Theoretical Neuroscience

Theoretical Neuroscience
Author: Peter Dayan,Laurence F. Abbott
Publsiher: MIT Press
Total Pages: 477
Release: 2005-08-12
ISBN: 0262541858
Category: Medical
Language: EN, FR, DE, ES & NL

Theoretical Neuroscience 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.

Mathematical and Theoretical Neuroscience

Mathematical and Theoretical Neuroscience
Author: Giovanni Naldi,Thierry Nieus
Publsiher: Springer
Total Pages: 253
Release: 2018-03-20
ISBN: 3319682970
Category: Mathematics
Language: EN, FR, DE, ES & NL

Mathematical and Theoretical Neuroscience Book Excerpt:

This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical and numerical topics; statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience.

Emergent Behavior in System of Systems Engineering

Emergent Behavior in System of Systems Engineering
Author: Larry B. Rainey,O.Thomas Holland
Publsiher: CRC Press
Total Pages: 278
Release: 2022-08-05
ISBN: 1000622886
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Emergent Behavior in System of Systems Engineering Book Excerpt:

"This book compiles real-world case studies on discovering, understanding and engineering emergent behaviors in a computational environment across multiple application domains such as wargaming, biology, IoT, disaster management and space architecting. All the application domains are described through an undercurrent of System of Systems (SoS) engineering in conjunction with theoretical foundations required for engineering a Modeling and Simulation SoS capable of displaying valid emergent behavior. An excellent read and state-of-the-art in M&S of emergent behavior in complex systems!" --Dr. Saurabh Mittal, Department Chief Scientist, The MITRE Corporation This book is the of its kind to address real-world applications of the phenomenon of emergent behavior in real-world system of systems. It launches from the foundation of theory and basic understanding of the subject of emergent behavior as found in system of systems applications. It includes real-world examples where emergent behavior is manifested. Each chapter addresses the following major points, which are exploratory in nature: the physical results of the presence of emergent behavior; the implications for the existence of emergent behavior; the manifestation of emergent behavior; and methods to either control emergent behavior assuming its effects are negative in nature, or capitalize on emergent behavior given its effects are positive in nature.

Computational Neuroscience

Computational Neuroscience
Author: Hanspeter A Mallot
Publsiher: Springer Science & Business Media
Total Pages: 135
Release: 2013-05-23
ISBN: 3319008617
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computational Neuroscience Book Excerpt:

Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.

Computational Neuroscience Trends in Research 2004

Computational Neuroscience  Trends in Research 2004
Author: E. De Schutter
Publsiher: Elsevier
Total Pages: 1260
Release: 2004-06-26
ISBN: 9780444516497
Category: Computers
Language: EN, FR, DE, ES & NL

Computational Neuroscience Trends in Research 2004 Book Excerpt:

The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.

Neuromathematics of Vision

Neuromathematics of Vision
Author: Giovanna Citti,Alessandro Sarti
Publsiher: Springer Science & Business Media
Total Pages: 367
Release: 2014-02-08
ISBN: 3642344445
Category: Mathematics
Language: EN, FR, DE, ES & NL

Neuromathematics of Vision Book Excerpt:

This book is devoted to the study of the functional architecture of the visual cortex. Its geometrical structure is the differential geometry of the connectivity between neural cells. This connectivity is building and shaping the hidden brain structures underlying visual perception. The story of the problem runs over the last 30 years, since the discovery of Hubel and Wiesel of the modular structure of the primary visual cortex, and slowly cams towards a theoretical understanding of the experimental data on what we now know as functional architecture of the primary visual cortex. Experimental data comes from several domains: neurophysiology, phenomenology of perception and neurocognitive imaging. Imaging techniques like functional MRI and diffusion tensor MRI allow to deepen the study of cortical structures. Due to this variety of experimental data, neuromathematematics deals with modelling both cortical structures and perceptual spaces. From the mathematical point of view, neuromathematical call for new instruments of pure mathematics: sub-Riemannian geometry models horizontal connectivity, harmonic analysis in non commutative groups allows to understand pinwheels structure, as well as non-linear dimensionality reduction is at the base of many neural morphologies and possibly of the emergence of perceptual units. But at the center of the neurogeometry is the problem of harmonizing contemporary mathematical instruments with neurophysiological findings and phenomenological experiments in an unitary science of vision. The contributions to this book come from the very founders of the discipline.

Intelligent Decision Support Systems A Journey to Smarter Healthcare

Intelligent Decision Support Systems   A Journey to Smarter Healthcare
Author: Smaranda Belciug,Florin Gorunescu
Publsiher: Springer
Total Pages: 271
Release: 2019-03-20
ISBN: 3030143546
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Intelligent Decision Support Systems A Journey to Smarter Healthcare Book Excerpt:

The goal of this book is to provide, in a friendly and refreshing manner, both theoretical concepts and practical techniques for the important and exciting field of Artificial Intelligence that can be directly applied to real-world healthcare problems. Healthcare – the final frontier. Lately, it seems like Pandora opened the box and evil was released into the world. Fortunately, there was one thing left in the box: hope. In recent decades, hope has been increasingly represented by Intelligent Decision Support Systems. Their continuing mission: to explore strange new diseases, to seek out new treatments and drugs, and to intelligently manage healthcare resources and patients. Hence, this book is designed for all those who wish to learn how to explore, analyze and find new solutions for the most challenging domain of all time: healthcare.

Somatosensory Feedback for Neuroprosthetics

Somatosensory Feedback for Neuroprosthetics
Author: Burak Guclu
Publsiher: Academic Press
Total Pages: 716
Release: 2021-07-19
ISBN: 0128230002
Category: Science
Language: EN, FR, DE, ES & NL

Somatosensory Feedback for Neuroprosthetics Book Excerpt:

Although somatosensory system works in tandem with the motor system in biology, the majority of the prosthetics research and commercial efforts had focused on accommodating movement deficits. With the development of neuroprostheses in the last 15 years, it has become evident that somatosensory input (mainly as touch and proprioception) is essential for motor control, manipulating objects, and embodiment, in addition to its primary role for sensory perception. Somatosensory Feedback for Neuroprosthetics covers all relevant aspects to facilitate learning and doing research and development in the field. To understand the properties of the body to create viable solutions, this book starts with chapters reviewing the basic anatomy, physiology, and psychophysics of the somatosensory system, sensorimotor control, and instrumentation. Some sections are dedicated to invasive (peripheral and central, mainly cortical) and noninvasive (vibrotactile, electrotactile, etc.) approaches. Final chapters cover future technologies such as novel sensors and electrodes, safety, and clinical testing, and help to make up future prospects for this field with an emphasis on development and end use. With contributions from renowned experts, the contents include their recent findings and technical details necessary to understand those findings. Provides a concise review of the somatosensory system and latest advances in the use of somatosensory feedback for neuroprosthetics Analyzes many approaches to somatosensory feedback Provides the most detailed work on somatosensory neuroprostheses, their development, and applications in real life work.

Advances in Computational Neuroscience

Advances in Computational Neuroscience
Author: Thomas Nowotny,Sacha Jennifer van Albada,Tatyana Sharpee,Jean-Marc Fellous,Renaud Blaise Jolivet,Julie S. Haas,Christoph Metzner
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-02-23
ISBN: 2889745015
Category: Science
Language: EN, FR, DE, ES & NL

Advances in Computational Neuroscience Book Excerpt:

Mathematical Foundations of Neuroscience

Mathematical Foundations of Neuroscience
Author: G. Bard Ermentrout,David H. Terman
Publsiher: Springer Science & Business Media
Total Pages: 422
Release: 2010-07-01
ISBN: 0387877088
Category: Mathematics
Language: EN, FR, DE, ES & NL

Mathematical Foundations of Neuroscience Book Excerpt:

This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to understand how to create models, as well as the mathematical and computational methods for analyzing them. The authors take a very broad approach and use many different methods to solve and understand complex models of neurons and circuits. They explain and combine numerical, analytical, dynamical systems and perturbation methods to produce a modern approach to the types of model equations that arise in neuroscience. There are extensive chapters on the role of noise, multiple time scales and spatial interactions in generating complex activity patterns found in experiments. The early chapters require little more than basic calculus and some elementary differential equations and can form the core of a computational neuroscience course. Later chapters can be used as a basis for a graduate class and as a source for current research in mathematical neuroscience. The book contains a large number of illustrations, chapter summaries and hundreds of exercises which are motivated by issues that arise in biology, and involve both computation and analysis. Bard Ermentrout is Professor of Computational Biology and Professor of Mathematics at the University of Pittsburgh. David Terman is Professor of Mathematics at the Ohio State University.

From Neuron to Cognition via Computational Neuroscience

From Neuron to Cognition via Computational Neuroscience
Author: Michael A. Arbib,James J. Bonaiuto
Publsiher: MIT Press
Total Pages: 808
Release: 2016-11-11
ISBN: 0262034964
Category: Science
Language: EN, FR, DE, ES & NL

From Neuron to Cognition via Computational Neuroscience Book Excerpt:

A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille

Dynamical Systems in Neuroscience

Dynamical Systems in Neuroscience
Author: Eugene M. Izhikevich
Publsiher: MIT Press
Total Pages: 459
Release: 2010-01-22
ISBN: 0262514206
Category: Medical
Language: EN, FR, DE, ES & NL

Dynamical Systems in Neuroscience Book Excerpt:

Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology. Dynamical Systems in Neuroscience presents a systematic study of the relationship of electrophysiology, nonlinear dynamics, and computational properties of neurons. It emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. The book introduces dynamical systems, starting with one- and two-dimensional Hodgkin-Huxley-type models and continuing to a description of bursting systems. Each chapter proceeds from the simple to the complex, and provides sample problems at the end. The book explains all necessary mathematical concepts using geometrical intuition; it includes many figures and few equations, making it especially suitable for non-mathematicians. Each concept is presented in terms of both neuroscience and mathematics, providing a link between the two disciplines. Nonlinear dynamical systems theory is at the core of computational neuroscience research, but it is not a standard part of the graduate neuroscience curriculum—or taught by math or physics department in a way that is suitable for students of biology. This book offers neuroscience students and researchers a comprehensive account of concepts and methods increasingly used in computational neuroscience. An additional chapter on synchronization, with more advanced material, can be found at the author's website, www.izhikevich.com.

Computational Neuroscience

Computational Neuroscience
Author: Wanpracha Chaovalitwongse,Panos M. Pardalos,Petros Xanthopoulos
Publsiher: Springer Science & Business Media
Total Pages: 396
Release: 2010-07-03
ISBN: 9780387886305
Category: Medical
Language: EN, FR, DE, ES & NL

Computational Neuroscience Book Excerpt:

This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience.

Closed Loop Neuroscience

Closed Loop Neuroscience
Author: Ahmed El Hady
Publsiher: Academic Press
Total Pages: 304
Release: 2016-09-08
ISBN: 0128026413
Category: Medical
Language: EN, FR, DE, ES & NL

Closed Loop Neuroscience Book Excerpt:

Closed Loop Neuroscience addresses the technical aspects of closed loop neurophysiology, presenting the implementation of these approaches spanning several domains of neuroscience, from cellular and network neurophysiology, through sensory and motor systems, and then clinical therapeutic devices. Although closed-loop approaches have long been a part of the neuroscientific toolbox, these techniques are only now gaining popularity in research and clinical applications. As there is not yet a comprehensive methods book addressing the topic as a whole, this volume fills that gap, presenting state-of-the-art approaches and the technical advancements that enable their application to different scientific problems in neuroscience. Presents the first volume to offer researchers a comprehensive overview of the technical realities of employing closed loop techniques in their work Offers application to in-vitro, in-vivo, and hybrid systems Contains an emphasis on the actual techniques used rather than on specific results obtained Includes exhaustive protocols and descriptions of software and hardware, making it easy for readers to implement the proposed methodologies Encompasses the clinical/neuroprosthetic aspect and how these systems can also be used to contribute to our understanding of basic neurophysiology Edited work with chapters authored by leaders in the field from around the globe – the broadest, most expert coverage available

Data Driven Science and Engineering

Data Driven Science and Engineering
Author: Steven L. Brunton,J. Nathan Kutz
Publsiher: Cambridge University Press
Total Pages: 615
Release: 2022-05-05
ISBN: 1009098489
Category: Computers
Language: EN, FR, DE, ES & NL

Data Driven Science and Engineering Book Excerpt:

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Computational Neuroscience

Computational Neuroscience
Author: Jianfeng Feng
Publsiher: CRC Press
Total Pages: 656
Release: 2003-10-20
ISBN: 0203494466
Category: Mathematics
Language: EN, FR, DE, ES & NL

Computational Neuroscience Book Excerpt:

How does the brain work? After a century of research, we still lack a coherent view of how neurons process signals and control our activities. But as the field of computational neuroscience continues to evolve, we find that it provides a theoretical foundation and a set of technological approaches that can significantly enhance our understanding.

