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Decoding Neural Circuit Structure and Function

Author: Arzu Çelik

Publisher: Springer

Published: 2017-07-24

Total Pages: 518

ISBN-13: 3319573632

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This book offers representative examples from fly and mouse models to illustrate the ongoing success of the synergistic, state-of-the-art strategy, focusing on the ways it enhances our understanding of sensory processing. The authors focus on sensory systems (vision, olfaction), which are particularly powerful models for probing the development, connectivity, and function of neural circuits, to answer this question: How do individual nerve cells functionally cooperate to guide behavioral responses? Two genetically tractable species, mice and flies, together significantly further our understanding of these processes. Current efforts focus on integrating knowledge gained from three interrelated fields of research: (1) understanding how the fates of different cell types are specified during development, (2) revealing the synaptic connections between identified cell types (“connectomics”) using high-resolution three-dimensional circuit anatomy, and (3) causal testing of how iden tified circuit elements contribute to visual perception and behavior.

Book Synopsis Decoding Neural Circuit Structure and Function by : Arzu Çelik

Download or read book Decoding Neural Circuit Structure and Function written by Arzu Çelik and published by Springer. This book was released on 2017-07-24 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers representative examples from fly and mouse models to illustrate the ongoing success of the synergistic, state-of-the-art strategy, focusing on the ways it enhances our understanding of sensory processing. The authors focus on sensory systems (vision, olfaction), which are particularly powerful models for probing the development, connectivity, and function of neural circuits, to answer this question: How do individual nerve cells functionally cooperate to guide behavioral responses? Two genetically tractable species, mice and flies, together significantly further our understanding of these processes. Current efforts focus on integrating knowledge gained from three interrelated fields of research: (1) understanding how the fates of different cell types are specified during development, (2) revealing the synaptic connections between identified cell types (“connectomics”) using high-resolution three-dimensional circuit anatomy, and (3) causal testing of how iden tified circuit elements contribute to visual perception and behavior.

Frontiers of Engineering

Author: National Academy of Engineering

Publisher: National Academies Press

Published: 2018-02-22

Total Pages: 141

ISBN-13: 0309466016

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This volume presents papers on the topics covered at the National Academy of Engineering's 2017 US Frontiers of Engineering Symposium. Every year the symposium brings together 100 outstanding young leaders in engineering to share their cutting-edge research and innovations in selected areas. The 2017 symposium was held September 25-27 at the United Technologies Research Center in East Hartford, Connecticut. The intent of this book is to convey the excitement of this unique meeting and to highlight innovative developments in engineering research and technical work.

Book Synopsis Frontiers of Engineering by : National Academy of Engineering

Download or read book Frontiers of Engineering written by National Academy of Engineering and published by National Academies Press. This book was released on 2018-02-22 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents papers on the topics covered at the National Academy of Engineering's 2017 US Frontiers of Engineering Symposium. Every year the symposium brings together 100 outstanding young leaders in engineering to share their cutting-edge research and innovations in selected areas. The 2017 symposium was held September 25-27 at the United Technologies Research Center in East Hartford, Connecticut. The intent of this book is to convey the excitement of this unique meeting and to highlight innovative developments in engineering research and technical work.

Principles of Neural Coding

Author: Rodrigo Quian Quiroga

Publisher: CRC Press

Published: 2013-05-06

Total Pages: 643

ISBN-13: 1439853304

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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.

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 643 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 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.

Cortical Circuits

Author: Edward L. White

Publisher: Springer Science & Business Media

Published: 1989

Total Pages: 248

ISBN-13:

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This elegant book presents current evidence on the organization of the mammalian cerebral cortex. The focus on synapses and their function provides the basis for understanding how this critical part of the brain could work. Dr. White and his colleague Dr. Keller have collated an impressive mass of material. This makes the crucial information accessible and coherent. Dr. White pioneered an area of investigation that to most others, and occasionally to himself, seemed a bottomless pit of painstaking at tention to detail for the identification and enumeration of cortical syn apses. I do not recall that he or anyone else suspected, when he began to publish his now classic papers, that the work would be central to an accelerating convergence of information and ideas from neurobiology and computer science, especially artificial intelligence (AI) (Rumelhart and McClelland, 1986). The brain is the principal organ responsible for the adaptive capacities of animals. What has impressed students of biology, of medicine, and, to an extent, of philosophy is the correlation between the prominence of the cerebral cortex and the adaptive "complexity" of a particular spe cies. Most agree that the cortex is what sets Homo sapiens apart from other species quantitatively and qualitatively (Rakic, 1988). This is summarized in the first chapter.

