Memory and Cognitive Science Edited by Felipe De Brigard (Harvard University)

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  1. Christian Abry, Marc Sato, Jean-Luc Schwartz, Hélène Loevenbruck & Marie-Agnès Cathiard (2003). Attention-Based Maintenance of Speech Forms in Memory: The Case of Verbal Transformations. Behavioral and Brain Sciences 26 (6):728-729.
    One of the fundamental questions raised by Ruchkin, Grafman, Cameron, and Berndt's (Ruchkin et al.'s) interpretation of no distinct specialized neural networks for short-term storage buffers and long-term memory systems, is that of the link between perception and memory processes. In this framework, we take the opportunity in this commentary to discuss a specific working memory task involving percept formation, temporary retention, auditory imagery, and the attention-based maintenance of information, that is, the verbal transformation effect.
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  2. John P. Aggleton & Malcolm W. Brown (1999). Episodic Memory, Amnesia, and the Hippocampal–Anterior Thalamic Axis. Behavioral and Brain Sciences 22 (3):425-444.
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  3. Kenneth Aizawa (2007). The Biochemistry of Memory Consolidation: A Model System for the Philosophy of Mind. Synthese 155 (1):65-98.
    This paper argues that the biochemistry of memory consolidation provides valuable model systems for exploring the multiple realization of psychological states.
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  4. Norman H. Anderson (1997). Functional Memory Versus Reproductive Memory. Behavioral and Brain Sciences 20 (1):19-20.
    A functional theory of memory has already been developed as part of a general functional theory of cognition. The traditional conception of memory as “reproductive” touches on only a minor function. The primary function of memory is in constructing values for goal-directedness of everyday thought and action. This functional approach to memory rests on a solid empirical foundation.
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  5. Jackie Andrade (2001). Working Memory in Perspective. Psychology Press.
    In this book, experienced researchers in the field address the question: Will the model survive these challenges?
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  6. Jackie Andrade (1997). Investigations of Hypesthesia: Using Anesthetics to Explore Relationships Between Consciousness, Learning, and Memory. Consciousness and Cognition 5 (4):562-80.
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  7. Mercedes Atienza & Jose L. Cantero (2005). Redefining Memory Consolidation. Behavioral and Brain Sciences 28 (1):64-65.
    Based on brain state-dependent behavioral changes, consolidation of sensorimotor memories has been posited to evolve in two different functional stages. Only the second of these stages requires sleep and leads to performance benefits. Recent results, however, suggest that sleep is not always crucial for the expression of delayed behavioral gains but might be critical for enhancing automaticity in the absence of attention, another expression of memory consolidation.
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  8. Bernard J. Baars (2001). A Biocognitive Approach to the Conscious Core of Immediate Memory. Behavioral and Brain Sciences 24 (1):115-116.
    The limited capacity of immediate memory “rides” on the even more limited capacity of consciousness, which reflects the dynamic activity of the thalamocortical core of the brain. Recent views of the conscious narrow-capacity component of the brain are explored with reference to global workspace theory (Baars 1988; 1993; 1998). The radical limits of immediate memory must be explained in terms of biocognitive brain architecture.
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  9. Bernard J. Baars (1997). Some Essential Differences Between Consciousness and Attention, Perception, and Working Memory. Consciousness and Cognition 6 (2-3):363-371.
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  10. Bernard J. Baars & Stan Franklin (2003). How Conscious Experience and Working Memory Interact. Trends in Cognitive Sciences 7 (4):166-172.
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  11. E. Bacon, J. M. Danion, F. Kauffmann-Muller & A. Bruant (2001). Consciousness in Schizophrenia: A Metacognitive Approach to Semantic Memory. Consciousness and Cognition 10 (4):473-484.
    Recent studies have shown that schizophrenia may be a disease affecting the states of consciousness. The present study is aimed at investigating metamemory, i.e., the knowledge about one's own memory capabilities, in patients with schizophrenia. The accuracy of the Confidence level (CL) in the correctness of the answers provided during a recall phase, and the predictability of the Feeling of Knowing (FOK) when recall fails were measured using a task consisting of general information questions and assessing semantic memory. Nineteen outpatients (...)
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  12. A. BAddeley (1992). Consciousness and Working Memory. Consciousness and Cognition 1 (1):3-6.
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  13. William P. Banks & Kathy Pezdek (1994). The Recovered Memory/False Memory Debate. Consciousness and Cognition 3 (3-4):265-268.
  14. Zoltán Bánréti (1999). Interfaces in Memory. Behavioral and Brain Sciences 22 (1):96-96.
    A distinction between interpretive processing and post-interpretive processing calls for a consideration of interface relations in systems of verbal memory. Syntactic movement of a phrase and the cognitive system of thought/mind interact. Systems of declarative memory and procedural memory interact.
