neuronal dynamics

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Neuronal Dynamics
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Publisher : Cambridge University Press
Release Date :
ISBN 10 : 1107060834
Pages : 590 pages
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This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Neuronal Dynamics

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

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Neuronal Dynamics

What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical

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Neuronal Dynamics

What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical

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An Introduction to Modeling Neuronal Dynamics

This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of mathematics, the natural sciences, engineering, or computer science. An undergraduate introduction to differential equations is more than enough mathematical background. Only a slim, high school-level background

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Spiking Neuron Models

This is an introduction to spiking neurons for advanced undergraduate or graduate students. It can be used with courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. No

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Neural Dynamics of Neurological Disease

The emerging understanding of age-related neurological disorders suggests that notions of a single causal gene/toxin being responsible is likely incorrect. Neurological disorders probably arise due to a unique intersection of multiple genetic and toxic factors, combined with additional contributions of age, stage of development, immune system actions, and more.

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Introduction to Neural Dynamics and Signal Transmission Delay

In the design of a neural network, either for biological modeling, cognitive simulation, numerical computation or engineering applications, it is important to investigate the network's computational performance which is usually described by the long-term behaviors, called dynamics, of the model equations. The purpose of this book is to give an

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Dynamical Systems in Neuroscience

In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want

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Tutorials in Mathematical Biosciences I

This volume introduces some basic theories on computational neuroscience. Chapter 1 is a brief introduction to neurons, tailored to the subsequent chapters. Chapter 2 is a self-contained introduction to dynamical systems and bifurcation theory, oriented towards neuronal dynamics. The theory is illustrated with a model of Parkinson's disease. Chapter 3 reviews the theory

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Neural Masses and Fields  Modelling the Dynamics of Brain Activity

Biophysical modelling of brain activity has a long and illustrious history and has recently profited from technological advances that furnish neuroimaging data at an unprecedented spatiotemporal resolution. Neuronal modelling is a very active area of research, with applications ranging from the characterization of neurobiological and cognitive processes, to constructing artificial

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Neurodynamics  An Exploration in Mesoscopic Brain Dynamics

Cortical evoked potentials are of interest primarily as tests of changing neuronal excitabilities accompanying normal brain function. The first three steps in the anal ysis of these complex waveforms are proper placement of electrodes for recording, the proper choice of electrical or sensory stimulus parameters, and the establish ment of

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Neural Organization

In Neural Organization, Arbib, Erdi, and Szentagothai integrate structural, functional, and dynamical approaches to the interaction of brain models and neurobiologcal experiments. Both structure-based "bottom-up" and function- based "top-down" models offer coherent concepts by which to evaluate the experimental data. The goal of this book is to point out the

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Neuronal Adaptation Theory

Download or read online Neuronal Adaptation Theory written by Hans-Otto Carmesin, published by Peter Lang Pub Incorporated which was released on 1996. Get Neuronal Adaptation Theory Books now! Available in PDF, ePub and Kindle.

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Neuronal Dynamics

Download or read online Neuronal Dynamics written by Anonim, published by Unknown which was released on 2019. Get Neuronal Dynamics Books now! Available in PDF, ePub and Kindle.

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