Visual Population Codes
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Visual Population Codes
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Author : Gabriel Kreiman
language : en
Publisher:
Release Date : 2012
Visual Population Codes written by Gabriel Kreiman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Brain categories.
Visual Population Codes
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Author : Nikolaus Kriegeskorte
language : en
Publisher: MIT Press
Release Date : 2012
Visual Population Codes written by Nikolaus Kriegeskorte and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematics categories.
How visual content is represented in neuronal population codes and how to analyze such codes with multivariate techniques. Vision is a massively parallel computational process, in which the retinal image is transformed over a sequence of stages so as to emphasize behaviorally relevant information (such as object category and identity) and deemphasize other information (such as viewpoint and lighting). The processes behind vision operate by concurrent computation and message passing among neurons within a visual area and between different areas. The theoretical concept of "population code" encapsulates the idea that visual content is represented at each stage by the pattern of activity across the local population of neurons. Understanding visual population codes ultimately requires multichannel measurement and multivariate analysis of activity patterns. Over the past decade, the multivariate approach has gained significant momentum in vision research. Functional imaging and cell recording measure brain activity in fundamentally different ways, but they now use similar theoretical concepts and mathematical tools in their modeling and analyses. With a focus on the ventral processing stream thought to underlie object recognition, this book presents recent advances in our understanding of visual population codes, novel multivariate pattern-information analysis techniques, and the beginnings of a unified perspective for cell recording and functional imaging. It serves as an introduction, overview, and reference for scientists and students across disciplines who are interested in human and primate vision and, more generally, in understanding how the brain represents and processes information.
Principles Of Neural Coding
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Author : Rodrigo Quian Quiroga
language : en
Publisher: CRC Press
Release Date : 2013-05-06
Principles Of Neural Coding written by Rodrigo Quian Quiroga and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-06 with Medical categories.
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 b
Codes And Evolution
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Author : Marcello Barbieri
language : en
Publisher: Springer Nature
Release Date : 2024-05-09
Codes And Evolution written by Marcello Barbieri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-09 with Literary Criticism categories.
This text builds upon the over 1500 papers published in peer-reviewed journals revealing that there are more than 200 biological codes in living systems. The author claims this experimental fact is bound to change biology forever. This book shows how this very discovery reveals that coding is a new mechanism of life, just as the discovery of electromagnetism revealed the existence of a new physical force in the universe. The existence of many biological codes, furthermore, Barbieri argues, is one of those experimental facts that have extraordinary theoretical consequences. It implies that coding is not only a mechanism that constantly operates in all living systems, but also a mechanism of evolution, more precisely a mechanism that gave origin to the absolute novelties of the history of life. This amounts to saying that evolution took place by two distinct mechanisms, by natural selection and by natural conventions, two mechanisms that are fundamentally different because natural selection is the result of copying and deals with information whereas natural conventions are the result of coding and deal with meaning. This volume appeals to students and researchers working in the fields of semiotics, philosophy, biology and mathematics.
Statistical Analysis Of Multi Cell Recordings Linking Population Coding Models To Experimental Data
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Author : Matthias Bethge
language : en
Publisher: Frontiers E-books
Release Date : 2012-01-01
Statistical Analysis Of Multi Cell Recordings Linking Population Coding Models To Experimental Data written by Matthias Bethge and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-01 with categories.
Modern recording techniques such as multi-electrode arrays and 2-photon imaging are capable of simultaneously monitoring the activity of large neuronal ensembles at single cell resolution. This makes it possible to study the dynamics of neural populations of considerable size, and to gain insights into their computations and functional organization. The key challenge with multi-electrode recordings is their high-dimensional nature. Understanding this kind of data requires powerful statistical techniques for capturing the structure of the neural population responses and their relation with external stimuli or behavioral observations. Contributions to this Research Topic should advance statistical modeling of neural populations. Questions of particular interest include: 1. What classes of statistical methods are most useful for modeling population activity? 2. What are the main limitations of current approaches, and what can be done to overcome them? 3. How can statistical methods be used to empirically test existing models of (probabilistic) population coding? 4. What role can statistical methods play in formulating novel hypotheses about the principles of information processing in neural populations? This Research Topic is connected to a one day workshop at the Computational Neuroscience Meeting 2009 in Berlin (http://www.cnsorg.org/2009/workshops.shtml and http://www.kyb.tuebingen.mpg.de/bethge/workshops/cns2009/)
Dynamic Neuroscience
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Author : Zhe Chen
language : en
Publisher: Springer
Release Date : 2017-12-27
Dynamic Neuroscience written by Zhe Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-27 with Technology & Engineering categories.
This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers.
Information Processing By Neuronal Populations
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Author : Christian Holscher
language : en
Publisher: Cambridge University Press
Release Date : 2012-10-25
Information Processing By Neuronal Populations written by Christian Holscher and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-25 with Medical categories.
Bringing together a multitude of data from different backgrounds, this book answers many questions including how networks are formed and separated and associated with other networks. It strives to cover the range of single cell activity analysis to observation of network activity and to brain area activity and cognitive processes.
From Neuron To Cognition Via Computational Neuroscience
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Author : Michael A. Arbib
language : en
Publisher: MIT Press
Release Date : 2016-11-04
From Neuron To Cognition Via Computational Neuroscience written by Michael A. Arbib and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-04 with Science categories.
A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille
Essentials Of Cognitive Neuroscience
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Author : Bradley R. Postle
language : en
Publisher: John Wiley & Sons
Release Date : 2020-05-27
Essentials Of Cognitive Neuroscience written by Bradley R. Postle and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-27 with Psychology categories.
Essentials of Cognitive Neuroscience introduces and explicates key principles and concepts in cognitive neuroscience in such a way that the reader will be equipped to critically evaluate the ever-growing body of findings that the field is generating. For some students this knowledge will be needed for subsequent formal study, and for all readers it will be needed to evaluate and interpret reports about cognitive neuroscience research that make their way daily into the news media and popular culture. The book seeks to do so in a style that will give the student a sense of what it's like to be a cognitive neuroscientist: when confronted with a problem, how does one proceed? How does one read and interpret research that's outside of one's sub-area of specialization? How do two scientists advancing mutually incompatible models interrelate? Most importantly, what does it feel like to partake in the wonder and excitement of this most dynamic and fundamental of sciences?