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  15. Moshe Bar (2007). The Continuum of “Looking Forward,” and Paradoxical Requirements From Memory. Behavioral and Brain Sciences 30 (3):315-316.
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  16. Simon Baron-Cohen, D. Bor, J. Billington, J. Asher, S. Wheelwright & C. Ashwin (2007). Savant Memory in a Man with Colour Form-Number Synaesthesia and Asperger. Journal of Consciousness Studies 14 (s 9-10):237-251.
    Extreme conditions like savantism, autism or synaesthesia, which have a neurological 2AH, UK basis, challenge the idea that other minds are similar to our own. In this paper we report a single case study of a man in whom all three of these conditions co-occur. We suggest, on the basis of this single case, that when savantism and synaesthesia co- occur, it is worthwhile testing for an undiagnosed Autism Spectrum Condition (ASC). This is because savantism has an established association with (...)
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  17. William Bechtel, Molecules, Systems, and Behavior: Another View of Memory Consolidation.
    From its genesis in the 1960s, the focus of inquiry in neuroscience has been on the cellular and molecular processes underlying neural activity. In this pursuit neuroscience has been enormously successful. Like any successful scientific inquiry, initial successes have raised new questions that inspire ongoing research. While there is still much that is not known about the molecular processes in brains, a great deal of very important knowledge has been secured, especially in the last 50 years. It has also attracted (...)
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  18. William P. Bechtel (2001). The Compatibility of Complex Systems and Reduction: A Case Analysis of Memory Research. Minds And Machines 11 (4):483-502.
    Some theorists who emphasize the complexity of biological and cognitive systems and who advocate the employment of the tools of dynamical systems theory in explaining them construe complexity and reduction as exclusive alternatives. This paper argues that reduction, an approach to explanation that decomposes complex activities and localizes the components within the complex system, is not only compatible with an emphasis on complexity, but provides the foundation for dynamical analysis. Explanation via decomposition and localization is nonetheless extremely challenging, and an (...)
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  19. James A. Bednar (2000). Internally-Generated Activity, Non-Episodic Memory, and Emotional Salience in Sleep. Behavioral and Brain Sciences 23 (6):908-909.
    (1) Substituting (as Solms does) forebrain for brainstem in the search for a dream “controller” is counterproductive, since a distributed system need have no single controller. (2) Evidence against episodic memory consolidation does not show that REM sleep has no role in other types of memory, contra Vertes & Eastman. (3) A generalization of Revonsuo's “threat simulation” model in reverse is more plausible and is empirically testable. [Hobson et al.; Solms; Revonsuo; Vertes & Eastman].
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  20. Aaron S. Benjamin & Robert A. Bjork (1997). Problematic Aspects of Embodied Memory. Behavioral and Brain Sciences 20 (1):20-20.
    Glenberg's theory is rich and provocative, in our view, but we find fault with the premise that all memory representations are embodied. We cite instances in which that premise mispredicts empirical results or underestimates human capabilities, and we suggest that the motivation for the embodiment idea – to avoid the symbol-grounding problem – should not, ultimately, constrain psychological theorizing.
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  21. G. Berrios & J. Hodges (2000). Memory Disorders in Psychiatric Practice. Cambridge University Press.
    Throwing new light on established conditions and introducing two new syndromes, this book is a major contribution to the clinical management of memory disorders ...
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  22. Christopher J. Berry, David R. Shanks & Richard N. A. Henson (2006). On the Status of Unconscious Memory: Merikle and Reingold (1991) Revisited. Journal of Experimental Psychology 32 (4):925-934.
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  23. J. Bickle (2008). The Molecules of Social Recognition Memory: Implications for Social Cognition, Extended Mind, and Neuroethics. Consciousness and Cognition 17 (2):468-474.
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  24. James E. Black & William T. Greenough (1997). How to Build a Brain: Multiple Memory Systems Have Evolved and Only Some of Them Are Constructivist. Behavioral and Brain Sciences 20 (4):558-559.
    Much of our work with enriched experience and training in animals supports the Quartz & Sejnowski (Q&S) thesis that environmental information can interact with pre-existing neural structures to produce new synapses and neural structure. However, substantial data as well as an evolutionary perspective indicate that multiple information-capture systems exist: some are constructivist, some are selectionist, and some may be tightly constrained.
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  25. Susan J. Blackmore, Gavin Brelstaff, Katherine Nelson & Tom Troscianko (1995). Is the Richness of Our Visual World an Illusion? Transsaccadic Memory for Complex Scenes. Perception 24:1075-81.
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  26. George A. Bonanno (2006). The Illusion of Repressed Memory. Behavioral and Brain Sciences 29 (5):515-516.
