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  1. Hypnotic behavior dissected or … pulling the wings off butterflies.Dennis C. Turk & Thomas E. Rudy - 1986 - Behavioral and Brain Sciences 9 (3):485-485.
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  • State versus nonstate paradigms of hypnosis: A real or a false dichotomy?Graham F. Wagstaff - 1986 - Behavioral and Brain Sciences 9 (3):486-487.
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  • Social and psychological influences on hypnotic behavior.Campbell Perry & Jean-Roch Laurence - 1986 - Behavioral and Brain Sciences 9 (3):478-479.
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  • Theories of hypnosis – useful or necessary paths to truth?Peter W. Sheehan - 1986 - Behavioral and Brain Sciences 9 (3):483-483.
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  • Hypnosis and social suggestibility.William E. Edmonston - 1986 - Behavioral and Brain Sciences 9 (3):470-471.
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  • A review of the literature with and without awareness. [REVIEW]George Wolford - 1986 - Behavioral and Brain Sciences 9 (1):49-50.
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  • What do you mean by conscious?John Morton - 1986 - Behavioral and Brain Sciences 9 (1):43-43.
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  • Through the looking-glass and what cognitive psychology found there.Edoardo Bisiach - 1986 - Behavioral and Brain Sciences 9 (1):24-25.
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  • Theories of visual masking.Bruce Bridgeman - 1986 - Behavioral and Brain Sciences 9 (1):25-26.
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  • Electrodermal responses to words in an irrelevant message: A partial reappraisal.Raymond S. Corteen - 1986 - Behavioral and Brain Sciences 9 (1):27-28.
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  • An operational definition of conscious awareness must be responsible to subjective experience.Carol A. Fowler - 1986 - Behavioral and Brain Sciences 9 (1):33-35.
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  • Semantic activation, consciousness, and attention.William A. Johnston - 1986 - Behavioral and Brain Sciences 9 (1):35-36.
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  • Consciousness, causality and complementarity.Max Velmans - 1993 - Behavioral and Brain Sciences 16 (2):404-416.
    This reply to five continuing commentaries on my 1991 target article on “Is human information processing conscious” focuses on six related issues: 1) whether focal attentive processing replaces consciousness as a causal agent in third-person viewable human information processing, 2)whether consciousness can be dissociated from human information processing, 3) continuing disputes about definitions of "consciousness" and about what constitutes a “conscious process” , 4) how observer-relativity in psychology relates (and does not relate) to relativity in physics, 5) whether the first-person (...)
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  • Stages versus continuity.Christopher Wills - 1993 - Behavioral and Brain Sciences 16 (4):773-773.
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  • Memory, text and the Greek Revolution.Jocelyn Penny Small - 1993 - Behavioral and Brain Sciences 16 (4):769-770.
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  • Language equals mimesis plus speech.Aarre Laakso - 1993 - Behavioral and Brain Sciences 16 (4):765-766.
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  • Lessons from evolution for artificial intelligence?Rudi Lutz - 1993 - Behavioral and Brain Sciences 16 (4):766-766.
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  • Cultural transitions occur when mind parasites learn new tricks.Liane M. Gabora - 1993 - Behavioral and Brain Sciences 16 (4):760-761.
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  • The modern mind: Its missing parts?R. I. M. Dunbar - 1993 - Behavioral and Brain Sciences 16 (4):758-759.
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  • From cooperative computation to man/machine symbiosis.Michael A. Arbib - 1993 - Behavioral and Brain Sciences 16 (4):748-749.
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  • “Pop science” versus understanding the emergence of the modern mind.C. Loring Brace - 1993 - Behavioral and Brain Sciences 16 (4):750-751.
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  • Mimetic culture and modern sports: A synthesis.Bruce Bridgeman & Margarita Azmitia - 1993 - Behavioral and Brain Sciences 16 (4):751-752.
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  • Episodic is what apes are not.Keith Stenning - 1996 - Behavioral and Brain Sciences 19 (1):158-159.
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  • Empirical and theoretical active memory: The proper context.Daniel J. Amit - 1995 - Behavioral and Brain Sciences 18 (4):645-657.
