Implicit Memory: a Commentary
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The Unconscious Mind: Kinder and Gentler Than That
3/20/2013 The Freudian 20th Century “Freud in 21st-Century America” The Unconscious Mind: Kinder and Gentler Than That John F. Kihlstrom Forbidden Planet (1956) Department of Psychology University of California, Berkeley 1 2 The Discovery of the Unconscious Petites Perceptions Ellenberger (1970) Leibniz (1704/1981); Ellenberger (1970) • At every moment there is in us an infinity of perceptions, unaccompanied by awareness or reflection…. That is why we are never indifferent, even when we appear to be most so…. The choice that we make arises from these insensible stimuli, which… make us find one direction of movement more comfortable than the 3 other. 4 The Limen Unconscious Inferences Herbart (1819) Helmholtz (1866/1968) • One of the older ideas can… be • The psychic activities that lead us to infer that completely driven out of consciousness by there in front of us at a certain place there is a a new much weaker idea. On the other certain object of a certain character, are generally hand its pressure there is not to be not conscious activities, but unconscious ones. In regarded as without effect; rather it works their result they are the equivalent to conclusion…. with full power against the ideas which are But what seems to differentiate them from a conclusion, in the ordinary sense of that word, is present in consciousness. It thus causes that a conclusion is an act of conscious thought…. a particular state of consciousness, though Still it may be permissible to speak of the psychic its object is in no sense really imagined. acts of ordinary perception as unconscious 5 conclusions…. -
Implicit and Explicit Knowledge About Language
Comp. by: TPrasath Date:27/12/06 Time:22:59:29 Stage:First Proof File Path:// spiina1001z/womat/production/PRODENV/0000000005/0000001817/0000000016/ 0000233189.3D Proof by: QC by: NICK ELLIS IMPLICIT AND EXPLICIT KNOWLEDGE ABOUT LANGUAGE INTRODUCTION Children acquire their first language (L1) by engaging with their caretakers in natural meaningful communication. From this “evidence” they automatically acquire complex knowledge of the structure of their language. Yet paradoxically they cannot describe this knowledge, the discovery of which forms the object of the disciplines of theoretical lin- guistics, psycholinguistics, and child language acquisition. This is a difference between explicit and implicit knowledge—ask a young child how to form a plural and she says she does not know; ask her “here is a wug, here is another wug, what have you got?” and she is able to reply, “two wugs.” The acquisition of L1 grammar is implicit and is extracted from experience of usage rather than from explicit rules—simple expo- sure o normal linguistic input suffices and no explicit instruction is needed. Adult acquisition of second language (L2) is a different matter in that what can be acquired implicitly from communicative contexts is typically quite limited in comparison to native speaker norms, and adult attainment of L2 accuracy usually requires additional resources of explicit learning. The various roles of consciousness in second language acquisi- tion (SLA) include: the learner noticing negative evidence; their attending to language form, their perception focused by social scaffolding or explicit instruction; their voluntary use of pedagogical grammatical descriptions and analogical reasoning; their reflective induction of metalinguistic insights about language; and their consciously guided practice which results, eventually, in unconscious, automatized skill. -
Implicit and Explicit Learning of Languages Patrick Rebuschat
Introduction: Implicit and explicit learning of languages Patrick Rebuschat (Lancaster University) Introduction to the forthcoming volume: Rebuschat, P. (Ed.) (in press, 2015). Implicit and explicit learning of languages. Amsterdam: John Benjamins. Implicit learning, essentially the process of acquiring unconscious (implicit) knowledge, is a fundamental feature of human cognition (Cleeremans, Destrebecqz, & Boyer, 1998; Dienes, 2012; Perruchet, 2008; Shanks, 2005; Reber, 1993). Many complex behaviors, including language comprehension and production (Berry & Dienes, 1993; Winter & Reber, 1994), music cognition (Rohrmeier & Rebuschat, 2012), intuitive decision making (Plessner, Betsch, & Betsch, 2008), and social interaction (Lewicki, 1986), are thought to be largely dependent on implicit knowledge. The term implicit learning was first used by Arthur Reber (1967) to describe a process during which subjects acquire knowledge about a complex, rule-governed stimulus environment without intending to and without becoming aware of the knowledge they have acquired. In contrast, the term explicit learning refers to a process during which participants acquire conscious (explicit) knowledge; this is generally associated with intentional learning conditions, e.g., when participants are instructed to look for rules or patterns. In his seminal study, Reber (1967) exposed subjects to letter sequences (e.g., TPTS, VXXVPS and TPTXXVS) by means of a memorization task. In experiment 1, subjects were presented with letter sequences and simply asked to commit them to memory. One group of subjects was given sequences that were generated by means of a finite-state grammar (Chomsky, 1956, 1957; Chomsky & Miller, 1958), while the other group received randomly 1 constructed sequences. The results showed that grammatical letter sequences were learned more rapidly than random letter sequences. -