    Erdelyi's unified theory includes the idea that traumatic memories can be unconsciously repressed so that they are enduringly inaccessible to deliberate recall. I argue here that clinical evidence for repressed memory is illusory, and illustrate this claim by examining previous studies of putative repressed memories and also recent research on nonverbal behaviors among survivors of childhood sexual abuse.
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  27. Jan Born & Ullrich Wagner (2004). Awareness in Memory: Being Explicit About the Role of Sleep. Trends in Cognitive Sciences 8 (6):242-244.
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  28. Nick Bostrom, Cortical Integration: Possible Solutions to the Binding and Linking Problems in Perception, Reasoning and Long Term Memory.
    The problem of cortical integration is described and various proposed solutions, including grandmother cells, cell assemblies, feed-forward structures, RAAM and synchronization, are reviewed. One method, involving complex attractors, that has received little attention in the literature, is explained and developed. I call this binding through annexation. A simulation study is then presented which suggests ways in which complex attractors could underlie our capacity to reason. The paper ends with a discussion of the efficiency and biological plausibility of the proposals as (...)
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  29. Cyril Brom, Jiří Lukavský & Rudolf Kadlec (2010). Episodic Memory for Human-Like Agents and Human-Like Agents for Episodic Memory. International Journal of Machine Consciousness 2 (02):227-.
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  30. R. A. Brown (1997). Consciousness in a Self-Learning, Memory-Controlled, Compound Machine. Neural Networks 10:1333-85.
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  31. Hugh W. Buckingham (1998). Embodiment, Muscle Sense, and Memory for Speech. Behavioral and Brain Sciences 21 (4):515-515.
    MacNeilage's target article develops a theory for the evolution of human speech articulation along the lines of “slot- filler” structure. His content/frame schema commits him to the tenets of embodiment, muscle sense, and a memory for speech. My commentary ties these aspects together in their historical and current perspective.
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  32. Michael F. Bunting & Nelson Cowan (2005). Working Memory and Flexibility in Awareness and Attention. Psychological Research/Psychologische Forschung 69 (5):412-419.
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  33. Jan Bures & Andre A. Fenton (1999). The Gap Between Episodic Memory and Experiment: Can C-Fos Expression Replace Recognition Testing? Behavioral and Brain Sciences 22 (3):445-446.
    The effort to identify the neural substrate of episodic recall, though ambitious, lacks experimental support. By considering the data on c-fos activation by novel and familiar stimuli in recognition studies, we illustrate how inadequate experimental designs permit alternative interpretations. We stress that interpretation of c-fos expression changes should be supported by adequate recognition tests.
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  34. Gregory C. Burgess, Todd S. Braver & Jeremy R. Gray (2006). Exactly How Are Fluid Intelligence, Working Memory, and Executive Function Related? Cognitive Neuroscience Approaches to Investigating the Mechanisms of Fluid Cognition. Behavioral and Brain Sciences 29 (2):128-129.
    Blair proposes that fluid intelligence, working memory, and executive function form a unitary construct: fluid cognition. Recently, our group has utilized a combined correlational–experimental cognitive neuroscience approach, which we argue is beneficial for investigating relationships among these individual differences in terms of neural mechanisms underlying them. Our data do not completely support Blair's strong position. (Published Online April 5 2006).
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  35. Laurie T. Butler & Dianne C. Berry (2001). Implicit Memory: Intention and Awareness Revisited. Trends in Cognitive Sciences 5 (5):192-197.
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  36. L. Cahill (2004). The Influence of Sex Versus Sex-Related Traits on Long-Term Memory for Gist and Detail From an Emotional Story. Consciousness and Cognition 13 (2):391-400.
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  37. David Caplan & Gloria S. Waters (1999). Verbal Working Memory and Sentence Comprehension. Behavioral and Brain Sciences 22 (1):77-94.
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  38. J. Carriere, J. Cheyne & D. Smilek (2008). Everyday Attention Lapses and Memory Failures: The Affective Consequences of Mindlessness. Consciousness and Cognition 17 (3):835-847.
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  39. J. Case (2004). Offloading Memory to the Environment: A Quantitative Example. Minds and Machines 14 (3):387-89.
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  40. Morten H. Christiansen & Maryellen C. MacDonald (1999). Fractionated Working Memory: Even in Pebbles, It's Still a Soup Stone. Behavioral and Brain Sciences 22 (1):97-98.
    We agree with Caplan & Waters that there are problems with the single-resource theory of sentence comprehension. However, we challenge their dual-resource alternative on theoretical and empirical grounds and point to a more coherent solution that abandons the notion of working memory resources.
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  41. Patricia Smith Churchland (1989). Larry Squire. Memory and Brain. [REVIEW] Philosophy of Science 56 (3):539-.
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  42. Anton Coenen (2005). Where is the Classic Interference Theory for Sleep and Memory? Behavioral and Brain Sciences 28 (1):67-68.
