Search results for 'Cognitive Processes' (try it on Scholar)

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  1. Robert W. Kentridge & Charles A. Heywood (2001). Attention and Alerting: Cognitive Processes Spared in Blindsight. In Beatrice De Gelder, Edward H. F. De Haan & Charles A. Heywood (eds.), Out of Mind: Varieties of Unconscious Processes. Oxford University Press.score: 78.0
  2. Tobias Egner & Amir Raz (2007). Cognitive Control Processes and Hypnosis. In Graham A. Jamieson (ed.), Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford University Press.score: 69.0
  3. Mark Rowlands (1999). The Body in Mind: Understanding Cognitive Processes. Cambridge University Press.score: 62.0
    In this book, Mark Rowlands challenges the Cartesian view of the mind as a self-contained monadic entity, and offers in its place a radical externalist or environmentalist model of cognitive processes. Drawing on both evolutionary theory and a detailed examination of the processes involved in perception, memory, thought and language use, Rowlands argues that cognition is, in part, a process whereby creatures manipulate and exploit relevant objects in their environment. This innovative book provides a foundation for an (...)
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  4. James Virtel & Gualtiero Piccinini (2010). Are Prototypes and Exemplars Used in Distinct Cognitive Processes? Behavioral and Brain Sciences 33 (2-3):226-227.score: 60.0
    We argue that Machery provides no convincing evidence that prototypes and exemplars are typically used in distinct cognitive processes. This partially undermines the fourth tenet of the Heterogeneity Hypothesis and thus casts doubts on Machery’s way of splitting concepts into different kinds. Although Machery may be right that concepts split into different kinds, such kinds may be different from those countenanced by the Heterogeneity Hypothesis.
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  5. Graeme S. Halford, William H. Wilson & Steven Phillips (1998). Relational Complexity Metric is Effective When Assessments Are Based on Actual Cognitive Processes. Behavioral and Brain Sciences 21 (6):848-860.score: 60.0
    The core issue of our target article concerns how relational complexity should be assessed. We propose that assessments must be based on actual cognitive processes used in performing each step of a task. Complexity comparisons are important for the orderly interpretation of research findings. The links between relational complexity theory and several other formulations, as well as its implications for neural functioning, connectionist models, the roles of knowledge, and individual and developmental differences, are considered.
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  6. Ulrich Hoffrage (2000). Why the Analyses of Cognitive Processes Matter. Behavioral and Brain Sciences 23 (5):679-680.score: 60.0
    Stanovich & West analyze individual differences with respect to response output (e.g., participants' numerical estimates). They do not analyze the underlying cognitive processes that led to the outputs; they thereby probably misclassify some non-normative responses as normative. Using base rate neglect and overconfidence as examples, I demonstrate the advantages of analyzing cognitive processes further.
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  7. Frank van der Velde & Marc de Kamps (2002). Synchrony in the Eye of the Beholder: An Analysis of the Role of Neural Synchronization in Cognitive Processes. Brain and Mind 3 (3):291-312.score: 60.0
    We discuss the role of synchrony of activationin higher-level cognitive processes. Inparticular, we analyze the question of whethersynchrony of activation provides a mechanismfor compositional representation in neuralsystems. We will argue that synchrony ofactivation does not provide a mechanism forcompositional representation in neural systems.At face value, one can identify a level ofcompositional representation in the models thatintroduce synchrony of activation for thispurpose. But behavior in these models isalways produced by means conjunctiverepresentations in the form of coincidencedetectors. Therefore, models that (...)
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  8. Luca Pezzullo (2002). Cheating Neuropsychologists: A Study of Cognitive Processes Involved in Scientific Anomalies Resolution. Mind and Society 3 (1):43-50.score: 60.0
    This research was carried out to explore some of the cognitive processes involved in scientific anomalies resolution. 40 subjects with a good neuropsychology expertise were asked to explain two (invented) anomalous neuropsychological cases. The subjects' efforts to give a meaningful structure to the data were recorded, and the resulting reasoning blocks were analysed to extract and compute the inferential (deductive, inductive and abductive) and analogical processes used. The processes were intercorrelated to experimentally verify the co-occurrence of (...)
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  9. Charles D. Yingling (2001). Neural Mechanisms of Unconscious Cognitive Processing. Clinical Neurophysiology 112 (1):157-158.score: 51.0
  10. James P. Crutchfield (1998). Dynamical Embodiments of Computation in Cognitive Processes. Behavioral and Brain Sciences 21 (5):635-635.score: 49.0
    Dynamics is not enough for cognition, nor it is a substitute for information-processing aspects of brain behavior. Moreover, dynamics and computation are not at odds, but are quite compatible. They can be synthesized so that any dynamical system can be analyzed in terms of its intrinsic computational components.
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  11. Leo R. Ward (2003). Synchronous Neural Oscillations and Cognitive Processes. Trends in Cognitive Sciences 7:553-559.score: 48.0
  12. Frederic Laville (2000). Foundations of Procedural Rationality: Cognitive Limits and Decision Processes. Economics and Philosophy 16 (1):117-138.score: 48.0
    Many criticisms have been made of optimization theory (Laville, 1999a). These objections may be explained by the fact that human rationality is bounded – that decisions are constrained by cognitive limitations (Simon, 1982). In the present paper, I will show that if rationality is bounded, then we must study the processes of decision. My thesis is that cognitive limitations lead to procedural rationality. Although this assertion has already been sustained implicitly by Simon (1959) and explicitly by Mongin (...)
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  13. Aaron V. Cicourel (2006). Cognitive/Affective Processes, Social Interaction, and Social Structure as Representational Re-Descriptions: Their Contrastive Bandwidths and Spatio-Temporal Foci. Mind and Society 5 (1):39-70.score: 48.0
    Research on brain or cognitive/affective processes, culture, social interaction, and structural analysis are overlapping but often independent ways humans have attempted to understand the origins of their evolution, historical, and contemporary development. Each level seeks to employ its own theoretical concepts and methods for depicting human nature and categorizing objects and events in the world, and often relies on different sources of evidence to support theoretical claims. Each level makes reference to different temporal bandwidths (milliseconds, seconds, minutes, hours, (...)
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  14. Victoria F. Shaw (1996). The Cognitive Processes in Informal Reasoning. Thinking and Reasoning 2 (1):51 – 80.score: 48.0
    Two experiments investigated the factors that people consider when evaluating informal arguments in newspaper and magazine editorials. Experiment 1 showed that subjects were more likely to object to the truth of the premises and the conclusions of an argument than to the strength of the link between them. Experiment 1 also revealed two manipulations that helped subjects object to the link between premises and conclusions: rating how well the premises support the conclusions and rating the believability of the premises and (...)
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  15. John A. Smith (2006). Qualitative Complexity: Ecology, Cognitive Processes and the Re-Emergence of Structures in Post-Humanist Social Theory. Routledge.score: 48.0
    Qualitative Complexity offers a critique of the humanist paradigm in contemporary social theory. Drawing from sources in sociology, philosophy, complexity theory, 'fuzzy logic', systems theory, cognitive science and evolutionary biology, the authors present a new series of interdisciplinary perspectives on the sociology of complex, self-organizing structures.
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  16. Andrea Pozzali (2007). Can Tacit Knowledge Fit Into a Computer Model of Scientific Cognitive Processes? The Case of Biotechnology. Mind and Society 6 (2):211-224.score: 48.0
    This paper tries to express a critical point of view on the computational turn in philosophy by looking at a specific field of study: philosophy of science. The paper starts by briefly discussing the main contributions that information and communication technologies have given to the rising of computational philosophy of science, and in particular to the cognitive modelling approach. The main question then arises, concerning how computational models can cope with the presence of tacit knowledge in science. Would it (...)
