Interdisciplinary Advances in Affective Cognition
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Cognitive Science 1
Cognitive Science 1 • Linguistics, Minor (https://e-catalogue.jhu.edu/arts-sciences/full- COGNITIVE SCIENCE time-residential-programs/degree-programs/cognitive-science/ linguistics-minor/) http://www.cogsci.jhu.edu For current course information and registration go to https://sis.jhu.edu/ Cognitive science is the study of the human mind and brain, focusing on classes/ how the mind represents and manipulates knowledge and how mental representations and processes are realized in the brain. Conceiving of the mind as an abstract computing device instantiated in the brain, Courses cognitive scientists endeavor to understand the mental computations AS.050.102. Language and Mind. 3 Credits. underlying cognitive functioning and how these computations are Introductory course dealing with theory, methods, and current research implemented by neural tissue. Cognitive science has emerged at the topics in the study of language as a component of the mind. What it is interface of several disciplines. Central among these are cognitive to "know" a language: components of linguistic knowledge (phonetics, psychology, linguistics, and portions of computer science and artificial phonology, morphology, syntax, semantics) and the course of language intelligence; other important components derive from work in the acquisition. How linguistic knowledge is put to use: language and the neurosciences, philosophy, and anthropology. This diverse ancestry brain and linguistic processing in various domains. has brought into cognitive science several different perspectives and Area: Natural Sciences, Social and Behavioral Sciences methodologies. Cognitive scientists endeavor to unite such varieties AS.050.105. Introduction to Cognitive Neuropsychology. 3 Credits. of perspectives around the central goal of characterizing the structure When the brain is damaged or fails to develop normally, even the most of human intellectual functioning. -
Tor Wager Diana L
Tor Wager Diana L. Taylor Distinguished Professor of Psychological and Brain Sciences Dartmouth College Email: [email protected] https://wagerlab.colorado.edu Last Updated: July, 2019 Executive summary ● Appointments: Faculty since 2004, starting as Assistant Professor at Columbia University. Associate Professor in 2009, moved to University of Colorado, Boulder in 2010; Professor since 2014. 2019-Present: Diana L. Taylor Distinguished Professor of Psychological and Brain Sciences at Dartmouth College. ● Publications: 240 publications with >50,000 total citations (Google Scholar), 11 papers cited over 1000 times. H-index = 79. Journals include Science, Nature, New England Journal of Medicine, Nature Neuroscience, Neuron, Nature Methods, PNAS, Psychological Science, PLoS Biology, Trends in Cognitive Sciences, Nature Reviews Neuroscience, Nature Reviews Neurology, Nature Medicine, Journal of Neuroscience. ● Funding: Currently principal investigator on 3 NIH R01s, and co-investigator on other collaborative grants. Past funding sources include NIH, NSF, Army Research Institute, Templeton Foundation, DoD. P.I. on 4 R01s, 1 R21, 1 RC1, 1 NSF. ● Awards: Awards include NSF Graduate Fellowship, MacLean Award from American Psychosomatic Society, Colorado Faculty Research Award, “Rising Star” from American Psychological Society, Cognitive Neuroscience Society Young Investigator Award, Web of Science “Highly Cited Researcher”, Fellow of American Psychological Society. Two patents on research products. ● Outreach: >300 invited talks at universities/international conferences since 2005. Invited talks in Psychology, Neuroscience, Cognitive Science, Psychiatry, Neurology, Anesthesiology, Radiology, Medical Anthropology, Marketing, and others. Media outreach: Featured in New York Times, The Economist, NPR (Science Friday and Radiolab), CBS Evening News, PBS special on healing, BBC, BBC Horizons, Fox News, 60 Minutes, others. -
Reliability in Cognitive Neuroscience: a Meta-Meta-Analysis Books Written by William R