    Walker's target article proposes a refinement of the well known two-stage model of memory formation to explain the positive effects of sleep on consolidation. After a first stage in which a labile memory representation is formed, a further stabilisation of the memory trace takes place in the second stage, which is dependent on (REM) sleep. Walker has refined the latter stage into a stage in which a consolidation-based enhancement occurs. It is not completely clear what consolidation-based enhancement implies and how (...)
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  43. A. Collins, S. Gathercole, Martin A. Conway & P. E. Morris (1993). Theories of Memory. Lawrence Erlbaum.
    This is a collection of chapters by some of the most influential memory researchers.
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  44. L. Cosand, T. Cavanagh, A. Brown, C. Courtney, A. Rissling, A. Schell & M. Dawson (2008). Arousal, Working Memory, and Conscious Awareness in Contingency Learning☆. Consciousness and Cognition 17 (4):1105-1113.
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  45. Nelson Cowan (2003). Varieties of Procedural Accounts of Working Memory Retention Systems. Behavioral and Brain Sciences 26 (6):731-732.
    The present commentary agrees with many of the points made by Ruchkin et al., but brings up several important differences in assumptions. These assumptions have to do with the nature of the capacity limit in working memory and the possible bases of working-memory activation.
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  46. Nelson Cowan (2001). The Magical Number 4 in Short-Term Memory: A Reconsideration of Mental Storage Capacity. Behavioral and Brain Sciences 24 (1):87-114.
    Miller (1956) summarized evidence that people can remember about seven chunks in short-term memory (STM) tasks. However, that number was meant more as a rough estimate and a rhetorical device than as a real capacity limit. Others have since suggested that there is a more precise capacity limit, but that it is only three to five chunks. The present target article brings together a wide variety of data on capacity limits suggesting that the smaller capacity limit is real. Capacity limits (...)
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  47. Nelson Cowan & N. L. Wood (1997). Constraints on Awareness, Attention, Processing, and Memory: Some Recent Investigations with Ignored Speech. Consciousness and Cognition 6 (2-3):182-203.
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  48. Robert G. Crowder & Heidi E. Wenk (1997). Glenberg's Embodied Memory: Less Than Meets the Eye. Behavioral and Brain Sciences 20 (1):21-22.
    We are sympathetic to most of what Glenberg says in his target article, but we consider it common wisdom rather than something radically new. Others have argued persuasively against the idea of abstraction in cognition, for example. On the other hand, Hebbian connectionism cannot get along without the idea of association, at least at the neural level.
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  49. S. Cunningham, D. Turk, L. MacdonaLd & C. NeilmaCrae (2008). Yours or Mine? Ownership and Memory. Consciousness and Cognition 17 (1):312-318.
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  50. E. Daprati, D. Nico, N. Franck & A. Sirigu (2003). Being the Agent: Memory for Action Events. Consciousness and Cognition 12 (4):670-683.
    Whoever paid the bill at the restaurant last night, will clearly remember doing it. Independently from the type of action, it is a common experience that being the agent provides a special strength to our memories. Even if it is generally agreed that personal memories (episodic memory) rely on separate neural substrates with respect to general knowledge (semantic memory), little is known on the nature of the link between memory and the sense of agency. In the present paper, we review (...)
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  51. A. DAurat, P. Terrier, J. Foret & M. Tiberge (2007). Slow Wave Sleep and Recollection in Recognition Memory. Consciousness and Cognition 16 (2):445-455.
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  52. Wim De Neys, Walter Schaeken & G. (2005). Working Memory and Counterexample Retrieval for Causal Conditionals. Thinking and Reasoning 11 (2):123 – 150.
    The present study is part of recent attempts to specify the characteristics of the counterexample retrieval process during causal conditional reasoning. The study tried to pinpoint whether the retrieval of stored counterexamples (alternative causes and disabling conditions) for a causal conditional is completely automatic in nature or whether the search process also demands executive working memory (WM) resources. In Experiment 1, participants were presented with a counterexample generation task and a measure of WM capacity. We found a positive relation between (...)
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  53. Wim de Neys, Walter Schaeken & G. (2005). Working Memory and Everyday Conditional Reasoning: Retrieval and Inhibition of Stored Counterexamples. Thinking and Reasoning 11 (4):349 – 381.
    Two experiments examined the contribution of working memory (WM) to the retrieval and inhibition of background knowledge about counterexamples (alternatives and disablers, Cummins, 1995) during conditional reasoning. Experiment 1 presented a conditional reasoning task with everyday, causal conditionals to a group of people with high and low WM spans. High spans rejected the logically invalid AC and DA inferences to a greater extent than low spans, whereas low spans accepted the logically valid MP and MT inferences less frequently than high (...)
