Neural Correlations And Population Coding
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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.
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.
Correlated Neuronal Activity And Its Relationship To Coding Dynamics And Network Architecture
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Author : Tatjana Tchumatchenko
language : en
Publisher: Frontiers E-books
Release Date : 2014-12-03
Correlated Neuronal Activity And Its Relationship To Coding Dynamics And Network Architecture written by Tatjana Tchumatchenko 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 2014-12-03 with Brain function categories.
Correlated activity in populations of neurons has been observed in many brain regions and plays a central role in cortical coding, attention, and network dynamics. Accurately quantifying neuronal correlations presents several difficulties. For example, despite recent advances in multicellular recording techniques, the number of neurons from which spiking activity can be simultaneously recorded remains orders magnitude smaller than the size of local networks. In addition, there is a lack of consensus on the distribution of pairwise spike cross correlations obtained in extracellular multi-unit recordings. These challenges highlight the need for theoretical and computational approaches to understand how correlations emerge and to decipher their functional role in the brain.
Neural Correlations In An Electrosensory Neuron Population
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Author : Teerawat Monnor
language : en
Publisher:
Release Date : 2016
Neural Correlations In An Electrosensory Neuron Population written by Teerawat Monnor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
"The collective activities of neural population are known to be essential for neural coding. With aggregated activities of roughly 100 billion neurons, the human brain is capable in coding complex sensory signals. However, just combining activities of individual neurons is not enough. Instead, it has been shown that interactions within the population play a significant role in neural coding. Therefore, in order to understand how neurons code information, it is essential to understand the characteristics and contributions of such interactions. One way to do so is through investigating the relationships of neural activities which are known as neural correlations. Correlations have been ubiquitously shown in various brain areas. However, magnitudes and contributions of correlations alter across studies. These variations show that correlations can be highly dynamic and leads to serious controversy. In this thesis, I illustrated dynamics and characterized influences of correlations on information coding in a well-characterized neural circuit called the electrosensory lateral line lobe (ELL) of the weakly electric fish Apteronotus leptorhynchus across distinct perceptual contexts, i.e. local (for prey detection) and global (for communication) stimulation. The study was divided into two parts: (i) characterizations of the correlations in neural responses measured by multi-array electrodes and (ii) simulations of correlations in ELL neurons. For the characterization, spike count correlation (SCC) and cross-correlogram (CCG) were implemented to quantify neural correlations, and information theory was employed to examine the contribution of correlation dynamics on information coding. For the simulations, the leaky integrate-and-fire (LIF) model was used to simulate the activity of ELL neurons. In the first part, using the isolated responses of six ELL neurons, I confirmed previous studies by showing that same-type and different-type neuron population were positively and negatively correlated, respectively. Moreover, I found that there were variations in correlation strengths presumably resulted by population heterogeneity. With respect to stimulus frequency, population averages of SCCs and CCGs showed that correlations were low at extremely low and high frequency ranges. In the second part, correlated neural activities in local and global stimulation were constructed at a low stimulus frequency range (
Analysis Of Parallel Spike Trains
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Author : Sonja Grün
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-18
Analysis Of Parallel Spike Trains written by Sonja Grün 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 2010-08-18 with Medical categories.
Solid and transparent data analysis is the most important basis for reliable interpretation of experiments. The technique of parallel spike train recordings using multi-electrode arrangements has been available for many decades now, but only recently gained wide popularity among electro physiologists. Many traditional analysis methods are based on firing rates obtained by trial-averaging, and some of the assumptions for such procedures to work can be ignored without serious consequences. The situation is different for correlation analysis, the result of which may be considerably distorted if certain critical assumptions are violated. The focus of this book is on concepts and methods of correlation analysis (synchrony, patterns, rate covariance), combined with a solid introduction into approaches for single spike trains, which represent the basis of correlations analysis. The book also emphasizes pitfalls and potential wrong interpretations of data due to violations of critical assumptions.
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/)
Exploration Of Cortical Function
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Author : M. Stetter
language : en
Publisher: Springer
Release Date : 2002-01-31
Exploration Of Cortical Function written by M. Stetter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-31 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.
Effects Of Neuronal Correlations On Population Decoding And Encoding Models
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Author : Ami M. Patel
language : en
Publisher:
Release Date : 2013
Effects Of Neuronal Correlations On Population Decoding And Encoding Models written by Ami M. Patel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
In this thesis, we analyze the effect of the correlations in neural activity on the information that is encoded in and can be decoded from a population of neurons. Various noise models describing these correlations are considered - in particular, we use models that take into account the pairwise correlations and other, simpler models that assume shared global additive and/or multiplicative noise factors. The performance of these models on firing rate prediction (encoding) and population decoding are studied. Our analyses show a significant beneficial effect of pairwise correlations on encoding models, with much of this benefit being explained by the global noise models. However, the effects of correlations on decoding vary among our datasets, providing an empirical justification to the theoretical results suggesting correlations can be either helpful or harmful to decoding.
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.
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.