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  17. Mike Oaksford & Nick Chater (2012). Dual Processes, Probabilities, and Cognitive Architecture. Mind and Society 11 (1):15-26.score: 48.0
    It has been argued that dual process theories are not consistent with Oaksford and Chater’s probabilistic approach to human reasoning (Oaksford and Chater in Psychol Rev 101:608–631, 1994 , 2007 ; Oaksford et al. 2000 ), which has been characterised as a “single-level probabilistic treatment[s]” (Evans 2007 ). In this paper, it is argued that this characterisation conflates levels of computational explanation. The probabilistic approach is a computational level theory which is consistent with theories of general cognitive architecture that (...)
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  18. Stephen P. Turner (1989). Tacit Knowledg and the Problem of Computer Modelling Cognitive Processes in Science. In Steve Fuller (ed.), The Cognitive Turn: Sociological and Psychological Perspectives on Science. Kluwer Academic Publishers.score: 48.0
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  19. William R. Uttal (2001). The New Phrenology: The Limits of Localizing Cognitive Processes in the Brain. MIT Press.score: 47.0
  20. G. Caldwell & L. Riby (2007). The Effects of Music Exposure and Own Genre Preference on Conscious and Unconscious Cognitive Processes: A Pilot ERP Study. Consciousness and Cognition 16 (4):992-996.score: 46.0
  21. Robert Kozma (2001). Fragmented Attractor Boundaries in the KIII Model of Sensory Information Processing: A Potential Evidence of Cantor Encoding in Cognitive Processes. Behavioral and Brain Sciences 24 (5):820-821.score: 46.0
    Spatio-temporal neuro-dynamics is a quickly developing field of brain research and Tsuda's work is a significant contribution toward establishing theoretical foundations in this area. It is conceivable that the fragmented attractor landscapes and dynamical memory patterns identified earlier in various K-sets are biologically plausible manifestations of attractor ruins, chaotic itinerancy, and Cantor encoding as applied to sensory information processing.
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  22. Liliana Albertazzi (2007). At the Roots of Consciousness: Intentional Presentations. Journal of Consciousness Studies 14 (1):94-114.score: 45.0
    The Author argues for a non-semantic theory of intentionality, i.e. a theory of intentional reference rooted in the perceptive world. Specifically, the paper concerns two aspects of the original theory of intentionality: the structure of intentional objects as appearance (an unfolding spatio-temporal structure endowed with a direction), and the cognitive processes involved in a psychic act at the primary level of cognition. Examples are given from the experimental psychology of vision, with a particular emphasis on the relation between (...)
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  23. William R. Uttal (2002). Précis of the New Phrenology: The Limits of Localizing Cognitive Processes in the Brain. Brain and Mind 3 (2):221-228.score: 45.0
  24. Henri Atlan (1994). Intentionality in Nature. Against an All-Encompassing Evolutionary Paradigm: Evolutionary and Cognitive Processes Are Not Instances of the Same Process. Journal for the Theory of Social Behaviour 24 (1):67–87.score: 45.0
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  25. Michael Spivey & Sarah Cargill (2007). Toward a Continuity of Consciousness. Journal of Consciousness Studies 14 (1):216-233.score: 45.0
    Real-time cognition is continuous in time and contiguous in mental state space. This temporal continuity implies that the majority of mental life is spent in states that are partially consistent with multiple representations. The state-space contiguity implies that different cognitive processes interact in ways that make them quite non-modular. As the evidence for such information-permeability expands to include not just neural subsystems but also the entire brain and even the entire organism, this radical interactionism leads one to hypothesize (...)
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  26. Joshua Knobe (2005). Cognitive Processes Shaped by the Impulse to Blame. Brooklyn Law Review 71:929-937.score: 45.0
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  27. Joseph M. Notterman (2000). Note on Reductionism in Cognitive Psychology: Reification of Cognitive Processes Into Mind, Mind-Brain Equivalence, and Brain-Computer Analogy. Journal of Theoretical and Philosophical Psychology 20 (2):116-121.score: 45.0
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  28. Gualtiero Piccinini & James Virtel (2010). Are Prototypes and Exemplars Used in Distinct Cognitive Processes? Behavioral and Brain Sciences 33:226-227.score: 45.0
    Machery’s argument that concepts split into different kinds is bold and inspiring but not fully persuasive. We will focus on the lack of evidence for the fourth tenet of Machery’s..