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  54. Manuel de Vega (1997). Embodiment in Language-Based Memory: Some Qualifications. Behavioral and Brain Sciences 20 (1):22-23.
    (1) Non-projectable properties as opposed to the clamping of projectable properties play a primary role in triggering and guiding human action. (2) Embodiment in language-mediated memories should be qualified: (a) Language imposes a radical discretization on body constraints (second-order embodiment). (b) Metaphors rely on second-order embodiment. (c) Language users sometimes suspend embodiment.
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  55. S. Dehaene, A. G. Greenwald, R. L. Abrams & L. Naccache (2003). Long-Term Semantic Memory Versus Contextual Memory in Unconscious Number Processing. Journal of Experimental Psychology 29 (2):235-247.
    Subjects classified visible 2-digit numbers as larger or smaller than 55. Target numbers were preceded by masked 2-digit primes that were either congruent (same relation to 55) or incongruent. Experiments 1 and 2 showed prime congruency effects for stimuli never included in the set of classified visible targets, indicating subliminal priming based on long-term semantic memory. Experiments 2 and 3 went further to demonstrate paradoxical unconscious priming effects resulting from task context. For example, after repeated practice classifying 73 as larger (...)
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  56. Daniel C. Dennett (1995). Is Perception the "Leading Edge" of Memory? In A. Spafadora (ed.), Iride: Luoghi Della Memoria E Dell'oblio.
    Daniel C. Dennett Is Perception the 'Leading Edge' of Memory? Consciousness appears to us to consist of a sequence of contentful items, arranged in a sequence, the so-called "stream of consciousness," in which each item in turn bursts quite suddenly into consciousness and thereby enters memory, perhaps only briefly to be remembered, and then forgotten. I think that hidden in this comfortable and largely innocent picture of consciousness is a deep and seductive mistake. I intend to expose and elucidate that (...)
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  57. M. Deruiter, R. Phaf, B. Elzinga & R. Dyck (2004). Dissociative Style and Individual Differences in Verbal Working Memory Span. Consciousness and Cognition 13 (4):821-828.
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  58. S. DewhurSt, S. HolmeS, K. Brandt & G. Dean (2006). Measuring the Speed of the Conscious Components of Recognition Memory: Remembering is Faster Than Knowing. Consciousness and Cognition 15 (1):147-162.
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  59. Julien Doyon, Julie Carrier, Alain Simard, Abdallah Hadj Tahar, Amélie Morin, Habib Benali & Leslie G. Ungerleider (2005). Motor Memory: Consolidation–Based Enhancement Effect Revisited. Behavioral and Brain Sciences 28 (1):68-69.
    Following Karni's seminal work, Walker and other researchers have recently provided gradually convincing evidence that sleep is critical for the consolidation-based enhancement (CBE) of motor sequence learning. Studies in our laboratory using a motor adaptation paradigm, however, show that CBE can also occur after the simple passage of time, suggesting that sleep effects on memory consolidation are task-related, and possibly dependent on anatomically dissociable circuits.
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  60. Emrah Düzel (2003). Some Mechanisms of Working Memory May Not Be Evident in the Human EEG. Behavioral and Brain Sciences 26 (6):732-732.
    Ruchkin et al. use brain-activity data from healthy subjects to assess the physiological validity of a cognitive working memory model and to propose modifications. The conclusions drawn from this data are interesting and plausible, but they have limitations. Much of what is known about the neural mechanisms of working memory comes from single neuron recordings in animals, and it is currently not fully understood how these translate to scalp recordings of EEG.
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  61. H. Ebbinghaus (1886). A Supposed Law of Memory. Mind 11 (42):300.
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  62. Shimon Edelman, Trade-off Between Capacity and Generalization in a Model of Memory.
    Although computational considerations suggest that a resource-limited memory system may have to trade off capacity for generalization ability, such a trade-off has not been demonstrated in the past. We describe a simple model of memory that exhibits this trade-off and describe its performance in a variety of tasks.
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  63. Andrée C. Ehresmann & Jean-Paul Vanbremeersch (2006). The Memory Evolutive Systems as a Model of Rosen's Organisms – (Metabolic, Replication) Systems. Axiomathes 16 (1-2).
    Robert Rosen has proposed several characteristics to distinguish “simple” physical systems (or “mechanisms”) from “complex” systems, such as living systems, which he calls “organisms”. The Memory Evolutive Systems (MES) introduced by the authors in preceding papers are shown to provide a mathematical model, based on category theory, which satisfies his characteristics of organisms, in particular the merger of the Aristotelian causes. Moreover they identify the condition for the emergence of objects and systems of increasing complexity. As an application, the cognitive (...)
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  64. Eric Eich (1984). Memory for Unattended Events: Remembering with and Without Awareness. Memory and Cognition 12:105-11.
