Principles Of Neural Coding

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Principles of Neural Coding

Author : Rodrigo Quian Quiroga,Stefano Panzeri
Publisher : CRC Press
Page : 643 pages
File Size : 41,9 Mb
Release : 2013-05-06
Category : Medical
ISBN : 9781439853306

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Principles of Neural Coding by Rodrigo Quian Quiroga,Stefano Panzeri Pdf

Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries and marvels of the mind has prompted a prominent team of experts in the field to put their heads together and fire up a book on the subject. Simply titled Principles of Neural Coding, this book covers the complexities of this discipline. It centers on some of the major developments in this area and presents a complete assessment of how neurons in the brain encode information. The book collaborators contribute various chapters that describe results in different systems (visual, auditory, somatosensory perception, etc.) and different species (monkeys, rats, humans, etc). Concentrating on the recording and analysis of the firing of single and multiple neurons, and the analysis and recording of other integrative measures of network activity and network states—such as local field potentials or current source densities—is the basis of the introductory chapters. Provides a comprehensive and interdisciplinary approach Describes topics of interest to a wide range of researchers The book then moves forward with the description of the principles of neural coding for different functions and in different species and concludes with theoretical and modeling works describing how information processing functions are implemented. The text not only contains the most important experimental findings, but gives an overview of the main methodological aspects for studying neural coding. In addition, the book describes alternative approaches based on simulations with neural networks and in silico modeling in this highly interdisciplinary topic. It can serve as an important reference to students and professionals.

Neuronal Dynamics

Author : Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
Publisher : Cambridge University Press
Page : 591 pages
File Size : 52,5 Mb
Release : 2014-07-24
Category : Computers
ISBN : 9781107060838

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Neuronal Dynamics by Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski Pdf

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

Spikes

Author : Fred Rieke
Publisher : MIT Press (MA)
Page : 418 pages
File Size : 53,7 Mb
Release : 1997
Category : Action potentials (Electrophysiology)
ISBN : 0262181746

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Spikes by Fred Rieke Pdf

Intended for neurobiologists with an interest in mathematical analysis of neural data as well as the growing number of physicists and mathematicians interested in information processing by "real" nervous systems, Spikes provides a self-contained review of relevant concepts in information theory and statistical decision theory.

Bayesian Brain

Author : Kenji Doya,Shin Ishii,Alexandre Pouget
Publisher : MIT Press
Page : 341 pages
File Size : 46,7 Mb
Release : 2007
Category : Bayesian statistical decision theory
ISBN : 9780262042383

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Bayesian Brain by Kenji Doya,Shin Ishii,Alexandre Pouget Pdf

Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.

Cerebral Cortex

Author : Edmund T. Rolls
Publisher : Oxford University Press
Page : 979 pages
File Size : 53,8 Mb
Release : 2016
Category : Cerebral cortex
ISBN : 9780198784852

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Cerebral Cortex by Edmund T. Rolls Pdf

This book provides insights into the principles of operation of the cerebral cortex. These principles are key to understanding how we, as humans, function. The book includes Appendices on the operation of many of the neuronal networks described in the book, together with simulation software written in Matlab.

Principles of Neural Information Theory

Author : James V Stone
Publisher : Unknown
Page : 214 pages
File Size : 52,5 Mb
Release : 2018-05-15
Category : Computers
ISBN : 0993367925

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Principles of Neural Information Theory by James V Stone Pdf

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.

Temporal Coding in the Brain

Author : G. Buzsaki,R. Llinas,W. Singer,A. Berthoz,Y. Christen
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 52,8 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9783642851483

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Temporal Coding in the Brain by G. Buzsaki,R. Llinas,W. Singer,A. Berthoz,Y. Christen Pdf

Temporal coding in the brain documents a revolution now occurring in the neurosciences. How does parallel processing of information bind together the complex nature of the outer and our inner worlds? Do intrinsic oscillations and transient cooperative states of neurons represent the physiological basis of cognitive and motor functions of the brain? Some answers to these challenging issues are provided in this book by leading world experts of brain function. A common denominator of the works presented in this volume is the nature and mechanisms of neuronal cooperation in the temporal domain. The topics range from simple organisms to the human brain. The volume is intended for investigators and graduate students in neurophysiology, cognitive neuroscience, neural computation and neurology.

The Oscillatory Nature of Language

Author : Elliot Murphy
Publisher : Cambridge University Press
Page : 337 pages
File Size : 44,8 Mb
Release : 2020-11-05
Category : Language Arts & Disciplines
ISBN : 9781108836319

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The Oscillatory Nature of Language by Elliot Murphy Pdf

Develops a theory of how language is processed in the brain and provides a state-of-the-art review of current neuroscientific debates.

Neural Engineering

Author : Chris Eliasmith,Charles H. Anderson
Publisher : MIT Press
Page : 384 pages
File Size : 51,9 Mb
Release : 2003
Category : Bioinformatics
ISBN : 0262550601

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Neural Engineering by Chris Eliasmith,Charles H. Anderson Pdf

A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.

