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Demystifying the Brain

- A Computational Approach

Über Demystifying the Brain

This book presents an emerging new vision of the brain, which is essentially expressed in computational terms, for non-experts. As such, it presents the fundamental concepts of neuroscience in simple language, without overwhelming non-biologists with excessive biological jargon. In addition, the book presents a novel computational perspective on the brain for biologists, without resorting to complex mathematical equations.It addresses a comprehensive range of topics, starting with the history of neuroscience, the function of the individual neuron, the various kinds of neural network models that can explain diverse neural phenomena, sensory-motor function, language, emotions, and concluding with the latest theories on consciousness. The book offers readers a panoramic introduction to the "new brain" and a valuable resource for interdisciplinary researchers looking to gatecrash the world of neuroscience.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9789811333194
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 378
  • Veröffentlicht:
  • 18. Dezember 2018
  • Ausgabe:
  • 12019
  • Gewicht:
  • 758 g.
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Beschreibung von Demystifying the Brain

This book presents an emerging new vision of the brain, which is essentially expressed in computational terms, for non-experts. As such, it presents the fundamental concepts of neuroscience in simple language, without overwhelming non-biologists with excessive biological jargon. In addition, the book presents a novel computational perspective on the brain for biologists, without resorting to complex mathematical equations.It addresses a comprehensive range of topics, starting with the history of neuroscience, the function of the individual neuron, the various kinds of neural network models that can explain diverse neural phenomena, sensory-motor function, language, emotions, and concluding with the latest theories on consciousness. The book offers readers a panoramic introduction to the "new brain" and a valuable resource for interdisciplinary researchers looking to gatecrash the world of neuroscience.

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