    The context of the target article is delimited again, underlining the intended locationof the argument in the bottomup hierarchy of brain study. The central message is that collective delay activity distributions (reverberations) in cortical modules extend the role of a spike (a potentialinformation carrier across long distances) to an active memory of structured, learned information that can be carried across long time intervals. Moreover, the population code of the reverberations makes them readable down the cortical processing stream. Most of the (...)
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  • How do local reverberations achieve global integration?J. J. Wright - 1995 - Behavioral and Brain Sciences 18 (4):644-645.
    Amit's Hebbian model risks being overexplanatory, since it does not depend on specific physiological modelling of cortical ANNs, but concentrates on those phenomena which are modelled by a large class of ANNs. While offering a strong demonstration of the presence of Hebb's “cell assemblies,” it does not offer an equal account of Hebb's “phase sequence” concept.
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  • Hebb's accomplishments misunderstood.Michael Hucka, Mark Weaver & Stephen Kaplan - 1995 - Behavioral and Brain Sciences 18 (4):635-636.
    Amit's efforts to provide stronger theoretical and empirical support for Hebb's cell-assembly concept is admirable, but we have serious reservations about the perspective presented in the target article. For Hebb, the cell assembly was a building block; by contrast, the framework proposed here eschews the need to fit the assembly into a broader picture of its function.
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  • The functional meaning of reverberations for sensoric and contextual encoding.Wolfgang Klimesch - 1995 - Behavioral and Brain Sciences 18 (4):636-636.
    Amit argues that the local neuronal spike rate that persists (reverberating) in the absence of the eliciting stimulus represents the code of the eliciting stimulus. Based on the general argument that the inferred functional meaning of reverberation depends in part on the type of representational assumptions, reverberations may only be important for the encoding of contextual information.
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  • Distributed cell assemblies and detailed cell models.Anders Lansner & Erik Fransén - 1995 - Behavioral and Brain Sciences 18 (4):637-638.
    Hebbian cell-assembly theory and attractor networks are good starting points for modeling cortical processing. Detailed cell models can be useful in understanding the dynamics of attractor networks. Cell assemblies are likely to be distributed, with the cortical column as the local processing unit. Synaptic memory may be dominant in all but the first couple of seconds.
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  • The problems of cognitive dynamical models.Jean Petitot - 1995 - Behavioral and Brain Sciences 18 (4):640-640.
    Amit's “Attractor Neural Network” perspective on cognition raises difficult technical problems already met by prior dynamical models. This commentary sketches briefly some of them concerning the internal topological structure of attractors, the constituency problem, the possibility of activating simultaneously several attractors, and the different kinds of dynamical structures one can use to model brain activity: point attractors, strange attractors, synchronized arrays of oscillators, synfire chains, and so forth.
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  • How to decide whether a neural representation is a cognitive concept?Maartje E. J. Raijmakers & Peter C. M. Molenaar - 1995 - Behavioral and Brain Sciences 18 (4):641-642.
    A distinction should be made between the formation of stimulus-driven associations and cognitive concepts. To test the learning mode of a neural network, we propose a simple and classic input-output test: the discrimination shift task. Feed-forward PDP models appear to form stimulus-driven associations. A Hopfield network should be extended to apply the test.
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  • The Hebbian paradigm reintegrated: Local reverberations as internal representations.Daniel J. Amit - 1995 - Behavioral and Brain Sciences 18 (4):617-626.
    The neurophysiological evidence from the Miyashita group's experiments on monkeys as well as cognitive experience common to us all suggests that local neuronal spike rate distributions might persist in the absence of their eliciting stimulus. In Hebb's cell-assembly theory, learning dynamics stabilize such self-maintaining reverberations. Quasi-quantitive modeling of the experimental data on internal representations in association-cortex modules identifies the reverberations (delay spike activity) as the internal code (representation). This leads to cognitive and neurophysiological predictions, many following directly from the language (...)
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  • Episodic future thinking.Cristina M. Atance & Daniela K. O'Neill - 2001 - Trends in Cognitive Sciences 5 (12):533-539.
