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Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) Pdf

Download Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) Pdf

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Book Description:

Neural network evaluation sometimes builds on the fiction that neurons are straightforward linear threshold fashions, completely neglecting the extraordinarily dynamic and complicated 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 elucidate the repertoire of computational options obtainable to single neurons. The author reveals how specific individual nerve cells can multiply, mix, or delay synaptic inputs and the best way information could be encoded in the voltage all through the membrane, in the intracellular calcium focus, or in the timing of specific individual spikes.
Key topics coated embrace the linear cable equation; cable idea as utilized to passive dendritic timber and dendritic spines; chemical and electrical synapses and strategies to cope with them from a computational degree of view; nonlinear interactions of synaptic enter in passive and vigorous dendritic timber; the Hodgkin-Huxley model of movement potential period and propagation; half space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium- and potassium-currents and their place in information processing; the place of diffusion, buffering and binding of calcium, and totally different messenger strategies in information processing and storage; short- and long-time interval fashions of synaptic plasticity; simplified fashions of single cells; stochastic options of neuronal firing; the character of the neuronal code; and unconventional fashions of sub-cellular computation.
Biophysics of Computation: Information Processing in Single Neurons serves as a very good textual content material for superior undergraduate and graduate packages in cellular biophysics, computational neuroscience, and neural networks, and may attraction to school college students and professionals in neuroscience, electrical and laptop engineering, and physics.




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