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Gain Modulation In Visual Cortex By Noisy Synaptic Inputs
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Book Synopsis Gain Modulation in Visual Cortex by Noisy Synaptic Inputs by : Asli Ayaz
Download or read book Gain Modulation in Visual Cortex by Noisy Synaptic Inputs written by Asli Ayaz and published by . This book was released on 2009 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain modulation of neuronal responses is widely observed in the cerebral cortex of both anesthetized and behaving animals. This dissertation examines mechanisms that may underlie different forms of gain modulation observed in visual cortex. We examine mechanisms that arise at many levels, beginning at the single-cell level (modulating the effective reversal potential of synaptic inputs to a cell) and ending at the network level (nonlinear interactions arising through recurrent connectivity). In Chapter 2, we examine how the balance between excitation and inhibition in a neuron's input may affect how that neuron integrates its inputs. We have found that if excitatory and inhibitory inputs are balanced at a specific potential (we refer to this potential as the "balanced potential"), these do not alter the firing-rate responses, provided that they do not introduce additional noise. If these inputs do increase noise, their effect is close to input-gain modulation, an effect best described as scaling of the input. If the inputs are noisy but instead balanced at a more hyperpolarized potential, their effect is more like response-gain modulation, a divisive scaling of the neuron's firing rate. In Chapter 3, we compare the effects of noisy synaptic inputs in a configuration that divisively scales firing-rate curves with the effects of subtractive mechanisms of inhibition and explore their possible role in producing multiplicative gain modulation effects observed in vivo, such as surround suppression and attention. The divisive mechanism of inhibition is more successful in producing both response-gain and input-gain modulation effects although the effects of subtractive inhibition can appear nonlinear. Finally in Chapter 4, we examine how network effects can produce gain modulation phenomena. Specifically, we construct a recurrent network model of attention in visual cortex, and demonstrate how multiple forms of gain modulation can arise through nonlinear interactions that arise within a recurrent framework of connectivity. Gain modulation phenomena observed in vivo may arise from all or only a subset of the mechanisms examined in this study. As discussed in the final chapter, whole-cell recording techniques that measure in vivo conductance changes may allow distinguishing between these mechanisms.
Book Synopsis Interactions of Synaptic Inputs from Multiple Cortical Pathways in the Visual Cortex by : Giao Bich Hang
Download or read book Interactions of Synaptic Inputs from Multiple Cortical Pathways in the Visual Cortex written by Giao Bich Hang and published by . This book was released on 2009 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Circuitry Underlying Response Properties of Neurons in the Primary Visual Cortex: Spatiotemporal Receptive Field of Synaptic Inputs by : Chenmei Jennie Chen
Download or read book Circuitry Underlying Response Properties of Neurons in the Primary Visual Cortex: Spatiotemporal Receptive Field of Synaptic Inputs written by Chenmei Jennie Chen and published by . This book was released on 2009 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Theoretical Neuroscience by : Peter Dayan
Download or read book Theoretical Neuroscience written by Peter Dayan and published by MIT Press. This book was released on 2005-08-12 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory. The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.
Book Synopsis Single Neuron Computation by : Thomas M. McKenna
Download or read book Single Neuron Computation written by Thomas M. McKenna and published by Academic Press. This book was released on 2014-05-19 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems-level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs.The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.
Download or read book Dynamic-Clamp written by Alain Destexhe and published by Springer Science & Business Media. This book was released on 2009-03-11 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called “conductance injection”) allows experimentalists and theoreticians to challenge neurons (or any other type of cell) with complex conductance stimuli generated by a computer. The technique can be implemented from neural simulation environments and a variety of custom-made or commercial systems. The real-time interaction between the computer and cell also enables the design of recording paradigms with unprecedented accuracy via a computational model of the electrode. Dynamic-Clamp: From Principles to Applications contains contributions from leading researchers in the field, who investigate these paradigms at the cellular or network level, in vivo and in vitro, and in different brain regions and cardiac cells. Topics discussed include the addition of artificially-generated synaptic activity to neurons; adding, amplifying or neutralizing voltage-dependent conductances; creating hybrid networks with real and artificial cells; attaching simulated dendritic tree structures to the living cell; and connecting different neurons. This book will be of interest to experimental biophysicists, neurophysiologists, and cardiac physiologists, as well as theoreticians, engineers, and computational neuroscientists. Graduate and undergraduate students will also find up-to-date coverage of physiological problems and how they are investigated.
Book Synopsis Biophysics of Computation by : Christof Koch
Download or read book Biophysics of Computation written by Christof Koch and published by Oxford University Press. This book was released on 2004-10-28 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes.Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation.Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.
Book Synopsis Handbook of Brain Microcircuits by : Gordon M. Shepherd
Download or read book Handbook of Brain Microcircuits written by Gordon M. Shepherd and published by Oxford University Press. This book was released on 2018 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to focus on principles, each chapter in this work is brief, organized around 1-3 wiring diagrams of the key circuits, with several pages of text that distil the functional significance of each microcircuit
Book Synopsis Modern Techniques in Neuroscience Research by : Uwe Windhorst
Download or read book Modern Techniques in Neuroscience Research written by Uwe Windhorst and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 1336 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the techniques used in modern neuroscience research with the emphasis on showing how different techniques can optimally be combined in the study of problems that arise at some levels of nervous system organization. This is essentially a working tool for the scientist in the laboratory and clinic, providing detailed step-by-step protocols with tips and recommendations. Most chapters and protocols are organized such that they can be used independently, while cross-references between the chapters, a glossary, a list of suppliers and appendices provide further help.
Book Synopsis The Auditory Cortex by : Jeffery A. Winer
Download or read book The Auditory Cortex written by Jeffery A. Winer and published by Springer Science & Business Media. This book was released on 2010-12-02 with total page 711 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been substantial progress in understanding the contributions of the auditory forebrain to hearing, sound localization, communication, emotive behavior, and cognition. The Auditory Cortex covers the latest knowledge about the auditory forebrain, including the auditory cortex as well as the medial geniculate body in the thalamus. This book will cover all important aspects of the auditory forebrain organization and function, integrating the auditory thalamus and cortex into a smooth, coherent whole. Volume One covers basic auditory neuroscience. It complements The Auditory Cortex, Volume 2: Integrative Neuroscience, which takes a more applied/clinical perspective.
Book Synopsis Diffusion Processes and Related Topics in Biology by : Luigi M. Ricciardi
Download or read book Diffusion Processes and Related Topics in Biology written by Luigi M. Ricciardi and published by Springer Science & Business Media. This book was released on 2013-03-13 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: These notes are based on a one-quarter course given at the Department of Biophysics and Theoretical Biology of the University of Chicago in 1916. The course was directed to graduate students in the Division of Biological Sciences with interests in population biology and neurobiology. Only a slight acquaintance with probability and differential equations is required of the reader. Exercises are interwoven with the text to encourage the reader to play a more active role and thus facilitate his digestion of the material. One aim of these notes is to provide a heuristic approach, using as little mathematics as possible, to certain aspects of the theory of stochastic processes that are being increasingly employed in some of the population biol ogy and neurobiology literature. While the subject may be classical, the nov elty here lies in the approach and point of view, particularly in the applica tions such as the approach to the neuronal firing problem and its related dif fusion approximations. It is a pleasure to thank Professors Richard C. Lewontin and Arnold J.F. Siegert for their interest and support, and Mrs. Angell Pasley for her excellent and careful typing. I . PRELIMINARIES 1. Terminology and Examples Consider an experiment specified by: a) the experiment's outcomes, ~, forming the space S; b) certain subsets of S (called events) and by the probabilities of these events.
Book Synopsis Spike-timing dependent plasticity by : Henry Markram
Download or read book Spike-timing dependent plasticity written by Henry Markram and published by Frontiers E-books. This book was released on with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hebb's postulate provided a crucial framework to understand synaptic alterations underlying learning and memory. Hebb's theory proposed that neurons that fire together, also wire together, which provided the logical framework for the strengthening of synapses. Weakening of synapses was however addressed by "not being strengthened", and it was only later that the active decrease of synaptic strength was introduced through the discovery of long-term depression caused by low frequency stimulation of the presynaptic neuron. In 1994, it was found that the precise relative timing of pre and postynaptic spikes determined not only the magnitude, but also the direction of synaptic alterations when two neurons are active together. Neurons that fire together may therefore not necessarily wire together if the precise timing of the spikes involved are not tighly correlated. In the subsequent 15 years, Spike Timing Dependent Plasticity (STDP) has been found in multiple brain brain regions and in many different species. The size and shape of the time windows in which positive and negative changes can be made vary for different brain regions, but the core principle of spike timing dependent changes remain. A large number of theoretical studies have also been conducted during this period that explore the computational function of this driving principle and STDP algorithms have become the main learning algorithm when modeling neural networks. This Research Topic will bring together all the key experimental and theoretical research on STDP.
Book Synopsis Inhibitory Synaptic Plasticity by : Melanie A. Woodin
Download or read book Inhibitory Synaptic Plasticity written by Melanie A. Woodin and published by Springer Science & Business Media. This book was released on 2010-11-02 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume will explore the most recent findings on cellular mechanisms of inhibitory plasticity and its functional role in shaping neuronal circuits, their rewiring in response to experience, drug addiction and in neuropathology. Inhibitory Synaptic Plasticity will be of particular interest to neuroscientists and neurophysiologists.
Download or read book Dendrites written by Greg Stuart and published by Oxford University Press, USA. This book was released on 2007 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dendrites form the major receiving part of neurons. This text presents a survey of knowledge on dendrites, from their morphology and development, through to their electrical chemical, and computational properties.
Book Synopsis Neuronal Dynamics by : Wulfram Gerstner
Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Book Synopsis Principles of Neural Coding by : Rodrigo Quian Quiroga
Download or read book Principles of Neural Coding written by Rodrigo Quian Quiroga and published by CRC Press. This book was released on 2013-05-06 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis The Noisy Brain by : Edmund T. Rolls
Download or read book The Noisy Brain written by Edmund T. Rolls and published by . This book was released on 2010-01-28 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The activity of neurons in the brain is noisy in that the neuronal firing times are random for a given mean rate. The Noisy Brain shows that this is fundamental to understanding many aspects of brain function, including probabilistic decision-making, perception, memory recall, short-term memory, attention, and even creativity. There are many applications too of this understanding, to for example memory and attentional disorders, aging, schizophrenia, and obsessive-compulsive disorder.
