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From Neuron to Brain: Statistical Physics of the Nervous System

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Developments in Mathematical and Experimental Physics

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Abstract

A common experimental neuroscience protocol is to record the single neuron activity in response to repeated stimulus presentations and analyze how this activity encodes for stimulus properties. Neurons are embedded in a large network and their response properties depend on the dynamical state of the network. I discuss how brain chemicals — neuromodulators — can dynamically change the coherence and frequency content of network activity; how the network coherence affects the neuronal response to current injection and how this can form the neural correlate for an important computation — gain modulation — that the brain performs.

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Author information

Authors and Affiliations

  1. Sloan-Swartz Center for Theoretical Neurobiology and Computional Neurobiology Lab, Salk Institute, 10010 N. Torrey Pines Rd, La Jolla, CA, 92037, USA

    Paul H. E. Tiesinga

Authors
  1. Paul H. E. Tiesinga
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Editor information

Editors and Affiliations

  1. Universidad Autónoma Metropolitana—Iztapalapa, Mexico City, Mexico

    Alfredo Macias , Francisco Uribe  & Enrique Diaz ,  & 

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© 2003 Springer Science+Business Media New York

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Tiesinga, P.H.E. (2003). From Neuron to Brain: Statistical Physics of the Nervous System. In: Macias, A., Uribe, F., Diaz, E. (eds) Developments in Mathematical and Experimental Physics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0207-4_10

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  • DOI: https://doi.org/10.1007/978-1-4615-0207-4_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4965-5

  • Online ISBN: 978-1-4615-0207-4

  • eBook Packages: Springer Book Archive

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