Form Vs. Function PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Form Vs. Function PDF full book. Access full book title Form Vs. Function by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 389
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 389
Get Book Here
Book Description
Author: Mihai Alexandru Petrovici
Publisher: Springer
ISBN: 3319395521
Category : Science
Languages : en
Pages : 394
Get Book Here
Book Description
This thesis addresses one of the most fundamental challenges for modern science: how can the brain as a network of neurons process information, how can it create and store internal models of our world, and how can it infer conclusions from ambiguous data? The author addresses these questions with the rigorous language of mathematics and theoretical physics, an approach that requires a high degree of abstraction to transfer results of wet lab biology to formal models. The thesis starts with an in-depth description of the state-of-the-art in theoretical neuroscience, which it subsequently uses as a basis to develop several new and original ideas. Throughout the text, the author connects the form and function of neuronal networks. This is done in order to achieve functional performance of biological brains by transferring their form to synthetic electronics substrates, an approach referred to as neuromorphic computing. The obvious aspect that this transfer can never be perfect but necessarily leads to performance differences is substantiated and explored in detail. The author also introduces a novel interpretation of the firing activity of neurons. He proposes a probabilistic interpretation of this activity and shows by means of formal derivations that stochastic neurons can sample from internally stored probability distributions. This is corroborated by the author’s recent findings, which confirm that biological features like the high conductance state of networks enable this mechanism. The author goes on to show that neural sampling can be implemented on synthetic neuromorphic circuits, paving the way for future applications in machine learning and cognitive computing, for example as energy-efficient implementations of deep learning networks. The thesis offers an essential resource for newcomers to the field and an inspiration for scientists working in theoretical neuroscience and the future of computing.
Author: Stefanie Czischek
Publisher: Springer Nature
ISBN: 3030527158
Category : Science
Languages : en
Pages : 205
Get Book Here
Book Description
Quantum systems with many degrees of freedom are inherently difficult to describe and simulate quantitatively. The space of possible states is, in general, exponentially large in the number of degrees of freedom such as the number of particles it contains. Standard digital high-performance computing is generally too weak to capture all the necessary details, such that alternative quantum simulation devices have been proposed as a solution. Artificial neural networks, with their high non-local connectivity between the neuron degrees of freedom, may soon gain importance in simulating static and dynamical behavior of quantum systems. Particularly promising candidates are neuromorphic realizations based on analog electronic circuits which are being developed to capture, e.g., the functioning of biologically relevant networks. In turn, such neuromorphic systems may be used to measure and control real quantum many-body systems online. This thesis lays an important foundation for the realization of quantum simulations by means of neuromorphic hardware, for using quantum physics as an input to classical neural nets and, in turn, for using network results to be fed back to quantum systems. The necessary foundations on both sides, quantum physics and artificial neural networks, are described, providing a valuable reference for researchers from these different communities who need to understand the foundations of both.
Author: André van Schaik
Publisher: Frontiers Media SA
ISBN: 2889711617
Category : Science
Languages : en
Pages : 177
Get Book Here
Book Description
Author: Mark J. Ashley
Publisher: CRC Press
ISBN: 1439858128
Category : Medical
Languages : en
Pages : 816
Get Book Here
Book Description
Traumatic Brain Injury: Rehabilitative Treatment and Case Management, Second Edition provides therapists, case managers and physicians with information about the longer-term issues faced by this population. Originally titled Traumatic Brain Injury Rehabilitation, this new edition updates the clinical information and broadens the scope of the best-s
Author: Jaime Gómez-Ramirez
Publisher: Springer Science & Business Media
ISBN: 9400777388
Category : Medical
Languages : en
Pages : 213
Get Book Here
Book Description
The purpose of the book is to advance in the understanding of brain function by defining a general framework for representation based on category theory. The idea is to bring this mathematical formalism into the domain of neural representation of physical spaces, setting the basis for a theory of mental representation, able to relate empirical findings, uniting them into a sound theoretical corpus. The innovative approach presented in the book provides a horizon of interdisciplinary collaboration that aims to set up a common agenda that synthesizes mathematical formalization and empirical procedures in a systemic way. Category theory has been successfully applied to qualitative analysis, mainly in theoretical computer science to deal with programming language semantics. Nevertheless, the potential of category theoretic tools for quantitative analysis of networks has not been tackled so far. Statistical methods to investigate graph structure typically rely on network parameters. Category theory can be seen as an abstraction of graph theory. Thus, new categorical properties can be added into network analysis and graph theoretic constructs can be accordingly extended in more fundamental basis. By generalizing networks using category theory we can address questions and elaborate answers in a more fundamental way without waiving graph theoretic tools. The vital issue is to establish a new framework for quantitative analysis of networks using the theory of categories, in which computational neuroscientists and network theorists may tackle in more efficient ways the dynamics of brain cognitive networks. The intended audience of the book is researchers who wish to explore the validity of mathematical principles in the understanding of cognitive systems. All the actors in cognitive science: philosophers, engineers, neurobiologists, cognitive psychologists, computer scientists etc. are akin to discover along its pages new unforeseen connections through the development of concepts and formal theories described in the book. Practitioners of both pure and applied mathematics e.g., network theorists, will be delighted with the mapping of abstract mathematical concepts in the terra incognita of cognition.