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  • Identification, masking, and priming: Clarifying the issues.Lindsay J. Evett, Glyn W. Humphreys & Philip T. Quinlan - 1986 - Behavioral and Brain Sciences 9 (1):31-32.
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  • Effects of hippocampal lesions on some operant visual discrimination tasks.Michael L. Woodruff & Dennis L. Whittington - 1985 - Behavioral and Brain Sciences 8 (3):513-514.
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  • Précis of Origins of the modern mind: Three stages in the evolution of culture and cognition.Merlin Donald - 1993 - Behavioral and Brain Sciences 16 (4):737-748.
    This bold and brilliant book asks the ultimate question of the life sciences: How did the human mind acquire its incomparable power? In seeking the answer, Merlin Donald traces the evolution of human culture and cognition from primitive apes to the era of artificial intelligence, and presents an original theory of how the human mind evolved from its presymbolic form. In the emergence of modern human culture, Donald proposes, there were three radical transitions. During the first, our bipedal but still (...)
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  • Visual attention, conceptual content, and doing it right.Wayne Wu - 2008 - Mind 117 (468):1003-1033.
    Reflection on the fine-grained information required for visual guidance of action has suggested that visual content is non-conceptual. I argue that in a common type of visually guided action, namely the use of manipulable artefacts, vision has conceptual content. Specifically, I show that these actions require visual attention and that concepts are involved in directing attention. In acting with artefacts, there is a way of doing it right as determined by the artefact’s conventional use. Attention must reflect our understanding of (...)
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  • The evolution of foresight: What is mental time travel, and is it unique to humans?Thomas Suddendorf & Michael C. Corballis - 2007 - Behavioral and Brain Sciences 30 (3):299-313.
    In a dynamic world, mechanisms allowing prediction of future situations can provide a selective advantage. We suggest that memory systems differ in the degree of flexibility they offer for anticipatory behavior and put forward a corresponding taxonomy of prospection. The adaptive advantage of any memory system can only lie in what it contributes for future survival. The most flexible is episodic memory, which we suggest is part of a more general faculty of mental time travel that allows us not only (...)
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  • The meaning of “time” in episodic memory and mental time travel.William J. Friedman - 2007 - Behavioral and Brain Sciences 30 (3):323-323.
    The role of time in episodic memory and mental time travel is considered in light of findings on humans' temporal memory and anticipation. Time is not integral or uniform in memory for the past or anticipation of the future. The commonalities of episodic memory and anticipation require further study.
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  • Semantic activation without conscious identification in dichotic listening, parafoveal vision, and visual masking: A survey and appraisal.Daniel Holender - 1986 - Behavioral and Brain Sciences 9 (1):1-23.
    When the stored representation of the meaning of a stimulus is accessed through the processing of a sensory input it is maintained in an activated state for a certain amount of time that allows for further processing. This semantic activation is generally accompanied by conscious identification, which can be demonstrated by the ability of a person to perform discriminations on the basis of the meaning of the stimulus. The idea that a sensory input can give rise to semantic activation without (...)
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  • Emotion in languaging: languaging as affective, adaptive, and flexible behavior in social interaction.Thomas W. Jensen - 2014 - Frontiers in Psychology 5:96268.
    This article argues for a view on languaging as inherently affective. Informed by recent ecological tendencies within cognitive science and distributed language studies a distinction between first order languaging (language as whole-body sense making) and second order language (language as system like constraints) is put forward. Contrary to common assumptions within linguistics and communication studies separating language-as-a-system from language use (resulting in separations between language vs. body-language and verbal vs. non-verbal communication etc.) the first/second order distinction sees language as emanating (...)
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  • Comparing human evaluations of eyewitness statements to a machine learning classifier under pristine and suboptimal lineup administration procedures.Jesse H. Grabman, Ian G. Dobbins & Chad S. Dodson - 2024 - Cognition 251 (C):105876.
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  • What has episodic memory got to do with space and time?Ian Phillips - forthcoming - In Lynn Nadel & Sara Aronowitz (eds.), Space, Time, and Memory. Oxford University Press.
