Advances In Neural Population Coding
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Advances In Neural Population Coding
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Author : Miguel A. L. Nicolelis
language : en
Publisher:
Release Date : 2001
Advances In Neural Population Coding written by Miguel A. L. Nicolelis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Neural networks (Neurobiology) categories.
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 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.
Advances In Neural Population Coding
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Author : M.A.L. Nicolelis
language : en
Publisher: Elsevier Science
Release Date : 2001-07-18
Advances In Neural Population Coding written by M.A.L. Nicolelis and has been published by Elsevier Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-07-18 with Medical categories.
A collective research effort by scientists working in laboratories around the world, this book addresses issues covering all aspects of neural population coding. This volume, with contributions from distinguished neuroscientists, is divided into six sections containing a historical overview of the concept of neural population, introducing a series of new experimental paradigms and analytical techniques for investigating potential neural coding schemes and four sections focusing on recent advances in population coding in a broad range of areas of brain research.
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.
Exploration Of Cortical Function
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Author : M. Stetter
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Exploration Of Cortical Function written by M. Stetter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Medical categories.
Exploration of Cortical Function summarizes recent research efforts aiming at the revelation of cortical population coding and signal processing strategies. Topics include optical detection techniques of population activity in the sub-millimeter range, advanced methods for the statistical analysis of these data, and biologically inspired neuronal modeling techniques for population activities in the frameworks of optimal coding, statistical learning theory, and mean-field recurrent networks. Exploration of Cortical Function is unique in that it covers one complete branch of population-based brain research ranging from techniques for data acquisition over data analysis up to modeling techniques for the quantification of functional principles. The volume covers an area which is of great current interest to researchers working on cerebral cortex. The combination of models and image analysis techniques to examine the activity of large cohorts of neurons is especially intriguing and prone to considerable error and debate.
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/)
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.
Population Coding In Neural Networks
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Author : Maoz Shamir
language : en
Publisher:
Release Date : 2004
Population Coding In Neural Networks written by Maoz Shamir and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Neural Correlations And Population Coding
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Author : Tatjana Tchumatchenko
language : en
Publisher:
Release Date : 2010
Neural Correlations And Population Coding written by Tatjana Tchumatchenko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Advances In Neural Information Processing Systems 11
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Author : Michael S. Kearns
language : en
Publisher: MIT Press
Release Date : 1999
Advances In Neural Information Processing Systems 11 written by Michael S. Kearns and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented.