Theoretical Neuroscience

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Theoretical Neuroscience

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Author : Xiao-Jing Wang
language : en
Publisher: CRC Press
Release Date : 2025-02-28

Theoretical Neuroscience written by Xiao-Jing Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Medical categories.

This textbook is an introduction to Systems and Theoretical/Computational Neuroscience, with a particular emphasis on cognition. It consists of three parts: Part I covers fundamental concepts and mathematical models in computational neuroscience, along with cutting-edge topics. Part II explores the building blocks of cognition, including working memory (how the brain maintains and manipulates information "online" without external input), decision making (how choices are made among multiple options under conditions of uncertainty and risk) and behavioral flexibility (how we direct attention and control actions). Part III is dedicated to frontier research, covering models of large-scale multi-regional brain systems, Computational Psychiatry and the interface with Artificial Intelligence. The author highlights the perspective of neural circuits as dynamical systems, and emphasizes a cross-level mechanistic understanding of the brain and mind, from genes and cell types to collective neural populations and behavior. Overall, this textbook provides an opportunity for readers to become well versed in this highly interdisciplinary field of the twenty-first century. Key Features Rooted in the most recent advances in experimental studies of basic cognitive functions Introduces neurobiological and mathematical concepts so that the book is self-contained Heavily illustrated with high-quality figures that help to illuminate neurobiological concepts, present experimental findings and explain mathematical models Concludes with a list of core cognitive behavior tasks, ten take-home messages and three open questions for future research Computer model codes are available via GitHub for hands-on practice

Theoretical Neuroscience

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Author : Laurence F. Abbott
language : en
Publisher: MIT Press
Release Date : 2005-08-12

Theoretical Neuroscience written by Laurence F. Abbott and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-12 with Medical categories.

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.

Theoretical Neuroscience

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Author : Peter Dayan
language : en
Publisher:
Release Date : 2001

Theoretical Neuroscience written by Peter Dayan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computational neuroscience categories.

Theoretical Neuroscience Computational And Mathematical Modeling Of Neural Systems

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Author : Lucio Johnston
language : en
Publisher: American Medical Publishers
Release Date : 2023-09-19

Theoretical Neuroscience Computational And Mathematical Modeling Of Neural Systems written by Lucio Johnston and has been published by American Medical Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Computers categories.

Theoretical neuroscience refers to a subfield of neuroscience which makes use of brain abstractions, mathematical models and theoretical analysis. It provides a quantitative foundation to explain what nervous systems do, determines how they work and discovers the underlying general principles of their operation. Computational modelling and theoretical analysis are useful tools for describing what nervous systems do, figuring out how they work and understanding why they do so in a specific manner. Neuroscience includes a wide range of methods from molecular and cellular research as well as human, psychophysics and psychology. Theoretical neuroscience promotes cross-disciplinary collaboration through creating compact representations of what has been learned, bridging the gap among different levels of description and recognizing unifying concepts and principles. The basic function of computational modeling neuroscience is to understand the principles governing the development, structure, physiology and cognitive abilities of the nervous system. The goal of models in theoretical neuroscience is to capture the key characteristics of the biological system at multiple spatial-temporal scales. This book is a valuable compilation of topics, ranging from the basic to the most complex advancements in the field of theoretical neuroscience. It aims to shed light on the computational and mathematical modeling of neural systems. The book is appropriate for those seeking detailed information in this area.

Mathematical And Theoretical Neuroscience

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Author : Giovanni Naldi
language : en
Publisher: Springer
Release Date : 2018-03-20

Mathematical And Theoretical Neuroscience written by Giovanni Naldi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-20 with Mathematics categories.

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.

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 Medical 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

Computational Neuroscience

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Author : Hanspeter A Mallot
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-05-23

Computational Neuroscience written by Hanspeter A Mallot and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-23 with Technology & Engineering categories.

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.

Journal Of Theoretical Neurobiology

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Author :
language : en
Publisher:
Release Date : 1986

Journal Of Theoretical Neurobiology written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Neurobiology categories.

Fundamentals Of Computational Neuroscience

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Author : Thomas P. Trappenberg
language : en
Publisher: Oxford University Press
Release Date : 2022-11-28

Fundamentals Of Computational Neuroscience written by Thomas P. Trappenberg and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-28 with Medical categories.

Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous editions. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic.

Towards A Theoretical Neuroscience From Cell Chemistry To Cognition

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Author : L Andrew Coward
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-23

Towards A Theoretical Neuroscience From Cell Chemistry To Cognition written by L Andrew Coward and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-23 with Medical categories.

The book explains how to understand cognition in terms of brain anatomy, physiology and chemistry, using an approach adapted from techniques for understanding complex electronic systems. These techniques create hierarchies of information process based descriptions on different levels of detail, where higher levels contain less information and can therefore describe complete cognitive phenomena, but are more approximate. The nature of the approximations are well understood, and more approximate higher level descriptions can therefore be mapped to more precise detailed descriptions of any part of a phenomenon as required. Cognitive phenomena, the anatomy and connectivity of major brain structures, neuron physiology, and cellular chemistry are reviewed. Various cognitive tasks are described in terms of information processes performed by different major anatomical structures. These higher level descriptions are selectively mapped to more detailed physiological and chemical levels.