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  29. John G. Adair & Barry Spinner (1981). Subjects' Access to Cognitive Processes: Demand Characteristics and Verbal Report. Journal for the Theory of Social Behaviour 11 (1):31–52.score: 45.0
  30. Andrew Dole (2002). Cognitive Faculties, Cognitive Processes, and the Holy Spirit in Plantinga's Warrant Series. Faith and Philosophy 19 (1):32-46.score: 45.0
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  31. Valerie Gray Hardcastle (1997). ERPs and the Modularity of Cognitive Processes. Behavioral and Brain Sciences 20 (3):520-521.score: 45.0
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  32. Michael Martin (1973). Are Cognitive Processes and Structure a Myth? Analysis 33 (3):83 - 88.score: 45.0
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  33. Yuxin Jia (1992). Cognitive Processes Involved in the Recognition of Chinese Characters. Diogenes 40 (157):67-87.score: 45.0
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  34. J. S. Antrobus, Jerome L. Singer & Sean Greenberg (1966). Studies in the Stream of Consciousness: Experimental Enhancement and Suppression of Spontaneous Cognitive Processes. Perceptual and Motor Skills 23:399-417.score: 45.0
     
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  35. A. Millar (2001). The Body in Mind: Understanding Cognitive Processes. Philosophical Review 110 (4):621-623.score: 45.0
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  36. Michał Strizenec (2002). Religiosity and Cognitive Processes. Dialogue and Universalism 12 (8-10):129-140.score: 45.0
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  37. Georges Vignaux (1992). From Negation to ?Notion?: Cognitive Processes and Argumentative Strategies. Argumentation 6 (1):29-39.score: 45.0
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  38. Russell Epstein (2000). The Neural-Cognitive Basis of the Jamesian Stream of Thought. Consciousness and Cognition 9 (4):550-575.score: 43.0
    William James described the stream of thought as having two components: (1) a nucleus of highly conscious, often perceptual material; and (2) a fringe of dimly felt contextual information that controls the entry of information into the nucleus and guides the progression of internally directed thought. Here I examine the neural and cognitive correlates of this phenomenology. A survey of the cognitive neuroscience literature suggests that the nucleus corresponds to a dynamic global buffer formed by interactions between different (...)
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  39. P. Cicogna & M. Bosinelli (2001). Consciousness During Dreams. Consciousness and Cognition 10 (1):26-41.score: 43.0
    Two aspects of consciousness are first considered: consciousness as awareness (phenomenological meaning) and consciousness as strategic control (functional meaning). As to awareness, three types can be distinguished: first, awareness as the phenomenal experiences of objects and events; second, awareness as meta-awareness, i.e., the awareness of mental life itself; third, awareness as self-awareness, i.e., the awareness of being oneself. While phenomenal experience and self-awareness are usually present during dreaming (even if many modifications are possible), meta-awareness is usually absent (apart from some (...)
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  40. Daniel M. Wegner (2005). Who is the Controller of Controlled Processes? In Ran R. Hassin, James S. Uleman & John A. Bargh (eds.), The New Unconscious. Oxford Series in Social Cognition and Social Neuroscience. Oxford University Press.score: 43.0
    Are we the robots? This question surfaces often in current psychological re- search, as various kinds of robot parts-automatic actions, mental mechanisms, even neural circuits-keep appearing in our explanations of human behavior. Automatic processes seem responsible for a wide range of the things we do, a fact that may leave us feeling, if not fully robotic, at least a bit nonhuman. The complement of the automatic process in contemporary psychology, of course, is the controlled process (Atkinson & Shiffrin, 1968; (...)
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  41. J. Decety & T. Chaminade (2003). When the Self Represents the Other: A New Cognitive Neuroscience View on Psychological Identification. Consciousness and Cognition 12 (4):577-596.score: 43.0
    There is converging evidence from developmental and cognitive psychology, as well as from neuroscience, to suggest that the self is both special and social, and that self-other interaction is the driving force behind self-development. We review experimental findings which demonstrate that human infants are motivated for social interactions and suggest that the development of an awareness of other minds is rooted in the implicit notion that others are like the self. We then marshal evidence from functional neuroimaging explorations of (...)
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  42. J. Bickle, C. Worley & M. Bernstein (2000). Vector Subtraction Implemented Neurally: A Neurocomputational Model of Some Sequential Cognitive and Conscious Processes. Consciousness and Cognition 9 (1):117-144.score: 43.0
    Although great progress in neuroanatomy and physiology has occurred lately, we still cannot go directly to those levels to discover the neural mechanisms of higher cognition and consciousness. But we can use neurocomputational methods based on these details to push this project forward. Here we describe vector subtraction as an operation that computes sequential paths through high-dimensional vector spaces. Vector-space interpretations of network activity patterns are a fruitful resource in recent computational neuroscience. Vector subtraction also appears to be implemented neurally (...)
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  43. Jason L. Megill (2003). What Role Do the Emotions Play in Cognition? Towards a New Alternative to Cognitive Theories of Emotion. Consciousness and Emotion 4 (1):81-100.score: 42.0
    This paper has two aims: (1) to point the way towards a novel alternative to cognitive theories of emotion, and (2) to delineate a number of different functions that the emotions play in cognition, functions that become visible from outside the framework of cognitive theories. First, I hold that the Higher Order Representational (HOR) theories of consciousness ? as generally formulated ? are inadequate insofar as they fail to account for selective attention. After posing this dilemma, I resolve (...)
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  44. Bernhard Hommel (2007). Consciousness and Control: Not Identical Twins. Journal of Consciousness Studies 14 (1):155-176.score: 42.0
    Human cognition and action are intentional and goal-directed, and explaining how they are controlled is one of the most important tasks of the cognitive sciences. After half a century of benign neglect this task is enjoying increased attention. Unfortunately, however, current theorizing about control in general, and the role of consciousness for/in control in particular, suffers from major conceptual flaws that lead to confusion regarding the following distinctions: (i) automatic and unintentional processes, (ii) exogenous control and disturbance (in (...)
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  45. Timo Järvilehto (2001). Feeling as Knowing--Part II: Emotion, Consciousness and Brain Activity. Consciousness and Emotion. Special Issue 2 (1):75-102.score: 42.0
    In the latter part of this two-article sequence, the concept of emotion as reorganization of the organism-environment system is developed further in relation to consciousness, subjective experience and brain activity. It is argued that conscious emotions have their origin in reorganizational changes in primitive co-operative organizations, in which they get a more local character with the advent of personal consciousness and individuality, being expressed in conscious emotions. However, the conscious emotion is not confined to the individual only, but it gets (...)
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  46. Eddy J. Davelaar (2011). Processes Versus Representations: Cognitive Control as Emergent, Yet Componential. Topics in Cognitive Science 3 (2):247-252.score: 42.0
    In this commentary, I focus on the difference between processes and representations and how this distinction relates to the question of what is controlled. Despite some views that task switching is a prototypical control process, the analysis concludes that task switching depends on the task goal representation and that control processes are there to prevent goal representations from disintegrating. Over time, these processes become obsolete, leaving behind a representation that automatically controls task performance. The distinction between (...) and representations relates to practice effects and automaticity and sheds light on what is meant by the phrase “automatic control.”. (shrink)
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  47. Ralph D. Ellis (1997). Purposeful Processes, Personalism, and the Contemporary Natural and Cognitive Sciences. Personalist Forum 13 (1):49-67.score: 42.0
  48. Warren Mansell (2000). Conscious Appraisal and the Modification of Automatic Processes in Anxiety. Behavioural and Cognitive Psychotherapy 28 (2):99-120.score: 42.0
  49. Robyn J. Cohen & John E. Calamari (2004). Thought-Focused Attention and Obsessive-Compulsive Symptoms: An Evaluation of Cognitive Self-Consciousness in a Nonclinical Sample. Cognitive Therapy and Research 28 (4):457-471.score: 42.0
     
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  50. Markus Kiefer & Doreen Brendel (2006). Attentional Modulation of Unconscious "Automatic" Processes: Evidence From Event-Related Potentials in a Masked Priming Paradigm. Journal of Cognitive Neuroscience 18 (2):184-198.score: 42.0
  51. M. Oswald & Volker Gadenne (2000). Are Controlled Processes Conscious? In Walter J. Perrig & Alexander Grob (eds.), Control of Human Behavior, Mental Processes, and Consciousness: Essays in Honor of the 60th Birthday of August Flammer. Lawrence Erlbaum Associates.score: 42.0
     
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  52. Tony Ro (2006). The Cognitive Neuroscience of Unconscious and Conscious Vision. In Haluk Ögmen & Bruno G. Breitmeyer (eds.), The First Half Second: The Microgenesis and Temporal Dynamics of Unconscious and Conscious Visual Processes. Mit Press.score: 42.0
  53. Stanislas Dehaene & Lionel Naccache (2001). Towards a Cognitive Neuroscience of Consciousness: Basic Evidence and a Workspace Framework. Cognition 79 (1):1-37.score: 40.0
  54. René Zeelenberg, Gijs Plomp & Jeroen G. W. Raaijmakers (2003). Can False Memories Be Created Through Nonconscious Processes? Consciousness and Cognition 12 (3):403-412.score: 40.0
    Presentation times of study words presented in the Deese/Roediger and McDermott (DRM) paradigm varied from 20 to 2000 ms per word in an attempt to replicate the false memory effect following extremely short presentations reported by . Both in a within-subjects design (Experiment 1) and in a between-subjects design (Experiment 2) subjects showed memory for studied words as well as a false memory effect for related critical lures in the 2000-ms condition. However, in the conditions with shorter presentation times (20 (...)
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  55. Murray Shanahan (2006). A Cognitive Architecture That Combines Internal Simulation with a Global Workspace. Consciousness and Cognition 15 (2):433-449.score: 40.0
  56. J. Feinstein, M. Stein, G. Castillo & M. Paulus (2004). From Sensory Processes to Conscious Perception. Consciousness and Cognition 13 (2):323-335.score: 40.0
  57. Bruno G. Breitmeyer, Haluk Ogmen & Jian Chen (2004). Unconscious Priming by Color and Form: Different Processes and Levels. Consciousness and Cognition 13 (1):138-157.score: 40.0
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  58. David A. Gallo & John G. Seamon (2004). Are Nonconscious Processes Sufficient to Produce False Memories? Consciousness and Cognition 13 (1):158-168.score: 40.0
  59. Jeroen G. W. Raaijmakers & René Zeelenberg (2004). Evaluating the Evidence for Nonconscious Processes in Producing False Memories. Consciousness and Cognition 13 (1):169-172.score: 40.0
  60. Elizabeth A. Phelps (2005). The Interaction of Emotion and Cognition: The Relation Between the Human Amygdala and Cognitive Awareness. In Ran R. Hassin, James S. Uleman & John A. Bargh (eds.), The New Unconscious. Oxford Series in Social Cognition and Social Neuroscience. Oxford University Press.score: 40.0
     
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  61. Anthony P. Atkinson, Michael S. C. Thomas & Axel Cleeremans (2000). Consciousness: Mapping the Theoretical Landscape. Trends in Cognitive Sciences 4 (10):372-382.score: 39.0
    What makes us conscious? Many theories that attempt to answer this question have appeared recently in the context of widespread interest about consciousness in the cognitive neurosciences. Most of these proposals are formulated in terms of the information processing conducted by the brain. In this overview, we survey and contrast these models. We first delineate several notions of consciousness, addressing what it is that the various models are attempting to explain. Next, we describe a conceptual landscape that addresses how (...)