How Trauma Impacts Four Different Types of Memory
How Trauma Impacts Four Different Types of Memory EXPLICIT MEMORY IMPLICIT MEMORY SEMANTIC MEMORY EPISODIC MEMORY EMOTIONAL MEMORY PROCEDURAL MEMORY What It Is What It Is What It Is What It Is The memory of general knowledge and The autobiographical memory of an event The memory of the emotions you felt The memory of how to perform a facts. or experience – including the who, what, during an experience. common task without actively thinking and where. Example Example Example Example You remember what a bicycle is. You remember who was there and what When a wave of shame or anxiety grabs You can ride a bicycle automatically, with- street you were on when you fell off your you the next time you see your bicycle out having to stop and recall how it’s bicycle in front of a crowd. after the big fall. done. How Trauma Can Affect It How Trauma Can Affect It How Trauma Can Affect It How Trauma Can Affect It Trauma can prevent information (like Trauma can shutdown episodic memory After trauma, a person may get triggered Trauma can change patterns of words, images, sounds, etc.) from differ- and fragment the sequence of events. and experience painful emotions, often procedural memory. For example, a ent parts of the brain from combining to without context. person might tense up and unconsciously make a semantic memory. alter their posture, which could lead to pain or even numbness. Related Brain Area Related Brain Area Related Brain Area Related Brain Area The temporal lobe and inferior parietal The hippocampus is responsible for The amygdala plays a key role in The striatum is associated with producing cortex collect information from different creating and recalling episodic memory. -
Webinar Lecture #5
5/20/20 Foundations for Integrating Hypnosis into Your Therapies for Treating Anxiety, Depression, and Pain with Michael D. Yapko, Ph.D. Webinar Section 5 of 12 Michael D. Yapko, Ph.D. www.yapko.com 1 • Direct regression to a specific time, context • Imagery of special vehicles • Metaphorical and indirect approaches Michael D. Yapko, Ph.D. www.yapko.com 2 • Orient to hypnosis • Induction • Response set regarding memory • Regression strategy; emphasize positive memory • Interaction (remember to ask neutrally) • PHS (integrate a positive learning from the experience) • Closure and disengagement Michael D. Yapko, Ph.D. www.yapko.com 3 1 5/20/20 •Encoding •Storage •Retrieval Distortions can occur at any stage Michael D. Yapko, Ph.D. www.yapko.com 4 “Memory is reconstructive, not reproductive” Michael D. Yapko, Ph.D. www.yapko.com 5 “I have the feeling…but I don’t have the memory” Stage hypnosis: “What’s so funny about your movie?” Michael D. Yapko, Ph.D. www.yapko.com 6 2 5/20/20 That’s why hypnotically obtained testimony is generally excluded from court proceedings In Search of Memory by Eric Kandel Searching for Memory by Daniel Schacter The Seven Sins of Memory by Daniel Schacter The Memory Illusion by Julia Shaw Memory by Bennett Schwartz Michael D. Yapko, Ph.D. www.yapko.com 8 And a whole new generation of therapists is starting to make some of the same mistakes all over again… Michael D. Yapko, Ph.D. www.yapko.com 9 3 5/20/20 See “Divided Memories,” a PBS 4-hour documentary on the subject you’ll find on YouTube Also watch the demonstration of implanting a false memory on YouTube by Dr. -
Evidence of Automatic Processing in Sequence Learning Using Process-Dissociation
RESEARCH ARTICLE ADVANCES IN COGNITIVE PSYCHOLOGY Evidence of automatic processing in sequence learning using process-dissociation Heather M. Mong, David P. McCabe, and Benjamin A. Clegg Department of Psychology, Colorado State University, Fort Collins, CO, USA ABSTRACT This paper proposes a way to apply process-dissociation to sequence learning in addition and ex- tension to the approach used by Destrebecqz and Cleeremans (2001). Participants were trained on two sequences separated from each other by a short break. Following training, participants self-reported their knowledge of the sequences. A recognition test was then performed which re- quired discrimination of two trained sequences, either under the instructions to call any sequence encountered in the experiment “old” (the inclusion condition), or only sequence fragments from one half of the experiment “old” (the exclusion condition). The recognition test elicited automatic KEYWORDS and controlled process estimates using the process dissociation procedure, and suggested both implicit learning, sequence processes were involved. Examining the underlying processes supporting performance may pro- learning, process- vide more information on the fundamental aspects of the implicit and explicit constructs than has dissociation, consciousness been attainable through awareness testing. INTRODUCTION Shanks, 2005), and numerous definitions of the term itself have been offered (Dienes & Perner, 1999; Frensch, 1998). This variety is further The serial reaction time task (SRTT) has become an extremely pro- reflected in an array of methods for assessing the presence or absence ductive method for studying sequence learning (for reviews, see of explicit knowledge. Issues raised have included whether explicit Abrahamse, Jimenez, Verwey, & Clegg, 2010; Clegg, DiGirolamo, knowledge is necessary for learning, what awareness tests should be & Keele, 1998). -