Reliability in Cognitive Neuroscience: A Meta-Meta-Analysis Books Written by William R. Uttal Real Time Computers: Techniques and Applications in the Psychological Sciences Generative Computer Assisted Instruction (with Miriam Rogers, Ramelle Hieronymus, and Timothy Pasich) Sensory Coding: Selected Readings (Editor) The Psychobiology of Sensory Coding Cellular Neurophysiology and Integration: An Interpretive Introduction. An Autocorrelation Theory of Form Detection The Psychobiology of Mind A Taxonomy of Visual Processes Visual Form Detection in 3-Dimensional Space Foundations of Psychobiology (with Daniel N. Robinson) The Detection of Nonplanar Surfaces in Visual Space The Perception of Dotted Forms On Seeing Forms The Swimmer: An Integrated Computational Model of a Perceptual-Motor System (with Gary Bradshaw, Sriram Dayanand, Robb Lovell, Thomas Shepherd, Ramakrishna Kakarala, Kurt Skifsted, and Greg Tupper) Toward A New Behaviorism: The Case against Perceptual Reductionism Computational Modeling of Vision: The Role of Combination (with Ramakrishna Kakarala, Sriram Dayanand, Thomas Shepherd, Jaggi Kalki, Charles Lunskis Jr., and Ning Liu) The War between Mentalism and Behaviorism: On the Accessibility of Mental Processes The New Phrenology: On the Localization of Cognitive Processes in the Brain A Behaviorist Looks at Form Recognition Psychomyths: Sources of Artifacts and Misrepresentations in Scientifi c Cognitive neuroscience Dualism: The Original Sin of Cognitivism Neural Theories of Mind: Why the Mind-Brain Problem May Never Be Solved Human Factors in the Courtroom: Mythology versus Science The Immeasurable Mind: The Real Science of Psychology Time, Space, and Number in Physics and Psychology Distributed Neural Systems: Beyond the New Phrenology Neuroscience in the Courtroom: What Every Lawyer Should Know about the Mind and the Brain Mind and Brain: A Critical Appraisal of Cognitive Neuroscience Reliability in Cognitive Neuroscience: A Meta-Meta-Analysis Reliability in Cognitive Neuroscience: A Meta-Meta-Analysis William R. -
The Place of Modeling in Cognitive Science
The place of modeling in cognitive science James L. McClelland Department of Psychology and Center for Mind, Brain, and Computation Stanford University James L. McClelland Department of Psychology Stanford University Stanford, CA 94305 650-736-4278 (v) / 650-725-5699 (f) [email protected] Running Head: Modeling in cognitive science Keywords: Modeling frameworks, computer simulation, connectionist models, Bayesian approaches, dynamical systems, symbolic models of cognition, hybrid models, cognitive architectures Abstract I consider the role of cognitive modeling in cognitive science. Modeling, and the computers that enable it, are central to the field, but the role of modeling is often misunderstood. Models are not intended to capture fully the processes they attempt to elucidate. Rather, they are explorations of ideas about the nature of cognitive processes. As explorations, simplification is essential – it is only through simplification that we can fully understand the implications of the ideas. This is not to say that simplification has no downsides; it does, and these are discussed. I then consider several contemporary frameworks for cognitive modeling, stressing the idea that each framework is useful in its own particular ways. Increases in computer power (by a factor of about 4 million) since 1958 have enabled new modeling paradigms to emerge, but these also depend on new ways of thinking. Will new paradigms emerge again with the next 1,000-fold increase? 1. Introduction With the inauguration of a new journal for cognitive science, thirty years after the first meeting of the Cognitive Science Society, it seems essential to consider the role of computational modeling in our discipline. -
Chapter 1: the Science of Psychology Module 1: Psychology’S Domains Early Leaders and Approaches in the Study of Psychology
Chapter 1: The Science of Psychology Module 1: Psychology’s Domains Early Leaders and Approaches in the Study of Psychology "Speaking of fruitcakes, any plans for the holidays?" Wilhelm Wundt (1832-1920) “the father of psychology” Structuralism “What are the pieces that make up thinking and experience?” To apply scientific principles for study of human mind and behavior, establishes first laboratory in Germany,1879. Proposed School of Structuralism: approach of psychology that mind consists of three basic elements – sensations, feelings, and images. Believed brain was made of up of nonphysical elements – thoughts, emotions, experiences, feelings, etc. Subjects required to look inward (introspection) to describe their emotions or feelings. William James (1842-1910) Harvard professor; pioneer of American psychology. Functionalism Consciousness – awareness - is a stream of ever- changing thoughts; impossible to break it down into individual elements. Most interested how humans function (School of Functionalism Psychology) and adapt to and organize their environment. Thinking developed