Principles of Neural Science

Author : Eric R. Kandel,John D. Koester,Sarah H. Mack,Steven A. Siegelbaum
Publisher : Unknown
Page : 1646 pages
File Size : 55,8 Mb
Release : 2021
Category : Neurology
ISBN : 1264267681

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Principles of Neural Science by Eric R. Kandel,John D. Koester,Sarah H. Mack,Steven A. Siegelbaum Pdf

The goal of this sixth edition of Principles of Neural Science is to provide readers with insight into how genes, molecules, neurons, and the circuits they form give rise to behavior. With the exponential growth in neuroscience research over the 40 years since the first edition of this book, an increasing challenge is to provide a comprehensive overview of the field while remaining true to the original goal of the first edition, which is to elevate imparting basic principles over detailed encyclopedic knowledge.

An Introductory Course in Computational Neuroscience

Author : Paul Miller
Publisher : MIT Press
Page : 405 pages
File Size : 41,8 Mb
Release : 2018-10-02
Category : Science
ISBN : 9780262038256

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An Introductory Course in Computational Neuroscience by Paul Miller Pdf

A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons cooperate in a circuit. The book demonstrates through simulated models how oscillations, multistability, post-stimulus rebounds, and chaos can arise within either single neurons or circuits, and it explores their roles in the brain. The book first presents essential background in neuroscience, physics, mathematics, and Matlab, with explanations illustrated by many example problems. Subsequent chapters cover the neuron and spike production; single spike trains and the underlying cognitive processes; conductance-based models; the simulation of synaptic connections; firing-rate models of large-scale circuit operation; dynamical systems and their components; synaptic plasticity; and techniques for analysis of neuron population datasets, including principal components analysis, hidden Markov modeling, and Bayesian decoding. Accessible to undergraduates in life sciences with limited background in mathematics and computer coding, the book can be used in a “flipped” or “inverted” teaching approach, with class time devoted to hands-on work on the computer tutorials. It can also be a resource for graduate students in the life sciences who wish to gain computing skills and a deeper knowledge of neural function and neural circuits.

Principles of Speech Coding

Author : Tokunbo Ogunfunmi,Madihally Narasimha
Publisher : CRC Press
Page : 381 pages
File Size : 52,9 Mb
Release : 2010-04-29
Category : Computers
ISBN : 9781439882542

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Principles of Speech Coding by Tokunbo Ogunfunmi,Madihally Narasimha Pdf

It is becoming increasingly apparent that all forms of communication-including voice-will be transmitted through packet-switched networks based on the Internet Protocol (IP). Therefore, the design of modern devices that rely on speech interfaces, such as cell phones and PDAs, requires a complete and up-to-date understanding of the basics of speech

Information Theory in Neuroscience

Author : Stefano Panzeri,Eugenio Piasini
Publisher : MDPI
Page : 280 pages
File Size : 52,9 Mb
Release : 2019-03-15
Category : Mathematics
ISBN : 9783038976646

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Information Theory in Neuroscience by Stefano Panzeri,Eugenio Piasini Pdf

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.

The Neurobiology of Olfaction

Author : Anna Menini
Publisher : CRC Press
Page : 448 pages
File Size : 53,6 Mb
Release : 2009-11-24
Category : Science
ISBN : 1420071998

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The Neurobiology of Olfaction by Anna Menini Pdf

Comprehensive Overview of Advances in Olfaction The common belief is that human smell perception is much reduced compared with other mammals, so that whatever abilities are uncovered and investigated in animal research would have little significance for humans. However, new evidence from a variety of sources indicates this traditional view is likely overly simplistic. The Neurobiology of Olfaction provides a thorough analysis of the state-of-the-science in olfactory knowledge and research, reflecting the growing interest in the field. Authors from some of the most respected laboratories in the world explore various aspects of olfaction, including genetics, behavior, olfactory systems, odorant receptors, odor coding, and cortical activity. Until recently, almost all animal research in olfaction was carried out on orthonasal olfaction (inhalation). It is only in recent years, especially in human flavor research, that evidence has begun to be obtained regarding the importance of retronasal olfaction (exhalation). These studies are beginning to demonstrate that retronasal smell plays a large role to play in human behavior. Highlighting common principles among various species – including humans, insects, Xenopus laevis (African frog), and Caenorhabditis elegans (nematodes) – this highly interdisciplinary book contains chapters about the most recent discoveries in odor coding from the olfactory epithelium to cortical centers. It also covers neurogenesis in the olfactory epithelium and olfactory bulb. Each subject-specific chapter is written by a top researcher in the field and provides an extensive list of reviews and original articles for students and scientists interested in further readings.

Probabilistic Models of the Brain

Author : Rajesh P.N. Rao,Bruno A. Olshausen,Michael S. Lewicki
Publisher : MIT Press
Page : 348 pages
File Size : 46,9 Mb
Release : 2002-03-29
Category : Medical
ISBN : 0262264323

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Probabilistic Models of the Brain by Rajesh P.N. Rao,Bruno A. Olshausen,Michael S. Lewicki Pdf

A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fundamental question that is seldom addressed by these studies, however, is why the brain uses the types of representations it does and what evolutionary advantage, if any, these representations confer. It is difficult to address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and Bayesian inference to derive models of brain function. This book surveys some of the current probabilistic approaches to modeling and understanding brain function. Although most of the examples focus on vision, many of the models and techniques are applicable to other modalities as well. The book presents top-down computational models as well as bottom-up neurally motivated models of brain function. The topics covered include Bayesian and information-theoretic models of perception, probabilistic theories of neural coding and spike timing, computational models of lateral and cortico-cortical feedback connections, and the development of receptive field properties from natural signals.