1# Library to Find Best eBook for Read
Author : Andreas Spiegler
Release : 2012
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Dynamics of Biologically Informed Neural Mass Models of the Brain by : Andreas Spiegler
Download or read book Dynamics of Biologically Informed Neural Mass Models of the Brain written by Andreas Spiegler. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hermann Haken
Release : 2007-12-22
Genre : Science
Kind : eBook
Book Rating : 382/5 ( reviews)
Book Synopsis Brain Dynamics by : Hermann Haken
Download or read book Brain Dynamics written by Hermann Haken. This book was released on 2007-12-22. Available in PDF, EPUB and Kindle. Book excerpt: This is an excellent introduction for graduate students and nonspecialists to the field of mathematical and computational neurosciences. The book approaches the subject via pulsed-coupled neural networks, which have at their core the lighthouse and integrate-and-fire models. These allow for highly flexible modeling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. The more advanced pulse-averaged equations are discussed.
Author : Karl Friston
Release : 2015-05-25
Genre : Differential equations
Kind : eBook
Book Rating : 272/5 ( reviews)
Book Synopsis Neural Masses and Fields: Modelling the Dynamics of Brain Activity by : Karl Friston
Download or read book Neural Masses and Fields: Modelling the Dynamics of Brain Activity written by Karl Friston. This book was released on 2015-05-25. Available in PDF, EPUB and Kindle. Book excerpt: 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 brains in silico and building brain-machine interface and neuroprosthetic devices. Biophysical modelling has always benefited from interdisciplinary interactions between different and seemingly distant fields; ranging from mathematics and engineering to linguistics and psychology. This Research Topic aims to promote such interactions by promoting papers that contribute to a deeper understanding of neural activity as measured by fMRI or electrophysiology. In general, mean field models of neural activity can be divided into two classes: neural mass and neural field models. The main difference between these classes is that field models prescribe how a quantity characterizing neural activity (such as average depolarization of a neural population) evolves over both space and time as opposed to mass models, which characterize activity over time only; by assuming that all neurons in a population are located at (approximately) the same point. This Research Topic focuses on both classes of models and considers several aspects and their relative merits that: span from synapses to the whole brain; comparisons of their predictions with EEG and MEG spectra of spontaneous brain activity; evoked responses, seizures, and fitting data - to infer brain states and map physiological parameters.
Author : Ronald MacGregor
Release : 2012-12-02
Genre : Science
Kind : eBook
Book Rating : 849/5 ( reviews)
Book Synopsis Neural and Brain Modeling by : Ronald MacGregor
Download or read book Neural and Brain Modeling written by Ronald MacGregor. This book was released on 2012-12-02. Available in PDF, EPUB and Kindle. Book excerpt: Neural and Brain Modeling reviews models used to study neural interactions. The book also discusses 54 computer programs that simulate the dynamics of neurons and neuronal networks to illustrate between unit and systemic levels of nervous system functions. The models of neural and brain operations are composed of three sections: models of generic mechanisms; models of specific neuronal systems; and models of generic operations, networks, and systems. The text discusses the computational problems related to galvanizing a neuronal population though an activity in the multifiber input system. The investigator can use a computer technique to simulate multiple interacting neuronal populations. For example, he can investigate the case of a single local region that contains two populations of neurons: namely, a parent population of excitatory cells, and a second set of inhibitory neurons. Computer simulation models predict the various dynamic activity occurring in the complicated structure and physiology of neuronal systems. Computer models can be used in "top-down" brain/mind research where the systemic, global, and emergent properties of nervous systems are generated. The book is recommended for behavioral scientists, psychiatrists, psychologists, computer programmers, students, and professors in human behavior.
Author : Karl H. Pribram
Release : 2014-04-08
Genre : Psychology
Kind : eBook
Book Rating : 949/5 ( reviews)
Book Synopsis Rethinking Neural Networks by : Karl H. Pribram
Download or read book Rethinking Neural Networks written by Karl H. Pribram. This book was released on 2014-04-08. Available in PDF, EPUB and Kindle. Book excerpt: The result of the first Appalachian Conference on neurodynamics, this volume focuses on processing in biological neural networks. How do brain processes become organized during decision making? That is, what are the neural antecedents that determine which course of action is to be pursued? Half of the contributions deal with modelling synapto-dendritic and neural ultrastructural processes; the remainder, with laboratory research findings, often cast in terms of the models. The interchanges at the conference and the ensuing publication also provide a foundation for further meetings. These will address how processes in different brain systems, coactive with the neural residues of experience and with sensory input, determine decisions.
