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Neural Correlations In An Electrosensory Neuron Population


Neural Correlations In An Electrosensory Neuron Population
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Neural Correlations In An Electrosensory Neuron Population


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 (



Synergistic Population Coding Of Natural Communication Stimuli By Hindbrain Electrosensory Neurons


Synergistic Population Coding Of Natural Communication Stimuli By Hindbrain Electrosensory Neurons
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Author : Ziqi Wang
language : en
Publisher:
Release Date : 2021

Synergistic Population Coding Of Natural Communication Stimuli By Hindbrain Electrosensory Neurons written by Ziqi Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


"Understanding how neural populations encode natural stimuli with complex spatiotemporal structure to give rise to perception remains a central problem in neuroscience. Here we investigated population coding of natural communication stimuli by hindbrain neurons within the electrosensory system of weakly electric fish Apteronotus leptorhynchus. Overall, we found that simultaneously recorded neural activities were correlated: signal but not noise correlations were variable depending on the stimulus waveform as well as the distance between neurons. Combining the neural activities using an equal-weight sum gave rise to discrimination performance between different stimulus waveforms that was limited by redundancy introduced by noise correlations. However, using an evolutionary algorithm to assign different weights to individual neurons before combining their activities (i.e., a weighted sum) gave rise to increased discrimination performance by revealing synergistic interactions between neural activities. Our results thus demonstrate that correlations between the neural activities of hindbrain electrosensory neurons can enhance information about the structure of natural communication stimuli that allow for reliable discrimination between different waveforms by downstream brain areas"--



Correlated Neuronal Activity And Its Relationship To Coding Dynamics And Network Architecture


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.



Understanding The Importance Of Temporal Coupling Of Neural Activities In Information Processing Underlying Action And Perception


Understanding The Importance Of Temporal Coupling Of Neural Activities In Information Processing Underlying Action And Perception
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Author : Daya Shankar Gupta
language : en
Publisher: Frontiers Media SA
Release Date : 2021-10-20

Understanding The Importance Of Temporal Coupling Of Neural Activities In Information Processing Underlying Action And Perception written by Daya Shankar Gupta and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-20 with Science categories.




Stochastic Methods In Neuroscience


Stochastic Methods In Neuroscience
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Author : Carlo Laing
language : en
Publisher: OUP Oxford
Release Date : 2009-09-24

Stochastic Methods In Neuroscience written by Carlo Laing and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-24 with Mathematics categories.


Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and advances in stochastic analysis. These techniques are leading to biophysically more realistic models. It has also become clear that both neuroscientists and mathematicians profit from collaborations in this exciting research area. Graduates and researchers in computational neuroscience and stochastic systems, and neuroscientists seeking to learn more about recent advances in the modelling and analysis of noisy neural systems, will benefit from this comprehensive overview. The series of self-contained chapters, each written by experts in their field, covers key topics such as: Markov chain models for ion channel release; stochastically forced single neurons and populations of neurons; statistical methods for parameter estimation; and the numerical approximation of these stochastic models. Each chapter gives an overview of a particular topic, including its history, important results in the area, and future challenges, and the text comes complete with a jargon-busting index of acronyms to allow readers to familiarize themselves with the language used.



Computational Neuroscience Theoretical Insights Into Brain Function


Computational Neuroscience Theoretical Insights Into Brain Function
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Author : Paul Cisek
language : en
Publisher: Elsevier
Release Date : 2007-11-14

Computational Neuroscience Theoretical Insights Into Brain Function written by Paul Cisek and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-14 with Science categories.


Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function. • Includes contributions by some of the most influential people in the field of computational neuroscience • Demonstrates how computational approaches are being used today to interpret experimental data • Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning



Neuronal Stochastic Variability Influences On Spiking Dynamics And Network Activity


Neuronal Stochastic Variability Influences On Spiking Dynamics And Network Activity
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Author : Mark D. McDonnell
language : en
Publisher: Frontiers Media SA
Release Date : 2016-07-18

Neuronal Stochastic Variability Influences On Spiking Dynamics And Network Activity written by Mark D. McDonnell and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-18 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.


