Research Catalog

Details

Description

1. xxiii, 562 p. : ill.; 25 cm.

Summary

1. 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.
2. 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.
3. 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.

Series statement

1. Computational neuroscience

Subject

1. Action Potentials
2. Nerve Net
3. Neural Conduction
4. Neural networks (Neurobiology)
5. Neural conduction
6. Action potentials (Electrophysiology)
7. Computational neuroscience
8. Neurons

Owning institution

1. Columbia University Libraries