Editor S Pick E Book Highlighted Research From Frontiers In Computational Neuroscience 2025
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Editor S Pick E Book Highlighted Research From Frontiers In Computational Neuroscience 2025
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Author : Misha Tsodyks
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-27
Editor S Pick E Book Highlighted Research From Frontiers In Computational Neuroscience 2025 written by Misha Tsodyks 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 2025-06-27 with Science categories.
Frontiers in Computational Neuroscience is a multidisciplinary journal that focuses on the theoretical modeling of brain function and encourages multidisciplinary interactions between theoretical and experimental neuroscience. Our mission aligns closely with advancing global health and wellness goals, particularly the United Nations’ Sustainable Development Goal 3: good health and well-being by promoting a deeper understanding of brain function and fostering research and collaboration in the field. This contributes to the development of new knowledge and technologies that can potentially improve mental health, neurological disorders, and overall well being, aligning with the broader goal of ensuring healthy lives and promoting well-being for all at all ages. Here we are pleased to introduce this Theme book entitled ‘Research Highlights from Frontiers in Computational Neuroscience: 2024’ curated by our esteemed Chief Editors of Frontiers in Computational Neuroscience. This collection honors the remarkable contributions of authors who have furthered our understanding of computational neuroscience through innovative and impactful research. The work presented here spotlights the broad diversity of exciting research performed across the journal. We hope you enjoy our selection of key articles. We also thank all authors, editors, and reviewers of Frontiers in Computational Neuroscience for their contributions to our journal and look forward to another exciting year in 2025.
Data Driven Computational Neuroscience
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Author : Concha Bielza
language : en
Publisher: Cambridge University Press
Release Date : 2020-11-26
Data Driven Computational Neuroscience written by Concha Bielza and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-26 with Computers categories.
Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.
Neuroeconomics
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Author : Paul W. Glimcher
language : en
Publisher: Academic Press
Release Date : 2013-08-13
Neuroeconomics written by Paul W. Glimcher and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-13 with Psychology categories.
In the years since it first published, Neuroeconomics: Decision Making and the Brain has become the standard reference and textbook in the burgeoning field of neuroeconomics. The second edition, a nearly complete revision of this landmark book, will set a new standard. This new edition features five sections designed to serve as both classroom-friendly introductions to each of the major subareas in neuroeconomics, and as advanced synopses of all that has been accomplished in the last two decades in this rapidly expanding academic discipline. The first of these sections provides useful introductions to the disciplines of microeconomics, the psychology of judgment and decision, computational neuroscience, and anthropology for scholars and students seeking interdisciplinary breadth. The second section provides an overview of how human and animal preferences are represented in the mammalian nervous systems. Chapters on risk, time preferences, social preferences, emotion, pharmacology, and common neural currencies—each written by leading experts—lay out the foundations of neuroeconomic thought. The third section contains both overview and in-depth chapters on the fundamentals of reinforcement learning, value learning, and value representation. The fourth section, "The Neural Mechanisms for Choice, integrates what is known about the decision-making architecture into state-of-the-art models of how we make choices. The final section embeds these mechanisms in a larger social context, showing how these mechanisms function during social decision-making in both humans and animals. The book provides a historically rich exposition in each of its chapters and emphasizes both the accomplishments and the controversies in the field. A clear explanatory style and a single expository voice characterize all chapters, making core issues in economics, psychology, and neuroscience accessible to scholars from all disciplines. The volume is essential reading for anyone interested in neuroeconomics in particular or decision making in general. - Editors and contributing authors are among the acknowledged experts and founders in the field, making this the authoritative reference for neuroeconomics - Suitable as an advanced undergraduate or graduate textbook as well as a thorough reference for active researchers - Introductory chapters on economics, psychology, neuroscience, and anthropology provide students and scholars from any discipline with the keys to understanding this interdisciplinary field - Detailed chapters on subjects that include reinforcement learning, risk, inter-temporal choice, drift-diffusion models, game theory, and prospect theory make this an invaluable reference - Published in association with the Society for Neuroeconomics—www.neuroeconomics.org - Full-color presentation throughout with numerous carefully selected illustrations to highlight key concepts
Applied Psychology
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Author : Stewart Ian Donaldson
language : en
Publisher: Psychology Press
Release Date : 2006
Applied Psychology written by Stewart Ian Donaldson and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Psychology categories.
In Applied Psychology some of the most eminent psychologists in the world today examine how psychological science is and can be used to prevent and ameliorate pressing human problems to promote positive social change. The book also reviews the vas
Goal Directed Decision Making
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Author : Richard W. Morris
language : en
Publisher: Academic Press
Release Date : 2018-08-23
Goal Directed Decision Making written by Richard W. Morris and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-23 with Psychology categories.
Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making. - Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform - Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction - Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making
International Journal Of Software Science And Computational Intelligence
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Author : Yingxu Wang
language : en
Publisher: IGI Publishing
Release Date : 2010
International Journal Of Software Science And Computational Intelligence written by Yingxu Wang and has been published by IGI Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computational intelligence categories.
The latest developments in computer science, theoretical software engineering, cognitive science, cognitive informatics, intelligence science, and the crystallization of accumulated knowledge by the fertilization of these areas, have led to the emergence of a transdisciplinary and convergence field known as software and intelligence sciences International Journal of Software Science and Computational Intelligence (IJSSCI) is a transdisciplinary, archived, and rigorously refereed journal that publishes and disseminates cutting-edge research findings and technological developments in the emerging fields of software science and computational intelligence, as well as their engineering applications.
Digital And Social Media Marketing
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Author : Nripendra P. Rana
language : en
Publisher: Springer Nature
Release Date : 2019-11-11
Digital And Social Media Marketing written by Nripendra P. Rana and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-11 with Business & Economics categories.
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
Molecular And Cellular Approaches To Neural Development
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Author : W. Maxwell Cowan
language : en
Publisher:
Release Date : 1997
Molecular And Cellular Approaches To Neural Development written by W. Maxwell Cowan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Medical categories.
Comprehensive, up-to-date and authoritative, this volume covers all the recent advances in understanding the early events of neural development at the molecular and cellular levels. The authors detail the applications of molecular genetic methods to the study of neural induction, neuronal phenotypes and processes, and the formation of specific patterns of connections. They analyze the new information generated through modern techniques for identifying, cloning, deleting and introducing specific genes, for labeling neuronal or glial precursors, and for imaging individual neurons or parts of neurons. Other chapters focus on the increasing use of a variety of model organisms: fruit flies, nematode worms, zebra fish, xenopus frogs, chicks, and mice. The improved conservation of DNA and protein sequences, and the availability of gene and protein databases have made it possible to rapidly identify gene homologues in organisms sometimes separated by hundreds of millions of years of evolution. This volume features several chapters co-authored by investigators one of whom works on vertebrates and the other on invertebrates. They demonstrate clearly that although the nervous systems of a fruit fly and a mouse, for example, are quite different in appearance and organization, many of the same molecular players and cellular processes are involved in their assembly. Molecular and Cellular Approaches to Neural Development will be of great practical interest to researchers, graduate students and post-doctoral fellows in developmental, cell and molecular biology, genetics, and neuroscience.
Connectomics
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Author : Brent C. Munsell
language : en
Publisher: Academic Press
Release Date : 2018-09-12
Connectomics written by Brent C. Munsell and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-12 with Computers categories.
Connectomics: Applications to Neuroimaging is unique in presenting the frontier of neuro-applications using brain connectomics techniques. The book describes state-of-the-art research that applies brain connectivity analysis techniques to a broad range of neurological and psychiatric disorders (Alzheimer's, epilepsy, stroke, autism, Parkinson's, drug or alcohol addiction, depression, bipolar, and schizophrenia), brain fingerprint applications, speech-language assessments, and cognitive assessment. With this book the reader will learn: Basic mathematical principles underlying connectomics How connectomics is applied to a wide range of neuro-applications What is the future direction of connectomics techniques. This book is an ideal reference for researchers and graduate students in computer science, data science, computational neuroscience, computational physics, or mathematics who need to understand how computational models derived from brain connectivity data are being used in clinical applications, as well as neuroscientists and medical researchers wanting an overview of the technical methods. Features: Combines connectomics methods with relevant and interesting neuro-applications Covers most of the hot topics in neuroscience and clinical areas Appeals to researchers in a wide range of disciplines: computer science, engineering, data science, mathematics, computational physics, computational neuroscience, as well as neuroscience, and medical researchers interested in the technical methods of connectomics
Reinforcement Learning
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Author : Richard S. Sutton
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Reinforcement Learning written by Richard S. Sutton 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 2012-12-06 with Computers categories.
Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward or reinforcement signal. The learner is not told which action to take, as in most forms of machine learning, but instead must discover which actions yield the highest reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation, and through that all subsequent rewards. These two characteristics -- trial-and-error search and delayed reward -- are the most important distinguishing features of reinforcement learning. Reinforcement learning is both a new and a very old topic in AI. The term appears to have been coined by Minsk (1961), and independently in control theory by Walz and Fu (1965). The earliest machine learning research now viewed as directly relevant was Samuel's (1959) checker player, which used temporal-difference learning to manage delayed reward much as it is used today. Of course learning and reinforcement have been studied in psychology for almost a century, and that work has had a very strong impact on the AI/engineering work. One could in fact consider all of reinforcement learning to be simply the reverse engineering of certain psychological learning processes (e.g. operant conditioning and secondary reinforcement). Reinforcement Learning is an edited volume of original research, comprising seven invited contributions by leading researchers.