because it is adaptive. Adaptive behaviors become habits: the “To the infant the world is “flywheel of society.” just a big, booming, buzzing confusion.” Like physical traits, useful behavioral traits could be passed to future generations. Gestalt Germany, 1930s School of Gestalt Psychology: emphasizing how we organize information wholes and integrate separate stimuli into meaningful patterns. Focus on perception – the organization and interpretation of stimuli received and within its context on how it influences behavior and problem solving. “Perceptions are more than the sum of their parts.” Sigmund Freud (1856-1939) Psychoanalysis Austrian, develops first complex personality theory. School of Psychoanalysis Psychology: importance of unconscious motives and conflicts as determinants of human behavior. -
Cognitive Psychology
COGNITIVE PSYCHOLOGY PSYCH 126 Acknowledgements College of the Canyons would like to extend appreciation to the following people and organizations for allowing this textbook to be created: California Community Colleges Chancellor’s Office Chancellor Diane Van Hook Santa Clarita Community College District College of the Canyons Distance Learning Office In providing content for this textbook, the following professionals were invaluable: Mehgan Andrade, who was the major contributor and compiler of this work and Neil Walker, without whose help the book could not have been completed. Special Thank You to Trudi Radtke for editing, formatting, readability, and aesthetics. The contents of this textbook were developed under the Title V grant from the Department of Education (Award #P031S140092). However, those contents do not necessarily represent the policy of the Department of Education, and you should not assume endorsement by the Federal Government. Unless otherwise noted, the content in this textbook is licensed under CC BY 4.0 Table of Contents Psychology .................................................................................................................................................... 1 126 ................................................................................................................................................................ 1 Chapter 1 - History of Cognitive Psychology ............................................................................................. 7 Definition of Cognitive Psychology -
1 Automated Face Analysis for Affective Computing Jeffrey F. Cohn & Fernando De La Torre Abstract Facial Expression
Please do not quote. In press, Handbook of affective computing. New York, NY: Oxford Automated Face Analysis for Affective Computing Jeffrey F. Cohn & Fernando De la Torre Abstract Facial expression communicates emotion, intention, and physical state, and regulates interpersonal behavior. Automated Face Analysis (AFA) for detection, synthesis, and understanding of facial expression is a vital focus of basic research. While open research questions remain, the field has become sufficiently mature to support initial applications in a variety of areas. We review 1) human-observer based approaches to measurement that inform AFA; 2) advances in face detection and tracking, feature extraction, registration, and supervised learning; and 3) applications in action unit and intensity detection, physical pain, psychological distress and depression, detection of deception, interpersonal coordination, expression transfer, and other applications. We consider user-in-the-loop as well as fully automated systems and discuss open questions in basic and applied research. Keywords Automated Face Analysis and Synthesis, Facial Action Coding System (FACS), Continuous Measurement, Emotion, Nonverbal Communication, Synchrony 1. Introduction The face conveys information about a person’s age, sex, background, and identity, what they are feeling, or thinking (Darwin, 1872/1998; Ekman & Rosenberg, 2005). Facial expression regulates face-to-face interactions, indicates reciprocity and interpersonal attraction or repulsion, and enables inter-subjectivity between members of different cultures (Bråten, 2006; Fridlund, 1994; Tronick, 1989). Facial expression reveals comparative evolution, social and emotional development, neurological and psychiatric functioning, and personality processes (Burrows & Cohn, In press; Campos, Barrett, Lamb, Goldsmith, & Stenberg, 1983; Girard, Cohn, Mahoor, Mavadati, & Rosenwald, 2013; Schmidt & Cohn, 2001). Not surprisingly, the face has been of keen interest to behavioral scientists. -
