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Mathematical Aspects of Hodgkin-Huxley Neural Theory

this material and provides a detailed discussion of the Hodgkin-Huxley model for nerve conduction, which forms the cornerstone of this body;

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Cambridge Studies in Mathematical Biology Introduction to Theoretical Neurobiology

the seminal Hodgkin-Huxley equations and gives methods for their solution in the space-clamped and non-space-clamped cases. The remainder;

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Cambridge Studies in Mathematical Biology Introduction to Theoretical Neurobiology

the seminal Hodgkin-Huxley equations and gives methods for their solution in the space-clamped and non-space-clamped cases. The remainder;

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Cambridge Studies in Mathematical Biology

this material and provides a detailed discussion of the Hodgkin-Huxley model for nerve conduction, which forms the cornerstone of this body;

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Introduction to Theoretical Neurobiology

the seminal Hodgkin-Huxley equations and gives methods for their solution in the space-clamped and non-space-clamped cases. The remainder;

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Mathematical Aspects of Spin Glasses and Neural Networks

Aimed at graduates and potential researchers, this is a comprehensive introduction to the mathematical aspects of spin glasses and neural;

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Mathematical Aspects of Spin Glasses and Neural Networks

Aimed at graduates and potential researchers, this is a comprehensive introduction to the mathematical aspects of spin glasses and neural;

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Computational Models of Brain and Behavior

methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models;

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Neuronal Dynamics

conductance-based model of Hodgkin-Huxley, its simplified version of FitzHugh-Nagumo and nonlinear integrate-and-fire models are discussed. Moreover;

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Dynamics of Neural Networks

This book treats essentials from neurophysiology (Hodgkin-Huxley equations, synaptic transmission, prototype networks of neurons) and;

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Mathematical Perspectives on Neural Networks

Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests;

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Mathematical Perspectives on Neural Networks

Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests;

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Neuronal Dynamics

theoretical neuroscience. It covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the;

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Neuronal Dynamics

theoretical neuroscience. It covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the;

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Mathematical Aspects of Logic Programming Semantics

methods from traditional order theory to include nonconventional methods from mathematical analysis that depend on topology, domain theory;

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Neural Networks Theory

This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory;

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Differential Equations and Applications: Recent Advances

Systems, Mathematical Modelling and Qualitative Theory. Different aspects such as Existence, Stability, Controllability, Viscosity and Numerical;

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Fuzzy Set Theory and Advanced Mathematical Applications

coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control. The;

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Statistical Mechanics of Neural Networks

chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have;

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Information-Theoretic Aspects of Neural Networks

-theoretic transfer function of the neural cellular units statistical mechanics, neural networks, and information theory semiotic framework;

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London Mathematical Society Lecture Note Series

theory. Included are contributions from many leading international figures in this area which encompasses the main branches of analytic number;

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Weakly Connected Neural Networks

mathematical neuroscience, addressing bifurcations in neuron and brain dynamics, synaptic organisations of the brain, and the nature of neural codes;

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The World of Mathematics, Vol. 4

Vol. 4 of a monumental 4-volume set covers such topics as mathematical machines, mathematics in warfare, a mathematical theory of art;

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Principal Component Neural Networks

of the mathematical, algorithmic, application and architectural aspects of principal component neural networks. Using a unified formulation, the;

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Theory of neural information processing systems

Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural;

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Theory of Neural Information Processing Systems

Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural;

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Recent Progress in Mathematical Psychology

spaces, applications of neural net ideas to concept learning, developments in the theory of parallel processing models of response time, new;

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