CNS 2014 Program
Cognitive Neuroscience Society 21st Annual Meeting, April 5-8, 2014 Marriott Copley Place Hotel, Boston, Massachusetts 2014 Annual Meeting Program Contents 2014 Committees & Staff . 2 Schedule Overview . 3 . Keynotes . 5 2014 George A . Miller Awardee . 6. Distinguished Career Contributions Awardee . 7 . Young Investigator Awardees . 8 . General Information . 10 Exhibitors . 13 . Invited-Symposium Sessions . 14 Mini-Symposium Sessions . 18 Poster Schedule . 32. Poster Session A . 33 Poster Session B . 66 Poster Session C . 98 Poster Session D . 130 Poster Session E . 163 Poster Session F . 195 . Poster Session G . 227 Poster Topic Index . 259. Author Index . 261 . Boston Marriott Copley Place Floorplan . 272. A Supplement of the Journal of Cognitive Neuroscience Cognitive Neuroscience Society c/o Center for the Mind and Brain 267 Cousteau Place, Davis, CA 95616 ISSN 1096-8857 © CNS www.cogneurosociety.org 2014 Committees & Staff Governing Board Mini-Symposium Committee Roberto Cabeza, Ph.D., Duke University David Badre, Ph.D., Brown University (Chair) Marta Kutas, Ph.D., University of California, San Diego Adam Aron, Ph.D., University of California, San Diego Helen Neville, Ph.D., University of Oregon Lila Davachi, Ph.D., New York University Daniel Schacter, Ph.D., Harvard University Elizabeth Kensinger, Ph.D., Boston College Michael S. Gazzaniga, Ph.D., University of California, Gina Kuperberg, Ph.D., Harvard University Santa Barbara (ex officio) Thad Polk, Ph.D., University of Michigan George R. Mangun, Ph.D., University of California, -
1 Personality and Cognitions Underlying Entrepreneurial Intentions Benjamin R. Walker a Thesis Submitted in Partial Fulfilment O
1 Personality and Cognitions underlying Entrepreneurial Intentions Benjamin R. Walker A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy School of Management UNSW Business School March 30, 2015 2 Table of Contents Acknowledgements .................................................................................................................... 6 Originality statement .................................................................................................................. 7 Publications and conference presentations arising from this thesis ........................................... 8 List of abbreviations .................................................................................................................. 9 Thesis Abstract......................................................................................................................... 10 Chapter 1: Introduction ............................................................................................................ 11 Chapter 2: Assessing the impact of revised Reinforcement Sensitivity Theory ...................... 20 Table 1: Articles with original Reinforcement Sensitivity Theory (o-RST) and revised Reinforcement Sensitivity Theory (r-RST) measures .......................................................... 26 Table 2: Categorization of original Reinforcement Sensitivity Theory (o-RST) and revised Reinforcement Sensitivity Theory (r-RST) studies in the five years from 2010-2014 ........ 29 Chapter 3: How -
Kenneth Andrew Norman
Kenneth Norman August 24, 2013 page 1 of 18 Kenneth Andrew Norman Department of Psychology Princeton University Green Hall, Washington Road Princeton, NJ 08540 email: [email protected] work phone: (609) 258-9694 work fax: (609) 258-1113 Employment July 2012 – present Associate Chair Department of Psychology, Princeton University July 2013 – present Professor Department of Psychology and Princeton Neuroscience Institute, Princeton University July 2008 – June 2013 Associate Professor Department of Psychology and Princeton Neuroscience Institute, Princeton University July 2002 – June 2008 Assistant Professor Department of Psychology, Princeton University Education June 1999 Ph.D. in Psychology, Harvard University Advisor: Daniel Schacter, Ph.D. Thesis: "Differential Effects of List Strength on Recollection and Familiarity" June 1996 MA in Psychology, Harvard University June 1993 BS with distinction, Stanford University Advisors: John Gabrieli, Ph.D., Fred Dretske, Ph.D. Honors Thesis: "Is Consciousness the Gatekeeper of Memory?" Additional Education June 1999 – June 2002 NIH NRSA postdoctoral fellow, University of Colorado, Boulder Mentor: Randall O’Reilly, Ph.D. 1995 Fellow, McDonnell Summer Institute in Cognitive Neuroscience, Davis, CA Kenneth Norman August 24, 2013 page 2 of 18 Research Interests Using computational models to explore the neural basis of learning and memory Testing the predictions of these models, using behavioral and neuroimaging measures Developing multivariate methods for extracting information about cognitive states -
