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Neuroscience: From Neural Networks to Artificial Intelligence pp 3–32Cite as

Neuronal Networks Of The Mammalian Brain Have Functionally Different Classes Of Neurons: Suggestions For A Taxonomy Of Membrane Ionic Conductances

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Part of the book series: Research Notes in Neural Computing ((NEURALCOMPUTING,volume 4))

Abstract

There has been an explosion of newly discovered membrane ionic conductances in recent years. Besides the fast inward and outward-going conductances that make up the action potential or spike, several other subthreshold and suprathreshold ionic conductances help to decide when and how the action potentials will fire. These conductances shape neuronal firing patterns and explain various neuronal properties such as: long firing latencies, facilitation, spike frequency adaptation, pacemaking, bursting, multiple thresholds, synaptic integration and long lasting modulation by transmitters and peptides.

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Authors and Affiliations

  1. Depto. de Neurociencias, Instituto de Fisiología Celular. UNAM, Apdo. Postal 70-600, México City DF, Mexico, 04510

    José Bargas & Elvira Galarraga

  2. Dept. of Anatomy and Neurobiology, University of Tennessee. College of Medicine, Memphis, TN, 38163, USA

    D. James Surmeier

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  1. José Bargas
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  2. Elvira Galarraga
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  3. D. James Surmeier
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  1. Centro de Investigación y de Estudios Avanzados del I.P.N., Apartado Postal 14-740, 07000 D.F., México, México

    Pablo Rudomin

  2. Center for Neural Engineering, University of Southern California, 90089-2520, Los Angeles, CA, USA

    Michael A. Arbib

  3. Centro de Instrumentos, Universidad Nacional Autónoma de México, Apartado Postal 70-183, CP 04510, México D.F., México

    Francisco Cervantes-Pérez

  4. Instuto de Fisiología Celular, UNAM, México D.F., México

    Ranulfo Romo

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Bargas, J., Galarraga, E., Surmeier, D.J. (1993). Neuronal Networks Of The Mammalian Brain Have Functionally Different Classes Of Neurons: Suggestions For A Taxonomy Of Membrane Ionic Conductances. In: Rudomin, P., Arbib, M.A., Cervantes-Pérez, F., Romo, R. (eds) Neuroscience: From Neural Networks to Artificial Intelligence. Research Notes in Neural Computing, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78102-5_1

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