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  65. Eric Eich, J. L. Reeves & R. L. Katz (1985). Anesthesia, Amnesia, and the Memory/Awareness Distinction. Anesthesia and Analgesia 64:1143-48.
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  66. Naomi Eilan, Christoph Hoerl, Teresa McCormack & Johannes Roessler (2005). Joint Attention: Communication and Other Minds: Issues in Philosophy and Psychology. Oxford: Clarendon Press.
    Sometime around their first birthday most infants begin to engage in relatively sustained bouts of attending together with their caretakers to objects in their environment. By the age of 18 months, on most accounts, they are engaging in full-blown episodes of joint attention. As developmental psychologists (usually) use the term, for such joint attention to be in play, it is not sufficient that the infant and the adult are in fact attending to the same object, nor that the one’s attention (...)
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  67. Elizabeth Ennen (2003). Phenomenological Coping Skills and the Striatal Memory System. Phenomenology and the Cognitive Sciences 2 (4):299-325.
    Most cognitive scientists are committed to some version of representationalism, the view that intelligent behavior is caused by internal processes that involve computations over representations. Phenomenologists, however, argue that certain types of intelligent behavior, engaged coping skills, are nonrepresentational. Recent neuroscientific work on multiple memory systems indicates that while many types of intelligent behavior are representational, the types of intelligent behavior cited by phenomenologists are indeed nonrepresentational. This neuroscientific research thus vindicates a key phenomenological claim about the nature of intelligent (...)
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  68. Matthew Hugh Erdelyi (2006). The Return of the Repressed. Behavioral and Brain Sciences 29 (5):535-543.
    Repression continues to be controversial. One insight crystallized by the commentaries is that there is a serious semantic problem, partly resulting from a long silence in psychology on repression. In this response, narrow views (e.g., that repression needs always be unconscious, must yield total amnesia) are challenged. Broader conceptions of repression, both biological and social, are considered, with a special stress on repression of meanings (denial). Several issues – generilizability, falsifiability, personality factors, the interaction of repression with cognitive channel (e.g., (...)
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  69. Matthew Hugh Erdelyi (2006). The Unified Theory of Repression. Behavioral and Brain Sciences 29 (5):499-511.
    Repression has become an empirical fact that is at once obvious and problematic. Fragmented clinical and laboratory traditions and disputed terminology have resulted in a Babel of misunderstandings in which false distinctions are imposed (e.g., between repression and suppression) and necessary distinctions not drawn (e.g., between the mechanism and the use to which it is put, defense being just one). “Repression” was introduced by Herbart to designate the (nondefensive) inhibition of ideas by other ideas in their struggle for consciousness. Freud (...)
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  70. Allen Esterson & Stephen J. Ceci (2006). Freud Did Not Anticipate Modern Reconstructive Memory Processes. Behavioral and Brain Sciences 29 (5):517-518.
    In this commentary, we challenge the claim that Freud's thinking anticipated Bartlettian reconstructive theories of remembering. Erdelyi has ignored important divergences that demonstrate it is not the case that “The constructions and reconstructions of Freud and Bartlett are the same but for motive” (target article, sect. 5).
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  71. Kathinka Evers (2007). Perspectives on Memory Manipulation: Using Beta-Blockers to Cure Post-Traumatic Stress Disorder. Cambridge Quarterly of Healthcare Ethics 16 (02):-.
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  72. Gernot Falkner & Renate Falkner (2008). The Memory of Micro-Organisms: An Essay on the Experience of Environmental Alterations by Bacteria. World Futures 64 (2):133 – 145.
    Using a generalized conception of experience, from which all features characteristic for higher animals (such as consciousness and thought) have been removed, allowed relating experience to adaptive processes in lower organisms. The temporal vector character of every current experience, containing as well memories of past experiences as intentions for future activities, can then be found in the adaptive response of cyanobacteria to alterations in phosphate supply, particularly in energetic manifestations of this phenomenon. A possible analogy between adaptive events as the (...)
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  73. Bill Faw (2003). Pre-Frontal Executive Committee for Perception, Working Memory, Attention, Long-Term Memory, Motor Control, and Thinking: A Tutorial Review. Consciousness and Cognition 12 (1):83-139.
  74. Susanne Ferber & Stephen M. Emrich (2007). Maintaining the Ties That Bind: The Role of an Intermediate Visual Memory Store in the Persistence of Awareness. Cognitive Neuropsychology 24 (2):187-210.
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  75. Nikole K. Ferree & Larry Cahill (2009). Post-Event Spontaneous Intrusive Recollections and Strength of Memory for Emotional Events in Men and Women. Consciousness and Cognition 18 (1):126-134.
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  76. William Fishbein (2000). The Case Against Memory Consolidation in Rem Sleep: Balderdash! Behavioral and Brain Sciences 23 (6):934-936.
