Joint Models Of Neural And Behavioral Data

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Joint Models of Neural and Behavioral Data

Author : Brandon M. Turner
Publisher : Springer
ISBN 13 : 303003688X
Total Pages : 109 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Joint Models of Neural and Behavioral Data by : Brandon M. Turner

Download or read book Joint Models of Neural and Behavioral Data written by Brandon M. Turner and published by Springer. This book was released on 2019-01-04 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a flexible Bayesian framework for combining neural and cognitive models. Traditionally, studies in cognition and cognitive sciences have been done by either observing behavior (e.g., response times, percentage correct, etc.) or by observing neural activity (e.g., the BOLD response). These two types of observations have traditionally supported two separate lines of study, which are led by two different cognitive modelers. Joining neuroimaging and computational modeling in a single hierarchical framework allows the neural data to influence the parameters of the cognitive model and allows behavioral data to constrain the neural model. This Bayesian approach can be used to reveal interactions between behavioral and neural parameters, and ultimately, between neural activity and cognitive mechanisms. Chapters demonstrate the utility of this Bayesian model with a variety of applications, and feature a tutorial chapter where the methods can be applied to an example problem. The book also discusses other joint modeling approaches and future directions. Joint Models of Neural and Behavioral Data will be of interest to advanced graduate students and postdoctoral candidates in an academic setting as well as researchers in the fields of cognitive psychology and neuroscience.

An Introduction to Model-Based Cognitive Neuroscience

Author : Birte U. Forstmann
Publisher : Springer Nature
ISBN 13 : 3031452712
Total Pages : 384 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis An Introduction to Model-Based Cognitive Neuroscience by : Birte U. Forstmann

Download or read book An Introduction to Model-Based Cognitive Neuroscience written by Birte U. Forstmann and published by Springer Nature. This book was released on with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Modeling of Cognition and Behavior

Author : Simon Farrell
Publisher : Cambridge University Press
ISBN 13 : 1108547141
Total Pages : 485 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Computational Modeling of Cognition and Behavior by : Simon Farrell

Download or read book Computational Modeling of Cognition and Behavior written by Simon Farrell and published by Cambridge University Press. This book was released on 2018-02-22 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained.

Computational and Network Modeling of Neuroimaging Data

Author : Kendrick Kay
Publisher : Elsevier
ISBN 13 : 0443134812
Total Pages : 356 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Computational and Network Modeling of Neuroimaging Data by : Kendrick Kay

Download or read book Computational and Network Modeling of Neuroimaging Data written by Kendrick Kay and published by Elsevier. This book was released on 2024-06-17 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuroimaging is witnessing a massive increase in the quality and quantity of data being acquired. It is widely recognized that effective interpretation and extraction of information from such data requires quantitative modeling. However, modeling comes in many diverse forms, with different research communities tackling different brain systems, different spatial and temporal scales, and different aspects of brain structure and function. Computational and Network Modeling of Neuroimaging Data provides an authoritative and comprehensive overview of the many diverse modeling approaches that have been fruitfully applied to neuroimaging data. This book gives an accessible foundation to the field of computational and network modeling of neuroimaging data and is suitable for graduate students, academic researchers, and industry practitioners who are interested in adopting or applying model-based approaches in neuroimaging. - Provides an authoritative and comprehensive overview of major modeling approaches to neuroimaging data - Written by experts, the book's chapters use a common structure to introduce, motivate, and describe a specific modeling approach used in neuroimaging - Gives insights into the similarities and differences across different modeling approaches - Analyses details of outstanding research challenges in the field

Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119170125
Total Pages : 848 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology by :

Download or read book Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology written by and published by John Wiley & Sons. This book was released on 2018-03-13 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: V. Methodology: E. J. Wagenmakers (Volume Editor) Topics covered include methods and models in categorization; cultural consensus theory; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning; convergent methods of memory research; theories for discriminating signal from noise; bayesian cognitive modeling; mathematical modeling in cognition and cognitive neuroscience; the stop-signal paradigm; hypothesis testing and statistical inference; model comparison in psychology; fmri; neural recordings; open science; neural networks and neurocomputational modeling; serial versus parallel processing; methods in psychophysics.