Author: Edwin Hutchins Title: Cognitive Ecology Affiliation: Department of Cognitive Science, University of California San Dieg
Author: Edwin Hutchins Title: Cognitive Ecology Affiliation: Department of Cognitive Science, University of California San Diego Tel: 858 534-1134 Fax: 858 822-2476 email: [email protected] Running Head: Cognitive Ecology Abstract: Cognitive ecology is the study of cognitive phenomena in context. In particular, it points to the web of mutual dependence among the elements of a cognitive ecosystem. At least three fields were taking a deeply ecological approach to cognition thirty years ago: Gibson’s ecological psychology, Bateson’s ecology of mind, and Soviet cultural-historical activity theory. The ideas developed in those projects have now found a place in modern views of embodied, situated, distributed cognition. As cognitive theory continues to shift from units of analysis defined by inherent properties of the elements to units defined in terms of dynamic patterns of correlation across elements, the study of cognitive ecosystems will become an increasingly important part of cognitive science. Keywords: units of analysis for cognition, ecological psychology, ecology of mind, activity theory, embodied cognition, situated cognition, distributed cognition, brain-body-world systems, human culture. Cognitive Ecology Choosing units of analysis for cognition Cognitive ecology is the study of cognitive phenomena in context. Elements of cognitive ecology have been present in various corners, but not the core, of cognitive science since the birth of the field. It is now being rediscovered as cognitive science shifts from viewing cognition as a logical process to seeing it as a biological phenomenon. Everything is connected to everything else. Fortunately, not all connectivity is equally dense. The non- uniformity of connectivity makes science possible. -
INSIDE (2) an Unwarranted Presumption, Which Results in Some Very Serious The- 11 New Membership Dr
P SYCHOLOGYOF R ELIGION A N M IO E T R A I CI CA O N SS PS A YCHOLOGICAL MERICAN SYCHOLOGICAL SSOCIATION OLUME O DI 6 A P A V 32 N 1 VISION 3 EWSLETTER N WINTER 2006–2007 2006 GORMAN AWARD RELIGIONS INFLUENCE WORLDVIEWS; WORLDVIEWS ADDRESS INFLUENCE BEHAVIOR: A MODEL WITH RESEARCH AGENDA MARKE.KOLTKO-RIVERA Professional Services Group, Inc., Winter Park, Florida n emerging trend in public discourse is a renewal of interest in psychological explana- Ations of the phenomenon of religion. I shall point out some problems with that trend, one of which is that it diverts attention from a more interesting issue: religious explana- tions of psychology (i.e., how religion influences individual and social psychological phe- nomena). I shall focus upon this more interesting issue, and how it might be addressed through the use of the construct of Weltanschauung, or worldview. It has been asserted that “within the psychology of religion, the cry for good theory remains at the level of cacophony” (Spilka, Hood, Hunsberger, & Gorsuch, 2003, p. 539). My ambition here is to answer that cry in a useful way. I shall conclude with some suggestions for research. The Revival of Psychological Explanations of Religion Mark E. Koltko-Rivera In recent years, one may have noticed a resurgence of interest in a venerable question: on a fundamental level, how might we explain religion and religious phenomena? In other words, why does religion exist? Two relatively new ways of addressing this question have come into prominence. One involves neuropsychology, and looks at the neurobiological manifestations of religion, belief, and transcendent experience (e.g., Faber, 2004; Har- rington & Zajonc, 2006; McNamara, 2006; Tremlin, 2006; see also Monastersky, 2006). -
The Rising Field of Bioinformatics
Serena Hughes Case Study Spring 2019 The Rising Field of Bioinformatics Overview. Bioinformatics is an up-and-coming field within the intersection of biology and computer science. Biology and computer science were initially thought of separately, but with technological advances it soon became clear that there was an overlap where computer science algorithms could be used to further biological discoveries and biological systems could be used as a basis for computational models. The growth of research combining the two has led to the recent growth of the field of bioinformatics. Currently, bioinformatics is still relatively small, often housed as a specialization of biology, computer science, or other departments at universities. In 2009, only approximately 17% of bioinformatics programs were part of a bioinformatics department, with most programs being housed under biology or biomedical departments.