    Unfortunately, some researchers think a good scientific theory is one that has been repeatedly confirmed, and a bad theory is one that has not received consistent confirmation. However, confirmation of a theory depends on the extent to which a hypothesis exposes itself to disconfirmation. One confirmation of a highly specific, falsifiable experiment can have a far greater impact than the disconfirmation of twenty experiments that are virtually unfalsifiable. This commentary (1) counteracts misleading biases regarding the REM sleep/memory consolidation theory, and (...)
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  77. Julia Fisher, E. Hirshman, T. HenThorn, J. Arndt & A. PAssannante (2006). Midazolam Amnesia and Short-Term/Working Memory Processes. Consciousness and Cognition 15 (1):54-63.
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  78. Jonathan K. Foster (2003). Thoughts From the Long-Term Memory Chair. Behavioral and Brain Sciences 26 (6):734-735.
    With reference to Ruchkins et al.'s framework, this commentary briefly considers the history of working memory, and whether, heuristically, this is a useful concept. A neuropsychologically motivated critique is offered, specifically with regard to the recent trend for working-memory researchers to conceptualise this capacity more as a process than as a set of distinct task-specific stores.
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  79. Jonathan K. Foster (2001). Cantor Coding and Chaotic Itinerancy: Relevance for Episodic Memory, Amnesia, and the Hippocampus? Behavioral and Brain Sciences 24 (5):815-816.
    This commentary provides a critique of Tsuda's target article, focusing on the hippocampus and episodic long-term memory. More specifically, the relevance of Cantor coding and chaotic itinerancy for long-term memory functioning is considered, given what we know about the involvement of the hippocampus in the mediation of long-term episodic memory (based on empirical neuroimaging studies and investigations of brain-damaged amnesic patients).
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  80. Jonathan K. Foster & Andrew C. Wilson (2005). Sleep and Memory: Definitions, Terminology, Models, and Predictions? Behavioral and Brain Sciences 28 (1):71-72.
    In this target article, Walker seeks to clarify the current state of knowledge regarding sleep and memory. Walker's review represents an impressively heuristic attempt to synthesize the relevant literature. In this commentary, we question the focus on procedural memory and the use of the term “consolidation,” and we consider the extent to which empirically testable predictions can be derived from Walker's model.
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  81. Robin Fox (1986). The Passionate Mind: Brain, Dreams, Memory, and Social Categories. Zygon 21 (1):31-46.
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  82. R. W. Frick (1987). A Dissociation of Conscious Visual Imagery and Visual Short-Term Memory. Neuropsychologia 25:707-12.
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  83. William J. Friedman (2007). The Meaning of “Time” in Episodic Memory and Mental Time Travel. Behavioral and Brain Sciences 30 (3):323-323.
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  84. Joaquín M. Fuster (2003). More Than Working Memory Rides on Long-Term Memory. Behavioral and Brain Sciences 26 (6):737-737.
    Single-unit data from the cortex of monkeys performing working-memory tasks support the main point of the target article. Those data, however, also indicate that the activation of long-term memory is essential to the processing of all cognitive functions. The activation of cortical long-term memory networks is a key neural mechanism in attention (working memory is a form thereof), perception, memory acquisition and retrieval, intelligence, and language.
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  85. Liane Gabora, Revenge of the 'Neurds': Characterizing Creative Thought in Terms of the Structure and Dynamics of Memory.
    Empirical results suggest that defocusing attention results in primary process or associative thought , conducive to finding unusual connections, while focusing attention results in secondary process or analytic thought , conducive to rule-based operations. Creativity appears to involve both. It is widely believed that it is possible to escape mental fixation by spontaneously and temporarily engaging in a more divergent or associative mode of thought. The resulting insight (if found) may be refined in a more analytic mode of thought. The (...)
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  86. Michael Gabriel & David M. Smith (1999). What Does the Limbic Memory Circuit Actually Do? Behavioral and Brain Sciences 22 (3):451-451.
    We applaud Aggleton & Brown's affirmation of limbic diencephalic-hippocampal interaction as a key memory substrate. However, we do not agree with a thesis of diencephalic-hippocampal strict dedication to episodic memory. Instead, this circuitry supports the production of context-specific patterns of activation that subserve retrieval for a broad class of memory phenomena, including goal-directed instrumental behavior of animals and episodic memory of humans.
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  87. Peter Gärdenfors (1997). The Role of Memory in Planning and Pretense. Behavioral and Brain Sciences 20 (1):24-25.
    Corresponding to Glenberg's distinction between the automatic and effortful modes of memory, I propose a distinction between cued and detached mental representations. A cued representation stands for something that is present in the external situation of the representing organism, while a detached representation stands for objects or events that are not present in the current situation. This distinction is important for understanding the role of memory in different cognitive functions like planning and pretense.
