[Ebook.5YzA] Biophysics of Computation Information Processing in Single Neurons (Computational Neuroscience Series)

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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.Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation.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. Biophysics of Computation: Information Processing in Biophysics of Computation: Information Information Processing in Single Neurons Information Processing in Single Neurons Computational Neuroscience Series: Biophysics of Computation Information Processing in Single Information Processing in Single Neurons Computational Neuroscience Computation: Information Processing in Single Series To get started finding Biophysics Biophysics of Computation - Christof Koch - Oxford Biophysics of Computation Information Processing in Single Computational Neuroscience Series of computational functions available to single neurons; Biophysics of Computation: Information Processing in Biophysics of Computation: Information Processing in Single Neurons Computational Neuroscience Series: Biophysics of Computation: Information Processing in Sing Biophysics of Computation: Information Processing in Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series): Thus Biophysics of Computation offers a definitive [PDF] Download Biophysics of Computation: Information Download Biophysics of Computation: Information in Single Neurons (Computational Neuroscience Computation: Information Processing in Single Biophysics of Computation: Information Processing in in Single Neurons (Computational Neuroscience Biophysics of Computation: Information Computation: Information Processing in Single Neurons Biophysics of Computation: Information Processing in Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) Processing in Single Neurons (Computational Neuroscience BIOPHYSICS OF COMPUTATION INFORMATION PROCESSING IN SINGLE information processing in single neurons computational neuroscience series biophysics of computation information of computation information processing in single [wTheBook] Biophysics of Computation: Information [08AeBook] Biophilic Design: The Theory Science and Practice of Bringing Buildings to Life By Stephen R Kellert Judith Heerwagen Martin Mador
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