Book Synopsis Cortical Circuits by : Edward L. White

Download or read book Cortical Circuits written by Edward L. White and published by Springer Science & Business Media. This book was released on 1989 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This elegant book presents current evidence on the organization of the mammalian cerebral cortex. The focus on synapses and their function provides the basis for understanding how this critical part of the brain could work. Dr. White and his colleague Dr. Keller have collated an impressive mass of material. This makes the crucial information accessible and coherent. Dr. White pioneered an area of investigation that to most others, and occasionally to himself, seemed a bottomless pit of painstaking at tention to detail for the identification and enumeration of cortical syn apses. I do not recall that he or anyone else suspected, when he began to publish his now classic papers, that the work would be central to an accelerating convergence of information and ideas from neurobiology and computer science, especially artificial intelligence (AI) (Rumelhart and McClelland, 1986). The brain is the principal organ responsible for the adaptive capacities of animals. What has impressed students of biology, of medicine, and, to an extent, of philosophy is the correlation between the prominence of the cerebral cortex and the adaptive "complexity" of a particular spe cies. Most agree that the cortex is what sets Homo sapiens apart from other species quantitatively and qualitatively (Rakic, 1988). This is summarized in the first chapter.

Closing the Loop Around Neural Systems

Author: Steve M Potter

Publisher: Frontiers Media SA

Published: 2014-12-03

Total Pages: 424

ISBN-13: 288919356X

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Closed-loop neurophysiology has been accelerated by recent software and hardware developments and by the emergence of novel tools to control neuronal activity with spatial and temporal precision, in which stimuli are delivered in real time based on recordings or behavior. Real-time stimulation feedback enables a wide range of innovative studies of information processing and plasticity in neuronal networks. This Research Topic e-Book comprises 16 Original Research Articles, seven Methods Articles, and seven Reviews, Mini- Reviews, and Perspectives, all peer-reviewed and published in Frontiers in Neural Circuits. The contributions deal with closed loop neurophysiology experiments at a variety of levels of neural circuit complexity. Some include modeling and theoretical analyses. New enabling technologies and techniques are described. Novel work is presented from experiments in vitro, in vivo, and in humans, along with their clinical and technological implications for improving the human condition.

Book Synopsis Closing the Loop Around Neural Systems by : Steve M Potter

Download or read book Closing the Loop Around Neural Systems written by Steve M Potter and published by Frontiers Media SA. This book was released on 2014-12-03 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Closed-loop neurophysiology has been accelerated by recent software and hardware developments and by the emergence of novel tools to control neuronal activity with spatial and temporal precision, in which stimuli are delivered in real time based on recordings or behavior. Real-time stimulation feedback enables a wide range of innovative studies of information processing and plasticity in neuronal networks. This Research Topic e-Book comprises 16 Original Research Articles, seven Methods Articles, and seven Reviews, Mini- Reviews, and Perspectives, all peer-reviewed and published in Frontiers in Neural Circuits. The contributions deal with closed loop neurophysiology experiments at a variety of levels of neural circuit complexity. Some include modeling and theoretical analyses. New enabling technologies and techniques are described. Novel work is presented from experiments in vitro, in vivo, and in humans, along with their clinical and technological implications for improving the human condition.

Interpretable Machine Learning

Author: Christoph Molnar

Publisher: Lulu.com

Published: 2020

Total Pages: 320

ISBN-13: 0244768528

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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

The challenges of consciousness research in light of the variations of conscious experience

Author: Christopher Gutland

Publisher: Frontiers Media SA

Published: 2024-02-29

Total Pages: 137

ISBN-13: 2832543626

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Book Synopsis The challenges of consciousness research in light of the variations of conscious experience by : Christopher Gutland

Download or read book The challenges of consciousness research in light of the variations of conscious experience written by Christopher Gutland and published by Frontiers Media SA. This book was released on 2024-02-29 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neuronal Ensembles

Author: Howard B. Eichenbaum

Publisher: Wiley-Liss

Published: 1998-04-13

Total Pages: 296

ISBN-13:

