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

[Download PDF.Q7QF] Biophysics of Computation Information Processing in Single Neurons (Computational Neuroscience Series)

[Download PDF.Q7QF] 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. The Buzsaki Neuroscience Lab Lab website for the Buzsaki Lab at NYU 2014 : First row from left to right: Yuta Senzai Dion Khodagholy Brendon Watson Degree Options - Caltech Graduate Studies Office Degree Options The academic work of the Institute is organized into six divisions: Biology and Biological Engineering Chemistry and Chemical Engineering Brain - Wikipedia The brain is an organ that serves as the center of the nervous system in all vertebrate and most invertebrate animals The brain is located in the head usually close - Postdoctoral Scholarships We invite researchers for a postdoctoral position to join a research program on designing new biological computing devices The selected candidates will work with Dr Holonomic Brain Theory - Scholarpedia The Holonomic Brain Theory describes a type of process that occurs in fine fibered neural webs The process is composed of patches of local field potentials described Mental Representation (Stanford Encyclopedia of Philosophy) The notion of a mental representation is arguably in the first instance a theoretical construct of cognitive science As such it is a basic concept of the Axonal conduction delays - Scholarpedia Axonal conduction delays refer to the time required for an action potential to travel from its initiation site near the neuronal soma to the axon terminals where Research centres and groups Imperial College London Imperials impact Read case studies about how Imperial research has made a difference Computer Vision Source Code - CMU Computer Science List of software libraries and toolkits for image processing Artificial neural network - Wikipedia Neural network models in artificial intelligence are usually referred to as artificial neural networks (ANNs); these are essentially simple mathematical models
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