Author: James A. Anderson
Publisher: MIT Press
ISBN: 0262510758
Category : Computers
Languages : en
Pages : 762
Get Book Here
Book Description
In bringing together seminal articles on the foundations of research, the first volume of Neurocomputing has become an established guide to the background of concepts employed in this burgeoning field. Neurocomputing 2 collects forty-one articles covering network architecture, neurobiological computation, statistics and pattern classification, and problems and applications that suggest important directions for the evolution of neurocomputing.James A. Anderson is Professor in the Department of Cognitive and Linguistic Sciences at Brown University. Andras Pellionisz is a Research Associate Professor in the Department of Physiology and Biophysics at New York Medical Center and a Senior National Research Council Associate to NASA. Edward Rosenfeld is editor and publisher of the newsletters Intelligence and Medical Intelligence.
Author: Peter Wellstead
Publisher: Springer Science & Business Media
ISBN: 1461434114
Category : Science
Languages : en
Pages : 187
Get Book Here
Book Description
The Systems Biology of Parkinson’s Disease will be underpinned by new measurement techniques. This is particularly true of the pathology of Parkinson's Disease, where recent developments in brain imaging have offered new insights into the morphology of dopaminergic neurons that have profound implications for the special vulnerability and role of this class of neurons.
Author: Michael A. Arbib
Publisher: MIT Press
ISBN: 0262011972
Category : Neural circuitry
Languages : en
Pages : 1328
Get Book Here
Book Description
This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).
Author: Christian Smith
Publisher: University of Chicago Press
ISBN: 022623200X
Category : Social Science
Languages : en
Pages : 353
Get Book Here
Book Description
A study of what motivates humans and the activity that gives rise to human social life and social structures. In his 2010 book What Is a Person?, Christian Smith argued that sociology had for too long neglected this fundamental question. Prevailing social theories, he wrote, do not adequately “capture our deep subjective experience as persons, crucial dimensions of the richness of our own lived lives, what thinkers in previous ages might have called our ‘souls’ or ‘hearts.’” Building on Smith’s previous work, To Flourish or Destruct examines the motivations intrinsic to this subjective experience: Why do people do what they do? How can we explain the activity that gives rise to all human social life and social structures? Smith argues that our actions stem from a motivation to realize what he calls natural human goods: ends that are, by nature, constitutionally good for all human beings. He goes on to explore the ways we can and do fail to realize these ends—a failure that can result in varying gradations of evil. Rooted in critical realism and informed by work in philosophy, psychology, and other fields, Smith’s ambitious book situates the idea of personhood at the center of our attempts to understand how we might shape good human lives and societies. Praise for To Flourish or Destruct “This major work in sociology theory should be read by social scientists in all disciplines. Highly recommended.” —Choice “To Flourish or Destruct poses a powerful and important challenge to the entire discipline of sociology. Smith is becoming the anchor of a humanist renewal in sociology and although he is not alone in this movement, what makes To Flourish or Destruct different is a coherent, new, oppositional perspective that draws on critical realism to affirm both human personhood and the ever-present moral element in human affairs. Smith’s Personalism could become the banner around which a very different kind of sociology develops, one that respects the centered consciousness that is human personhood.” —Douglas Porpora, Drexel University “This book represents a major advance in sociology and more specifically within critical realism, which is gradually emerging as a full-fledged alternative in the social sciences. I am fundamentally convinced by this book.” —George Steinmetz, University of Michigan