Effect of the Time-Of-Day of Training on Explicit Memory
Time-of-dayBrazilian Journal of training of Medical and memory and Biological Research (2008) 41: 477-481 477 ISSN 0100-879X Effect of the time-of-day of training on explicit memory F.F. Barbosa and F.S. Albuquerque Departamento de Fisiologia, Universidade Federal do Rio Grande do Norte, Natal, RN, Brasil Correspondence to: F.F. Barbosa, Departamento de Fisiologia, Universidade Federal do Rio Grande do Norte, Lagoa Nova, Caixa Postal 1511, 59072-970 Natal, RN, Brasil Fax: +55-84-211-9206. E-mail: [email protected] Studies have shown a time-of-day of training effect on long-term explicit memory with a greater effect being shown in the afternoon than in the morning. However, these studies did not control the chronotype variable. Therefore, the purpose of this study was to assess if the time-of-day effect on explicit memory would continue if this variable were controlled, in addition to identifying the occurrence of a possible synchronic effect. A total of 68 undergraduates were classified as morning, intermediate, or afternoon types. The subjects listened to a list of 10 words during the training phase and immediately performed a recognition task, a procedure which they repeated twice. One week later, they underwent an unannounced recognition test. The target list and the distractor words were the same in all series. The subjects were allocated to two groups according to acquisition time: a morning group (N = 32), and an afternoon group (N = 36). One week later, some of the subjects in each of these groups were subjected to a test in the morning (N = 35) or in the afternoon (N = 33). -
Introduction
Cambridge University Press 978-0-521-86288-2 - Memory in Autism Edited by Jill Boucher and Dermot Bowler Excerpt More information Part I Introduction © Cambridge University Press www.cambridge.org Cambridge University Press 978-0-521-86288-2 - Memory in Autism Edited by Jill Boucher and Dermot Bowler Excerpt More information 1 Concepts and theories of memory John M. Gardiner Concept. A thought, idea; disposition, frame of mind; imagination, fancy; .... an idea of a class of objects. Theory. A scheme or system of ideas or statements held as an explan- ation or account of a group of facts or phenomena; a hypothesis that has been confirmed or established by observation or experiment, and is propounded or accepted as accounting for the known facts; a statement of what are known to be the general laws, principles, or causes of some- thing known or observed. From definitions given in the Oxford English Dictionary The Oxford Handbook of Memory, edited by Endel Tulving and Fergus Craik, was published in the year 2000. It is the first such book to be devoted to the science of memory. It is perhaps the single most author- itative and exhaustive guide as to those concepts and theories of memory that are currently regarded as being most vital. It is instructive, with that in mind, to browse the exceptionally comprehensive subject index of this handbook for the most commonly used terms. Excluding those that name phenomena, patient groups, parts of the brain, or commonly used exper- imental procedures, by far the most commonly used terms are encoding and retrieval processes. -
2.33 Implicit Memory and Priming W
2.33 Implicit Memory and Priming W. D. Stevens, G. S. Wig, and D. L. Schacter, Harvard University, Cambridge, MA, USA ª 2008 Elsevier Ltd. All rights reserved. 2.33.1 Introduction 623 2.33.2 Influences of Explicit Versus Implicit Memory 624 2.33.3 Top-Down Attentional Effects on Priming 626 2.33.3.1 Priming: Automatic/Independent of Attention? 626 2.33.3.2 Priming: Modulated by Attention 627 2.33.3.3 Neural Mechanisms of Top-Down Attentional Modulation 629 2.33.4 Specificity of Priming 630 2.33.4.1 Stimulus Specificity 630 2.33.4.2 Associative Specificity 632 2.33.4.3 Response Specificity 632 2.33.5 Priming-Related Increases in Neural Activation 634 2.33.5.1 Negative Priming 634 2.33.5.2 Familiar Versus Unfamiliar Stimuli 635 2.33.5.3 Sensitivity Versus Bias 636 2.33.6 Correlations between Behavioral and Neural Priming 637 2.33.7 Summary and Conclusions 640 References 641 2.33.1 Introduction stimulus that result from a previous encounter with the same or a related stimulus. Priming refers to an improvement or change in the When considering the link between behavioral identification, production, or classification of a stim- and neural priming, it is important to acknowledge ulus as a result of a prior encounter with the same or that functional neuroimaging relies on a number of a related stimulus (Tulving and Schacter, 1990). underlying assumptions. First, changes in informa- Cognitive and neuropsychological evidence indi- tion processing result in changes in neural activity cates that priming reflects the operation of implicit within brain regions subserving these processing or nonconscious processes that can be dissociated operations.