Stochastic fluctuations are intrinsic to and unavoidable at every stage of neural dynamics. For example, ion channels undergo random conformational changes, neurotransmitter release at synapses is discrete and probabilistic, and neural networks are embedded in spontaneous background activity. The mathematical and computational tool sets contributing to our understanding of stochastic neural dynamics have expanded rapidly in recent years. New theories have emerged detailing the dynamics and computational power of the balanced state in recurrent networks. At the cellular level, novel stochastic extensions to the classical Hodgkin-Huxley model have enlarged our understanding of neuronal dynamics and action potential initiation. Analytical methods have been developed that allow for the calculation of the firing statistics of simplified phenomenological integrate-and-fire models, taking into account adaptation currents or temporal correlations of the noise. This Research Topic is focused on identified physiological/internal noise sources and mechanisms. By "internal", we mean variability that is generated by intrinsic biophysical processes. This includes noise at a range of scales, from ion channels to synapses to neurons to networks. The contributions in this Research Topic introduce innovative mathematical analysis and/or computational methods that relate to empirical measures of neural activity and illuminate the functional role of intrinsic noise in the brain.



The Senses A Comprehensive Reference


The Senses A Comprehensive Reference
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Author :
language : en
Publisher: Academic Press
Release Date : 2020-09-30

The Senses A Comprehensive Reference written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-30 with Medical categories.


The Senses: A Comprehensive Reference, Second Edition, Seven Volume Set is a comprehensive reference work covering the range of topics that constitute current knowledge of the neural mechanisms underlying the different senses. This important work provides the most up-to-date, cutting-edge, comprehensive reference combining volumes on all major sensory modalities in one set. Offering 264 chapters from a distinguished team of international experts, The Senses lays out current knowledge on the anatomy, physiology, and molecular biology of sensory organs, in a collection of comprehensive chapters spanning 4 volumes. Topics covered include the perception, psychophysics, and higher order processing of sensory information, as well as disorders and new diagnostic and treatment methods. Written for a wide audience, this reference work provides students, scholars, medical doctors, as well as anyone interested in neuroscience, a comprehensive overview of the knowledge accumulated on the function of sense organs, sensory systems, and how the brain processes sensory input. As with the first edition, contributions from leading scholars from around the world will ensure The Senses offers a truly international portrait of sensory physiology. The set is the definitive reference on sensory neuroscience and provides the ultimate entry point into the review and original literature in Sensory Neuroscience enabling students and scientists to delve into the subject and deepen their knowledge. All-inclusive coverage of topics: updated edition offers readers the only current reference available covering neurobiology, physiology, anatomy, and molecular biology of sense organs and the processing of sensory information in the brain Authoritative content: world-leading contributors provide readers with a reputable, dynamic and authoritative account of the topics under discussion Comprehensive-style content: in-depth, complex coverage of topics offers students at upper undergraduate level and above full insight into topics under discussion



Handbook Of The Behavioral Neurobiology Of Serotonin


Handbook Of The Behavioral Neurobiology Of Serotonin
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Author :
language : en
Publisher: Academic Press
Release Date : 2020-01-23

Handbook Of The Behavioral Neurobiology Of Serotonin written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Medical categories.


Handbook of the Behavioral Neurobiology of Serotonin, Second Edition, builds on the success of the first edition by continuing to provide a detailed and comprehensive overview of the many facets of behavioral serotonin research. The text expands on the two key topics, behavioral control (sensory processing, ultrasonic vocalization, and melatonin and sleep control) and psychiatric disorders, including its role on psychostimulant abuse and addiction. The new edition includes two new sections on the serotonin systems interactions and the involvement of serotonin in neurological disorders and associated treatment. Serotonin is a major neurotransmitters in the serotonergic system which one of the best studied and understood transmitter systems. Both are critically involved in the organization of all behaviors and in the regulation of emotion and mood. Features two new sections on serotonin systems interactions and serotonin in neurological disorders Focuses on ionotropic and metabotropic 5-HT receptor involvement in behavior Maps receptors and receptor signaling pathways to neurochemical and behavioral outcomes Covers the interactions between serotonin, melatonin and kynurenine pathways



Advances In Neural Networks Isnn 2014


Advances In Neural Networks Isnn 2014
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Author : Zhigang Zeng
language : en
Publisher: Springer
Release Date : 2014-11-28

Advances In Neural Networks Isnn 2014 written by Zhigang Zeng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-28 with Computers categories.


The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.