Encyclopedia of Neuroscience Volume 1

Encyclopedia of Neuroscience  Volume 1
Author: Larry R. Squire
Publsiher: Academic Press
Total Pages: 12505
Release: 2009-06-12
ISBN: 0080963935
Category: Medical
Language: EN, FR, DE, ES & NL

Encyclopedia of Neuroscience Volume 1 Book Excerpt:

The Encyclopedia of the Neuroscience explores all areas of the discipline in its focused entries on a wide variety of topics in neurology, neurosurgery, psychiatry and other related areas of neuroscience. Each article is written by an expert in that specific domain and peer reviewed by the advisory board before acceptance into the encyclopedia. Each article contains a glossary, introduction, a reference section, and cross-references to other related encyclopedia articles. Written at a level suitable for university undergraduates, the breadth and depth of coverage will appeal beyond undergraduates to professionals and academics in related fields.

Advanced Data Analysis in Neuroscience

Advanced Data Analysis in Neuroscience
Author: Daniel Durstewitz
Publsiher: Springer
Total Pages: 292
Release: 2017-09-15
ISBN: 3319599763
Category: Medical
Language: EN, FR, DE, ES & NL

Advanced Data Analysis in Neuroscience Book Excerpt:

This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification, to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanatory frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most methods are provided through a package of MatLab routines, encouraging a playful approach to the subject, and providing readers with a better feel for the practical aspects of the methods covered. "Computational neuroscience is essential for integrating and providing a basis for understanding the myriads of remarkable laboratory data on nervous system functions. Daniel Durstewitz has excellently covered the breadth of computational neuroscience from statistical interpretations of data to biophysically based modeling of the neurobiological sources of those data. His presentation is clear, pedagogically sound, and readily useable by experts and beginners alike. It is a pleasure to recommend this very well crafted discussion to experimental neuroscientists as well as mathematically well versed Physicists. The book acts as a window to the issues, to the questions, and to the tools for finding the answers to interesting inquiries about brains and how they function." Henry D. I. Abarbanel Physics and Scripps Institution of Oceanography, University of California, San Diego “This book delivers a clear and thorough introduction to sophisticated analysis approaches useful in computational neuroscience. The models described and the examples provided will help readers develop critical intuitions into what the methods reveal about data. The overall approach of the book reflects the extensive experience Prof. Durstewitz has developed as a leading practitioner of computational neuroscience. “ Bruno B. Averbeck

Mathematical Modeling and Simulation in Enteric Neurobiology

Mathematical Modeling and Simulation in Enteric Neurobiology
Author: Roustem Miftahof,Hong Gil Nam,David L. Wingate
Publsiher: World Scientific
Total Pages: 319
Release: 2009-01
ISBN: 981283480X
Category: Mathematics
Language: EN, FR, DE, ES & NL

Mathematical Modeling and Simulation in Enteric Neurobiology Book Excerpt:

The lack of scientists equally trained and prepared to understand both mathematics and biology/medicine hampers the development and application of computer simulation methods in biology and neurogastrobiology. Currently, there are no texts for navigating the extensive and intricate field of mathematical and computational modeling in neurogastrobiology. This book bridges the gap between mathematicians, computer scientists and biologists, and thus assists in the study and analysis of complex biological phenomena that cannot be done through traditional in vivo and in vitro experimental approaches.The book recognizes the complexity of biological phenomena under investigation and treats the subject matter with a degree of mathematical rigor. Special attention is given to computer simulations for interpolation and extrapolation of electromechanical and chemoelectrical phenomena, nonlinear self-sustained electromechanical wave activity, pharmacological effects including co-localization and co-transmission by multiple neurotransmitters, receptor polymodality, and drug interactions.Mathematical Modeling and Simulation in Enteric Neurobiology is an interdisciplinary book and is an essential source of information for biologists and doctors who are interested in knowing about the role and advantages of numerical experimentation in their subjects, as well as for mathematicians who are interested in exploring new areas of applications.

Computational Neurostimulation

Computational Neurostimulation
Author: Anonim
Publsiher: Elsevier
Total Pages: 316
Release: 2015-11-16
ISBN: 0444635475
Category: Medical
Language: EN, FR, DE, ES & NL

Computational Neurostimulation Book Excerpt:

Computational Neurostimulation, the latest volume in the Progress in Brain Research series provides an introduction to a nascent field with contributions from leading researchers. In addition, it addresses a very timely and relevant issue which has long been known to require more treatment. Part of a well-established international series that examines major areas of basic and clinical research within neuroscience, as well as emerging subfields Provides an introduction to a nascent field with contributions from leading researchers