Biophysics of computation
Subtitle: information processing in single neurons
By: Christof Koch.
Series: Computational neuroscience
Publisher: Oxford University Press
Published: 1999
Place of publication: New York
Language: eng
Number of pages: 562
Subjects: Computational neuroscience.; Neurons.; Neural networks (Neurobiology); Action potentials (Electrophysiology); Neural conduction.
Description: Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons.

The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes.

Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.
Notes: Includes bibliographical references (p. 503-552) and index.