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The distributed coding hypothesis —the view that complex cognitive functions such as visual perception or memory formation are the work of large networks of neurons in areas of the cerebral cortex —is widely accepted in contemporary neuroscience. Yet only in recent years have tools emerged that can monitor the electrophysiological activity of neuron ensembles in the cortical areas of awake, behaving animals. The use of these multichannel recording techniques in biological network analysis is changing the way scientists view brain function. These methods also offer the possibility of a direct test of the distributed coding hypothesis. Neuronal Ensembles: Strategies for Recording and Decoding presents a comprehensive treatment of multichannel recording techniques —how to apply them and how to analyze the vast amounts of data they generate. Composed of contributions by leading neuroscientists at the forefront of this technology, the book covers groundbreaking work in multichannel microelectrode technology, analyses of single neuron spike trains, and ensemble analysis of cell populations. The authors outline established techniques, offer practical tips on developing new methods, and share their ideas for further brain research. Topics covered include: Extracellular recording and analysis of neural activity The relationship between neuronal codes and cortical organization Cell assemblies and cognitive function Neuronal population coding Motor cortical information processing Detection and identification of ensemble codes in the motor cortex Ensemble recordings and the nature of stimulus representation in hippocampal cognitive maps Methods, results, and issues related to recording neural ensembles Neuronal ensemble dynamics in the hippocampus and neocortex during sleep and waking Behavioral, electrophysiological, and genetic approaches to the study of synaptic plasticity and memory Neuronal Ensembles: Strategies for Recording and Decoding is an important reference for researchers, graduate students, and postdoctoral fellows in all areas of neuroscience, cognitive neuroscience, and bioengineering.

Book Synopsis Neuronal Ensembles by : Howard B. Eichenbaum

Download or read book Neuronal Ensembles written by Howard B. Eichenbaum and published by Wiley-Liss. This book was released on 1998-04-13 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The distributed coding hypothesis —the view that complex cognitive functions such as visual perception or memory formation are the work of large networks of neurons in areas of the cerebral cortex —is widely accepted in contemporary neuroscience. Yet only in recent years have tools emerged that can monitor the electrophysiological activity of neuron ensembles in the cortical areas of awake, behaving animals. The use of these multichannel recording techniques in biological network analysis is changing the way scientists view brain function. These methods also offer the possibility of a direct test of the distributed coding hypothesis. Neuronal Ensembles: Strategies for Recording and Decoding presents a comprehensive treatment of multichannel recording techniques —how to apply them and how to analyze the vast amounts of data they generate. Composed of contributions by leading neuroscientists at the forefront of this technology, the book covers groundbreaking work in multichannel microelectrode technology, analyses of single neuron spike trains, and ensemble analysis of cell populations. The authors outline established techniques, offer practical tips on developing new methods, and share their ideas for further brain research. Topics covered include: Extracellular recording and analysis of neural activity The relationship between neuronal codes and cortical organization Cell assemblies and cognitive function Neuronal population coding Motor cortical information processing Detection and identification of ensemble codes in the motor cortex Ensemble recordings and the nature of stimulus representation in hippocampal cognitive maps Methods, results, and issues related to recording neural ensembles Neuronal ensemble dynamics in the hippocampus and neocortex during sleep and waking Behavioral, electrophysiological, and genetic approaches to the study of synaptic plasticity and memory Neuronal Ensembles: Strategies for Recording and Decoding is an important reference for researchers, graduate students, and postdoctoral fellows in all areas of neuroscience, cognitive neuroscience, and bioengineering.

MATLAB for Neuroscientists

Author: Pascal Wallisch

Publisher: Academic Press

Published: 2014-01-09

Total Pages: 571

ISBN-13: 0123838371

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MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and advanced spectral analysis. Users at a variety of levels—advanced undergraduates, beginning graduate students, and researchers looking to modernize their skills—will learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners. The first complete volume on MATLAB focusing on neuroscience and psychology applications Problem-based approach with many examples from neuroscience and cognitive psychology using real data Illustrated in full color throughout Careful tutorial approach, by authors who are award-winning educators with strong teaching experience

Book Synopsis MATLAB for Neuroscientists by : Pascal Wallisch

Download or read book MATLAB for Neuroscientists written by Pascal Wallisch and published by Academic Press. This book was released on 2014-01-09 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and advanced spectral analysis. Users at a variety of levels—advanced undergraduates, beginning graduate students, and researchers looking to modernize their skills—will learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners. The first complete volume on MATLAB focusing on neuroscience and psychology applications Problem-based approach with many examples from neuroscience and cognitive psychology using real data Illustrated in full color throughout Careful tutorial approach, by authors who are award-winning educators with strong teaching experience

Statistical Signal Processing for Neuroscience and Neurotechnology

Author: Karim G. Oweiss

Publisher: Academic Press

Published: 2010-09-22

Total Pages: 433

ISBN-13: 9780080962962

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This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems

Book Synopsis Statistical Signal Processing for Neuroscience and Neurotechnology by : Karim G. Oweiss

Download or read book Statistical Signal Processing for Neuroscience and Neurotechnology written by Karim G. Oweiss and published by Academic Press. This book was released on 2010-09-22 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems