Title: Biophysics of computation
First published: 1999
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.
Subjects: Computational neuroscience, Neurons, Neural conduction, Action potentials (Electrophysiology), Neural networks (Neurobiology), Neural circuitry, Action Potentials, Nerve Net, Neurosciences informatiques, Neurones, Réseaux neuronaux (Neurobiologie), Potentiels d'action (Électrophysiologie), Conduction nerveuse, Réseaux nerveux, SOCIAL SCIENCE, Anthropology, Physical, Neurologie, Aktionspotenzial, Neuronales Netz, Nervennetz, Signaltransduktion, Konnektionismus, Biophysik, Datenverarbeitung, Nervenzelle, Informationsverarbeitung, Neurobiologie, Actiepotentialen, Neurotransmissie, Réseaux neuronaux (physiologie), Qp357.5 .k63 1999, 1999 a-598, Wl 102.5 k76b 1999, 573.8/536
LC classification: QP357.5