[7] While it has been ten years since this data was collected, even in 2018 U.S. News’ ranking of bioinformatics programs included only 6 schools total.[11] Bioinformatics is a small and growing field, so the importance of the organization of bioinformatics is also growing. What is Being Organized? Bioinformatics has become increasingly interdisciplinary as it has grown, building on other scientific and mathematical fields. These subfields and the types of research they enable are the resources being organized. In organizing these resources, we will shed light on the structure of the field of bioinformatics as a whole. Why is it Being Organized? The term “bioinformatics” has been in use since the 1970s. Around that time, bioinformatics was “defined as the study of informatic processes in biotic systems”. -
Research on the Strategy of E-Commerce Teaching Reform Based on Brain Cognition
KURAM VE UYGULAMADA EĞİTİM BİLİMLERİ EDUCATIONAL SCIENCES: THEORY & PRACTICE Received: November 2, 2017 Revision received: April 12, 2018 Copyright © 2018 EDAM Accepted: April 23, 2018 www.estp.com.tr DOI 10.12738/estp.2018.5.063 ⬧ October 2018 ⬧ 18(5) ⬧ 1637-1646 Research Article Research on the Strategy of E-commerce Teaching Reform Based on Brain Cognition 1 2 Ronggang Zhang Xiaheng Zhang Northwest University of Political Northwest University of Political Science and Law Science and Law Abstract The rapid development of brain science and cognitive science and the demand of education and teaching reform urge the development of brain-based education movement. With e-commerce teaching reform strategy as the research target, and literature analysis method, case teaching method and questionnaire as research methods, this paper constructs the teaching design pattern based on brain cognition of the course of Introduction to E- Commerce on the basis of the detailed analysis of teaching principle based on brain, teaching theory related to brain and theories related to teaching design, taking the course of Introduction to E-Commerce in colleges and universities as an example. The investigation and analysis of the course implementation and teaching effect verify that the teaching design pattern of e-commerce course based on brain cognition can promote students' interest in learning and knowledge mastery, providing a new teaching mode to be referred for e-commerce teaching reform. Keywords Brain Science • E-commerce Teaching • Teaching Elements • Teaching Design _______________________________________________ 1 Correspondence to: Ronggang Zhang (PhD), Business School, Northwest University of Political Science and Law, Xi’an710122, China. Email: [email protected] 2 Business School, Northwest University of Political Science and Law, Xi’an710122, China. -
The Cognitive Revolution: a Historical Perspective
Review TRENDS in Cognitive Sciences Vol.7 No.3 March 2003 141 The cognitive revolution: a historical perspective George A. Miller Department of Psychology, Princeton University, 1-S-5 Green Hall, Princeton, NJ 08544, USA Cognitive science is a child of the 1950s, the product of the time I went to graduate school at Harvard in the early a time when psychology, anthropology and linguistics 1940s the transformation was complete. I was educated to were redefining themselves and computer science and study behavior and I learned to translate my ideas into the neuroscience as disciplines were coming into existence. new jargon of behaviorism. As I was most interested in Psychology could not participate in the cognitive speech and hearing, the translation sometimes became revolution until it had freed itself from behaviorism, tricky. But one’s reputation as a scientist could depend on thus restoring cognition to scientific respectability. By how well the trick was played. then, it was becoming clear in several disciplines that In 1951, I published Language and Communication [1], the solution to some of their problems depended cru- a book that grew out of four years of teaching a course at cially on solving problems traditionally allocated to Harvard entitled ‘The Psychology of Language’. In the other disciplines. Collaboration was called for: this is a preface, I wrote: ‘The bias is behavioristic – not fanatically personal account of how it came about. behavioristic, but certainly tainted by a preference. There does not seem to be a more scientific kind of bias, or, if there is, it turns out to be behaviorism after all.’ As I read that Anybody can make history.