Models of Neural Networks (Physics of Neural Networks, v. 2)

Eytan Domany, etc., J. L. van Hemmen (Editor), and K. Schulten (Editor)

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The theory of neural nets has two new paradigms: information coding through coherent firing of the neurons and structural feedback. As compared to traditional neural nets, spiking neurons provide an extra degree of freedom: time. This degree of freedom is realized by a coherent spiking of many neurons in the network, a nonlinear phenomenon. The other paradigm, feedback, is a dominant feature of the structural organization of the brain. This volume provides an in-depth analysis of both paradigms, starting with an extensive introduction to the ideas used in the subsequent chapters. In addition, one finds a detailed discussion of salient features such as coherent oscillations and their detection, associative binding and segregation, Hebbian learning, and sensory computations in the visual and olfactory cortex. The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neuronal networks.
  • ISBN10 3540943625
  • ISBN13 9783540943624
  • Publish Date April 1995 (first published March 1991)
  • Publish Status Out of Print
  • Out of Print 11 November 2010
  • Publish Country DE
  • Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Format Hardcover
  • Pages 360
  • Language English