tree for input-output relation. In Neural Theory and Modeling. Stanford University Press, Stanford. Reiss, R. F. (Ed). (1964) 73–97

    Google Scholar 

  15. Sánchez E., Barro, S., Canedo, A., Martìnez, L., Mariño, J.: Computational simulation of the principal cuneate projection neuron. Workshop \( \ddot Principles \) of Neural Integration.: Instituto Juan March de Estudios e Investigaciones (1997). Madrid.

    Google Scholar 

  16. Sánchez E., Barro, S., Canedo, A., Martìnez, L., Mariño, J.: A computational model of cuneate nucleus interneurons. Eur. J. Neurosci. Vol. 10. 10 (1998) 402

    Google Scholar 

  17. Sánchez E., Barro S., Mariño J, Canedo A., Vázquez P.: Modelling the circuitry of the cuneate nucleus. In Lecture Notes in Computer Science. Volume I. Springer Verlag. Mira J. and Sánchez Andrés J. V. (Eds). (1999) 73–85.

    Google Scholar 

  18. Sánchez E., Barro S., Mariño J, Canedo, A.: Selección de información y preprocesamiento de señales somatosensoriales en los núcleos de las columnas dorsales. Revista de Neurología. Viguera C. (Ed). (1999) 279.

    Google Scholar 

  19. Sánchez E.: Modelos del cuneatus: de la biología a la computación. Ph. D. Thesis. Santiago de Compostela. (2000).

    Google Scholar 

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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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