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Author: Roland Baddeley
Publisher: Cambridge University Press
ISBN: 0521631971
Category : Computers
Languages : en
Pages : 362
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Book Description
This book deals with information theory, a new and expanding area of neuroscience which provides a framework for understanding neuronal processing.
Author: Roland Baddeley
Publisher: Cambridge University Press
ISBN: 0521631971
Category : Computers
Languages : en
Pages : 362
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Book Description
This book deals with information theory, a new and expanding area of neuroscience which provides a framework for understanding neuronal processing.
Author: Stefano Panzeri
Publisher: MDPI
ISBN: 3038976644
Category : Mathematics
Languages : en
Pages : 280
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Book Description
As the ultimate information processing device, the brain naturally lends itself to being studied with information theory. The application of information theory to neuroscience has spurred the development of principled theories of brain function, and has led to advances in the study of consciousness, as well as to the development of analytical techniques to crack the neural code—that is, to unveil the language used by neurons to encode and process information. In particular, advances in experimental techniques enabling the precise recording and manipulation of neural activity on a large scale now enable for the first time the precise formulation and the quantitative testing of hypotheses about how the brain encodes and transmits the information used for specific functions across areas. This Special Issue presents twelve original contributions on novel approaches in neuroscience using information theory, and on the development of new information theoretic results inspired by problems in neuroscience.
Author: Donald W PFAFF
Publisher: Harvard University Press
ISBN: 0674042107
Category : Medical
Languages : en
Pages : 216
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Book Description
Arousal is fundamental to all cognition. It is intuitively obvious, absolutely necessary, but what exactly is it? In Brain Arousal and Information Theory, Donald Pfaff presents a daring perspective on this long-standing puzzle. Pfaff argues that, beneath our mental functions and emotional dispositions, a primitive neuronal system governs arousal. Employing the simple but powerful framework of information theory, Pfaff revolutionizes our understanding of arousal systems in the brain. Starting with a review of the neuroanatomical, neurophysiological, and neurochemical components of arousal, Pfaff asks us to look at the gene networks and neural pathways underlying the brain's arousal systems much as a design engineer would contemplate information systems. This allows Pfaff to postulate that there is a bilaterally symmetric, bipolar system universal among mammals that readies the animal or the human being to respond to stimuli, initiate voluntary locomotion, and react to emotional challenges. Applying his hypothesis to heightened states of arousal--sex and fear--Pfaff shows us how his theory opens new scientific approaches to understanding the structure of brain arousal. A major synthesis of disparate data by a preeminent neuroscientist, Brain Arousal and Information Theory challenges current thinking about cognition and behavior. Whether you subscribe to Pfaff's theory or not, this book will stimulate debate about the nature of arousal itself.
Author: Donald MacCrimmon MacKay
Publisher: MIT Press
ISBN: 026263032X
Category : Computers
Languages : en
Pages : 207
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Book Description
A collection of selected papers written by the information theorist and "brain physicist," most of which were presented to various scientific conferences in the 1950s and 1960s. Most of this collection concerns MacKay's abiding preoccupation with information as represented and utilized in the brain and exchanged between human beings, rather than as formalized in logical patterns of elementary propositions.
Author: James V Stone
Publisher:
ISBN: 9780993367922
Category : Computers
Languages : en
Pages : 214
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Book Description
In this richly illustrated book, it is shown how Shannon's mathematical theory of information defines absolute limits on neural efficiency; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style this is an ideal introduction to cutting-edge research in neural information theory.
Author: Wai Tsang
Publisher: Lulu.com
ISBN: 1326753223
Category :
Languages : en
Pages : 532
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Book Description
The Fractal Brain Theory, or the Symmetry, Self Similarity and Recursivity Theory of Brain and Mind, is a Revolutionary new way of looking at the nature of intelligence and also genomics. It is the key to a powerful and new kind of Recursively Self Modifying Artificial Intelligence. Wai H. Tsang presents an exciting new synthesis of all things psychological, linguistic, neuroscientific, genomic, evolutionary, informatic, computational, complex and fractal. Dealing with the most central puzzles of mind science and AI, and weaving in some of the most fundamental concepts in mathematics such as symmetry, geometry, functions, discrete maths and formal axiomatic systems. This book presents nothing less than a seamless unified theory of Brain, Mind, Artificial Intelligence, Functional Genomics, Ontogenesis and Evolution. Also covering topics such as the quest for the Perfect & Universal Language, Recursively Self Modifying Algorithms, Super Intelligence & Technological Singularity.
Author: Michael A. Arbib
Publisher: MIT Press
ISBN: 0262011972
Category : Neural circuitry
Languages : en
Pages : 1328
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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: Hermann Haken
Publisher: Springer
ISBN: 3319111701
Category : Technology & Engineering
Languages : en
Pages : 90
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Book Description
This monograph demonstrates the interplay between Shannon information and semantic information in cognition. It shows that Shannon’s information acts as driving force for the formation of semantic information; and vice versa, namely, that semantic information participates in the formation of Shannonian information. The authors show that in cognition, Shannonian and semantic information are interrelated as two aspects of a cognitive process termed as information adaptation. In the latter the mind/brain adapts to the environment by the deflating and/or inflating of the information conveyed by the environment. In the process of information adaptation, quantitative variations in Shannon’s information entail different meanings while different meanings affect the quantity of information. The book illustrates the above conceptually and mathematically by reference to three cognitive processes: pattern recognition, face learning and the recognition of a moving object.
Author: Yi Zeng
Publisher: Springer
ISBN: 3319707728
Category : Computers
Languages : en
Pages : 337
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Book Description
This book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2017, held in Beijing, China, in November 2017. The 31 revised full papers were carefully reviewed and selected from 64 submissions. BI addresses the computational, cognitive, physiological, biological, physical,ecological and social perspectives of brain informatics, as well as topics related tomental health and well-being.
Author: Michael Wibral
Publisher: Springer
ISBN: 3642544746
Category : Technology & Engineering
Languages : en
Pages : 225
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Book Description
Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic transfer of information continuously runs on top of the brain's slowly-changing anatomical connectivity. Measuring such transfer is crucial to understanding how flexible information routing and processing give rise to higher cognitive function. Directed Information Measures in Neuroscience reviews recent developments of concepts and tools for measuring information transfer, their application to neurophysiological recordings and analysis of interactions. Written by the most active researchers in the field the book discusses the state of the art, future prospects and challenges on the way to an efficient assessment of neuronal information transfer. Highlights include the theoretical quantification and practical estimation of information transfer, description of transfer locally in space and time, multivariate directed measures, information decomposition among a set of stimulus/responses variables and the relation between interventional and observational causality. Applications to neural data sets and pointers to open source software highlight the usefulness of these measures in experimental neuroscience. With state-of-the-art mathematical developments, computational techniques and applications to real data sets, this book will be of benefit to all graduate students and researchers interested in detecting and understanding the information transfer between components of complex systems.