A Handbook of Process Tracing Methods

Author : Michael Schulte-Mecklenbeck
Publisher : Routledge
ISBN 13 : 1351662767
Total Pages : 409 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis A Handbook of Process Tracing Methods by : Michael Schulte-Mecklenbeck

Download or read book A Handbook of Process Tracing Methods written by Michael Schulte-Mecklenbeck and published by Routledge. This book was released on 2019-06-10 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Handbook of Process Tracing Methods demonstrates how to better understand decision outcomes by studying decision processes, through the introduction of a number of exciting techniques. Decades of research have identified numerous idiosyncrasies in human decision behavior, but some of the most recent advances in the scientific study of decision making involve the development of sophisticated methods for understanding decision process—known as process tracing. In this volume, leading experts discuss the application of these methods and focus on the best practices for using some of the more popular techniques, discussing how to incorporate them into formal decision models. This edition has been expanded and thoroughly updated throughout, and now includes new chapters on mouse tracking, protocol analysis, neurocognitive methods, the measurement of valuation, as well as an overview of important software packages. The volume not only surveys cutting-edge research to illustrate the great variety in process tracing techniques, but also serves as a tutorial for how the novice researcher might implement these methods. A Handbook of Process Tracing Methods will be an essential read for all students and researchers of decision making.

New Handbook of Mathematical Psychology: Volume 3, Perceptual and Cognitive Processes

Author : F. Gregory Ashby
Publisher : Cambridge University Press
ISBN 13 : 1108905099
Total Pages : 575 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis New Handbook of Mathematical Psychology: Volume 3, Perceptual and Cognitive Processes by : F. Gregory Ashby

Download or read book New Handbook of Mathematical Psychology: Volume 3, Perceptual and Cognitive Processes written by F. Gregory Ashby and published by Cambridge University Press. This book was released on 2023-03-31 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have since expanded to include new areas of research, and significant advances have been made both in traditional psychological domains and in the applications of the computational sciences to psychology. Upholding the rigor of the original Handbook, the New Handbook of Mathematical Psychology reflects the current state of the field by exploring the mathematical and computational foundations of new developments over the last half-century. The third volume provides up-to-date, foundational chapters on early vision, psychophysics and scaling, multisensory integration, learning and memory, cognitive control, approximate Bayesian computation, and encoding models in neuroimaging.

Computational Models of Brain and Behavior

Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
ISBN 13 : 1119159180
Total Pages : 845 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Computational Models of Brain and Behavior by : Ahmed A. Moustafa

Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-09-18 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

Digital Therapeutics

Author : Oleksandr Sverdlov
Publisher : CRC Press
ISBN 13 : 1000799239
Total Pages : 462 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Digital Therapeutics by : Oleksandr Sverdlov

Download or read book Digital Therapeutics written by Oleksandr Sverdlov and published by CRC Press. This book was released on 2022-12-06 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the hallmarks of the 21st century medicine is the emergence of digital therapeutics (DTx)—evidence-based, clinically validated digital technologies to prevent, diagnose, treat, and manage various diseases and medical conditions. DTx solutions have been gaining interest from patients, investors, healthcare providers, health authorities, and other stakeholders because of the potential of DTx to deliver equitable, massively scalable, personalized and transformative treatments for different unmet medical needs. Digital Therapeutics: Scientific, Statistical, Clinical, and Regulatory Aspects is an unparalleled summary of the current scientific, statistical, developmental, and regulatory aspects of DTx which is poised to become the fastest growing area of the biopharmaceutical and digital medicine product development. This edited volume intends to provide a systematic exposition to digital therapeutics through 19 peer-reviewed chapters written by subject matter experts in this emerging field. This edited volume is an invaluable resource for business leaders and researchers working in public health, healthcare, digital health, information technology, and biopharmaceutical industries. It will be also useful for regulatory scientists involved in the review of DTx products, and for faculty and students involved in an interdisciplinary research on digital health and digital medicine. Key Features: Provides the taxonomy of the concepts and a navigation tool for the field of DTx. Covers important strategic aspects of the DTx industry, thereby helping investors, developers, and regulators gain a better appreciation of the potential value of DTx. Expounds on many existing and emerging state-of-the art scientific and technological tools, as well as data privacy, ethical and regulatory considerations for DTx product development. Presents several case studies of successful development of some of the most remarkable DTx products. Provides some perspectives and forward-looking statements on the future of digital medicine.

The Psychology of Learning and Motivation

Author : Kara D. Federmeier
Publisher : Academic Press
ISBN 13 : 0323850731
Total Pages : 328 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis The Psychology of Learning and Motivation by : Kara D. Federmeier

Download or read book The Psychology of Learning and Motivation written by Kara D. Federmeier and published by Academic Press. This book was released on 2021-05-30 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Psychology of Learning and Motivation, Volume 74, the latest release in this ongoing series, features empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving. - Presents the latest information in the highly regarded Psychology of Learning and Motivation series - Provides an essential reference for researchers and academics in cognitive science - Contains information relevant to both applied concerns and basic research

Introduction to Neural and Cognitive Modeling

Author : Daniel S. Levine
Publisher : Routledge
ISBN 13 : 0429828802
Total Pages : 480 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Introduction to Neural and Cognitive Modeling by : Daniel S. Levine

Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Routledge. This book was released on 2018-10-26 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a general introduction to the field of neural networks. Thoroughly revised and updated from the previous editions of 1991 and 2000, the current edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part one explores the philosophy of modeling and the field’s history starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part two of the book reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions. The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.

