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Computational Neuroscience

Computational Neuroscience. By: C omputational N euroscience Lab oratory, Sahand University of Technology http://ee.sut.ac.ir/Labs/CNLab/index.htm. What is Computational Neuroscience.

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Computational Neuroscience

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  1. Computational Neuroscience By: Computational Neuroscience Laboratory, Sahand University of Technology http://ee.sut.ac.ir/Labs/CNLab/index.htm

  2. What is Computational Neuroscience • Computational neuroscience is the study of brain function in terms of the information processing properties of the structures that make up the nervous system.

  3. Interdisciplinary Science Neuroscience Psychology Electrical Engineering • Mathematics Physics Cognitive Science Computer Science

  4. History Louis Lapicque introduced the integrate and fire model of the neuron in 1907 Hodgkin & Huxley created the first biophysical model of the action potential in 1952

  5. History • Hubel & Wiesel in 1959 discovered Receptive Field and Early visual processing. • David Marr's work focused on theory for cerebral neocortex

  6. History • WilfridRall presented the first multicompartmental model using cable theory in 1960 • The term "computational neuroscience" was introduced by Eric L. Schwartz in 1985

  7. Difference between computational and experimental neuroscience in terminology • Computational neuroscience relies heavily on computer simulation and modeling and so is not, perhaps purely theoretical.

  8. Computational neuroscience and neural computing Neural computing has become mainly concerned with technical applications of the theory, interested mainly in solving difficult engineering problems, while computational neuroscience has become mainly concerned with the application of the theory to understanding natural systems.

  9. Aspects of representation Computational neuroscience has focused on two distinct aspects of representation • temporal representation • population representation

  10. Temporal representation • Temporal representation deals with how neurons represent time-varying signals

  11. Population representation • Population representation deals with issues of distributed representation.

  12. Levels of Computational Brain analysis in Marr’s book • Computational theory • Representation and algorithm • Hardware implementation

  13. Role of computational neuroscience in the integration of experimental facts reflnement feedback Quantitative knowladge psychology psychology Experimental facts Experimental predictions neurophysiology Computational neuroscience neurophysiolog neuroanatomy neuroanatomy Application New question

  14. References • Fundamental of computational neuroscience by T. Trappenberg • Theoretical neuroscience by P. Dayan and L. Abbott • What is computational neuroscience? by P. Churchland, C. Koch, and T. Sejnowski • Computational neuroscience by E. Schwartz • Recherchesquantitatives sur l'excitation électrique des nerfs traitée comme unepolarisation by L. Lapicque • Lapicque's 1907 paper: from frogs to integrate-and-fire by N. Brunel and M. VanRossum • Receptive fields, binocular interaction and functional architecture in the cat's visual cortex by D. Hubel and T. Wiesel • Computational neuroscience by C. Eliasmith

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