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  88. J. M. Gardiner, C. Ramponi & A. Richardson-Klavehn (1999). Response Deadline and Subjective Awareness in Recognition Memory. Consciousness and Cognition 8 (4):484-496.
    Level of processing and generation effects were replicated in separate experiments in which recognition memory was tested using either short (500 ms) or long (1500 ms) response deadlines. These effects were similar at each deadline. Moreover, at each deadline these effects were associated with subsequent reports of remembering, not of knowing. And reports of both knowing and remembering increased following the longer deadline. These results imply that knowing does not index an automatic familiarity process, as conceived in some dual-process models (...)
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  89. John M. Gardiner (2002). Episodic Memory and Autonoetic Consciousness: A First-Person Approach. In Alan Baddeley, John P. Aggleton & Martin A. Conway (eds.), Episodic Memory: New Directions in Research. Oxford University Press.
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  90. John M. Gardiner & A. J. Parkin (1990). Attention and Recollective Experience in Recognition Memory. Memory and Cognition 18:579-583.
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  91. Dennis Garlick & Terrence J. Sejnowski (2006). There is More to Fluid Intelligence Than Working Memory Capacity and Executive Function. Behavioral and Brain Sciences 29 (2):134-135.
    Although working memory capacity and executive function contribute to human intelligence, we question whether there is an equivalence between them and fluid intelligence. We contend that any satisfactory neurobiological explanation of fluid intelligence needs to include abstraction as an important computational component of brain processing. (Published Online April 5 2006).
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  92. S. C. Garrod & A. J. Sanford (1982). The Mental Representation of Discourse in a Focussed Memory System: Implications for the Interpretation of Anaphoric Noun Phrases. Journal of Semantics 1 (1):21-41.
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  93. Rocco J. Gennaro (1992). Consciousness, Self-Consciousness, and Episodic Memory. Philosophical Psychology 5 (4):333-47.
    My aim in this paper is to show that consciousness entails self-consciousness by focusing on the relationship between consciousness and memory. More specifically, I addreess the following questions: (1) does consciousness require episodic memory?; and (2) does episodic memory require self-consciousness? With the aid of some Kantian considerations and recent empirical data, it is argued that consciousness does require episodic memory. This is done after defining episodic memory and distinguishing it from other types of memory. An affirmative answer to (2) (...)
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  94. Rocco J. Gennaro, Douglas J. Herrmann & Michael Sarapata (2006). Aspects of the Unity of Consciousness and Everyday Memory Failures. Consciousness and Cognition 15 (2):372-385.
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  95. Philip Gerrans (2007). Mental Time Travel, Somatic Markers and "Myopia for the Future". Synthese 159 (3):459 - 474.
    Patients with damage to the ventromedial prefrontal cortex (VMPFC) are often described as having impaired ability for planning and decision making despite retaining intact capacities for explicit reasoning. The somatic marker hypothesis is that the VMPFC associates implicitly represented affective information with explicit representations of actions or outcomes. Consequently, when the VMPFC is damaged explicit reasoning is no longer scaffolded by affective information, leading to characteristic deficits. These deficits are exemplified in performance on the Iowa Gambling Task (IGT) in which (...)
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  96. W. Glannon (2006). Psychopharmacology and Memory. Journal of Medical Ethics 32 (2):74-78.
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  97. Robert B. Glassman (2005). The Epic of Personal Development and the Mystery of Small Working Memory. Zygon 40 (1):107-130.
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  98. Arthur M. Glenberg (1997). What Memory is For. Behavioral and Brain Sciences 20 (1):1-19.
    I address the commentators' calls for clarification of theoretical terms, discussion of similarities to other proposals, and extension of the ideas. In doing so, I keep the focus on the purpose of memory: enabling the organism to make sense of its environment so that it can take action appropriate to constraints resulting from the physical, personal, social, and cultural situations.
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  99. Ben Goertzel (1993). Phase Transitions in Associative Memory Networks. Minds and Machines 3 (3).
    Ideas from random graph theory are used to give an heuristic argument that associative memory structure depends discontinuously on pattern recognition ability. This argument suggests that there may be a certain minimal size for intelligent systems.
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  100. Morris Goldsmith & Asher Koriat (2003). Dolphins on the Witness Stand? The Comparative Psychology of Strategic Memory Regulation. Behavioral and Brain Sciences 26 (3):345-346.
    Smith et al. show that monkeys and dolphins can respond adaptively under conditions of uncertainty, suggesting that they monitor subjective uncertainty and control their behavior accordingly. Drawing on our own work with humans on the strategic regulation of memory reporting, we argue that, so far, the distinction between monitoring and control has not been addressed sufficiently in metacognitive animal research.
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