A Directed Joint Model of FMRI Network and Response Time Data

Author : Seo Wook Choi
Publisher :
ISBN 13 :
Total Pages : 137 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis A Directed Joint Model of FMRI Network and Response Time Data by : Seo Wook Choi

Download or read book A Directed Joint Model of FMRI Network and Response Time Data written by Seo Wook Choi and published by . This book was released on 2020 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most important and exciting areas of research in cognitive neuroscience is dedicated to determining how different areas of the brain are connected and how interactions between those areas determine behavior. Model-based cognitive neuroscience uses statistical structures to test theories about the relationships between brain and behaviors (Forstmann & Wagenmakers, 2015). This thesis will build on current theories in two ways. First, I will use techniques of inferential network analysis to quantify connections across different brain regions. Second, I will use the network analysis parameters as covariates in a cognitive model that predicts the behavioral variables of accuracy and response time. The result is a hierarchical Bayesian model composed of both neural and behavioral submodels. I perform a parameter recovery study on simulated data, then apply the model to data from three different tasks: a language/math task (Binder et al., 2011), an emotion processing task (Hariri, Tessitore, Mattay, Fera, &Weinberger, 2002) and a relational processing task (R. Smith, Keramatian, & Christoff, 2007). I also conduct a model comparison study that demonstrates that the model with both sub-components fits data better than a model with behavioral components alone. While Study 1 and Study 2 show a successful contribution of the neural component, Study 3 does not show such a contribution.

Computational Modeling of Cognition and Behavior

Author : Simon Farrell
Publisher : Cambridge University Press
ISBN 13 : 110710999X
Total Pages : 485 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Computational Modeling of Cognition and Behavior by : Simon Farrell

Probabilistic Perspectives on Brain (dys)Function

Author : Karl Friston
Publisher : Frontiers Media SA
ISBN 13 : 2889711285
Total Pages : 172 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Probabilistic Perspectives on Brain (dys)Function by : Karl Friston

Download or read book Probabilistic Perspectives on Brain (dys)Function written by Karl Friston and published by Frontiers Media SA. This book was released on 2021-08-02 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:

ECAI 2020

Author : G. De Giacomo
Publisher : IOS Press
ISBN 13 : 164368101X
Total Pages : 3122 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis ECAI 2020 by : G. De Giacomo

Download or read book ECAI 2020 written by G. De Giacomo and published by IOS Press. This book was released on 2020-09-11 with total page 3122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

The Sage Handbook of Cognitive and Systems Neuroscience

Author : Gregory J. Boyle
Publisher : SAGE Publications Limited
ISBN 13 : 1529616581
Total Pages : 832 pages
Book Rating : 4.5/5 (296 download)

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Book Synopsis The Sage Handbook of Cognitive and Systems Neuroscience by : Gregory J. Boyle

Download or read book The Sage Handbook of Cognitive and Systems Neuroscience written by Gregory J. Boyle and published by SAGE Publications Limited. This book was released on 2023-11-08 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive neuroscience is the interdisciplinary study of how cognitive and intellectual functions are processed and represented within the brain, which is critical to building understanding of core psychological and behavioural processes such as learning, memory, behaviour, perception, and consciousness. Understanding these processes not only offers relevant fundamental insights into brain-behavioural relations, but may also lead to actionable knowledge that can be applied in the clinical treatment of patients with various brain-related disabilities. This Handbook focusses on the foundational principles, methods, and underlying systems in cognitive and systems neuroscience, as well as examining cutting-edge methodological advances and innovations. Containing 34 original, state of the art contributions from leading experts in the field, this Handbook is essential reading for researchers and students of cognitive psychology, as well as scholars across the fields of neuroscientific, behavioural and health sciences. Part 1: Background Considerations Part 2: Neuroscientific Substrates and Principles Part 3: Neuroanatomical Brain Systems Part 4: Neural Dynamics and Processes Part 5: Sensory-Perceptual Systems and Cognition Part 6: Methodological Advances

Neural Network Models of Cognition

Author : J.W. Donahoe
Publisher : Elsevier
ISBN 13 : 0080537367
Total Pages : 601 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Neural Network Models of Cognition by : J.W. Donahoe

Download or read book Neural Network Models of Cognition written by J.W. Donahoe and published by Elsevier. This book was released on 1997-09-26 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: This internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral neuroscience as population genetics for evolutionary science. The volume is divided into six sections, each of which includes both experimental and simulation research: (1) neurodevelopment and genetic algorithms, (2) synaptic plasticity (LTP), (3) sensory/hippocampal systems, (4) motor systems, (5) plasticity in large neural systems (reinforcement learning), and (6) neural imaging and language. The volume also includes an integrated reference section and a comprehensive index.