    It is widely held that episodic memory is constitutively connected with space and time. In particular, many contend that episodic memory constitutively has spatial and/or temporal content: for instance, necessarily representing a spatial scene, or when a given event occurred, or at the very minimum that it occurred in the past. Here, I critically assess such claims. I begin with some preparatory remarks on the nature of episodic memory. I then ask: How, if at all, is episodic memory constitutively spatial? (...)
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  • Inattentive Perception, Time, and the Incomprehensibility of Consciousness.Jürgen Krüger - 2022 - Frontiers in Psychology 12:804652.
    Cerebral energy supply is insufficient to support continuous neuronal processing of the plethora of time-constant objects that we are aware of. As a result, the brain is forced to limit processing resources to (the most relevant) cases ofchange. The neuronally generated world is thus temporally discontinuous. This parallels the fact that, in all relevant microscopic fundamental equations of nature, temporalchangeplays a dominant role. When a scientist calculates a “solution” to such an equation, integration over time is an essential step. The (...)
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  • The impure phenomenology of episodic memory.Alexandria Boyle - 2019 - Mind and Language 35 (5):641-660.
    Episodic memory has a distinctive phenomenology: it involves “mentally reliving” a past event. It has been suggested that characterising episodic memory in terms of this phenomenology makes it impossible to test for in animals, because “purely phenomenological features” cannot be detected in animal behaviour. Against this, I argue that episodic memory's phenomenological features are impure, having both subjective and objective aspects, and so can be behaviourally detected. Insisting on a phenomenological characterisation of episodic memory consequently does nothing to damage the (...)
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  • Affective and Semantic Representations of Valence: A Conceptual Framework.Oksana Itkes & Assaf Kron - 2019 - Emotion Review 11 (4):283-293.
    The current article discusses the distinction between affective valence—the degree to which an affective response represents pleasure or displeasure—and semantic valence, the degree to which an object or event is considered positive or negative. To date, measures that reflect positivity and negativity are usually placed under the same conceptual umbrella (e.g., valence, affective, emotional), with minimal distinction between the modes of valence they reflect. Recent work suggests that what might seem to reflect a monolithic structure of valence has at least (...)
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  • Above and beyond the concrete: The diverse representational substrates of the predictive brain.Michael Gilead, Yaacov Trope & Nira Liberman - 2020 - Behavioral and Brain Sciences 43:e121.
    In recent years, scientists have increasingly taken to investigate the predictive nature of cognition. We argue that prediction relies on abstraction, and thus theories of predictive cognition need an explicit theory of abstract representation. We propose such a theory of the abstract representational capacities that allow humans to transcend the “here-and-now.” Consistent with the predictive cognition literature, we suggest that the representational substrates of the mind are built as ahierarchy, ranging from the concrete to the abstract; however, we argue that (...)
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  • Far-Persons.Gary Comstock - 2017 - In Woodhall Andrew & Garmendia da Trindade Gabriel (eds.), Ethics and/or Politics: Approaching the Issues Concerning Nonhuman Animals. Palgrave. pp. 39-71.
    I argue for the moral relevance of a category of individuals I characterize as far-persons. Following Gary Varner, I distinguish near-persons, animals with a " robust autonoetic consciousness " but lacking an adult human's " biographical sense of self, " from the merely sentient, those animals living "entirely in the present." I note the possibility of a third class. Far-persons lack a biographical sense of self, possess a weak autonoetic consciousness, and are able to travel mentally through time a distance (...)
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  • Cognitive autoimmunity knowledge, ignorance and self-deception.Selene Arfini & Lorenzo Magnani - 2016 - Logic Journal of the IGPL 24 (1).
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  • Emotional words can be embodied or disembodied: the role of superficial vs. deep types of processing.Ensie Abbassi, Isabelle Blanchette, Ana I. Ansaldo, Habib Ghassemzadeh & Yves Joanette - 2015 - Frontiers in Psychology 6.
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  • (1 other version)Did courtship drive the evolution of mind?Eric B. Baum - 1996 - Behavioral and Brain Sciences 19 (1):155-156.
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