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  62. Bill Faw (2004). Cognitive Neuroscience of Consciousness: A Review Article. [REVIEW] Journal of Consciousness Studies 11 (2):69-72.score: 39.0
  63. Joseph P. Forgas, Kipling D. Williams & Simon M. Laham (eds.) (2004). Social Motivation: Conscious and Unconscious Processes. Cambridge University Press.score: 39.0
    Ground-breaking research by leading international researchers on the nature, functions and characteristics of social motivation.
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  64. John A. Bargh (ed.) (2007). Social Psychology and the Unconscious: The Automaticity of Higher Mental Processes. Psychology Press.score: 39.0
  65. Maurizio Cardaci, Antonella D'Amico & Barbara Caci (2007). The Social Cognitive Theory: A New Framework for Implementing Artificial Consciousness. In Antonio Chella & Riccardo Manzotti (eds.), Artificial Consciousness. Imprint Academic.score: 39.0
  66. Korbinian Moeller, Elise Klein & Hans-Christoph Nuerk (2013). Influences of Cognitive Control on Numerical Cognition—Adaptation by Binding for Implicit Learning. Topics in Cognitive Science 5 (2):335-353.score: 39.0
    Recently, an associative learning account of cognitive control has been suggested (Verguts & Notebaert, 2009). In this so-called adaptation by binding theory, Hebbian learning of stimulus–stimulus and stimulus–response associations is assumed to drive the adaptation of human behavior. In this study, we evaluated the validity of the adaptation-by-binding account for the case of implicit learning of regularities within a stimulus set (i.e., the frequency of specific unit digit combinations in a two-digit number magnitude comparison task) and their association with (...)
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  67. Antti Revonsuo (2001). Imaging Consciousness: Can Cognitive Neuroscience Discover Visual Awareness in the Brain? In Paavo Pylkkanen & Tere Vaden (eds.), Dimensions of Conscious Experience. John Benjamins.score: 39.0
  68. Mikko Salmela (2002). The Problem of Affectivity in Cognitive Theories of Emotion. Consciousness and Emotion 3 (2):159-182.score: 39.0
  69. Bianca Vaterrodt-Plünnecke, Thomas Krüger & Jürgen Bredenkamp (2002). Process-Dissociation Procedure: A Testable Model for Considering Assumptions About the Stochastic Relation Between Consciously Controlled and Automatic Processes. Experimental Psychology 49 (1):3-26.score: 39.0
     
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  70. Stevan Harnad (2005). Distributed Processes, Distributed Cognizers and Collaborative Cognition. [Journal (Paginated)] (in Press) 13 (3):01-514.score: 38.0
    Cognition is thinking; it feels like something to think, and only those who can feel can think. There are also things that thinkers can do. We know neither how thinkers can think nor how they are able do what they can do. We are waiting for cognitive science to discover how. Cognitive science does this by testing hypotheses about what processes can generate what doing (“know-how”) This is called the Turing Test. It cannot test whether a process (...)
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  71. Merry Bullock (ed.) (1991). The Development of Intentional Action: Cognitive, Motivational, and Interactive Processes. Karger.score: 38.0
  72. Miltos Livaditis & Evgenia Tsatalmpasidou (2007). A Critical Review of the Physicalistic Approaches of the Mind and Consciousness. Cognitive Processing 8 (1):1-9.score: 37.0
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  73. Martin Desseilles, Thien Thanh Dang-Vu, Virginie Sterpenich & Sophie Schwartz (forthcoming). Cognitive and Emotional Processes During Dreaming: A Neuroimaging View. Consciousness and Cognition.score: 37.0
  74. J. Scott Jordan & Marcello Ghin (2007). The Role of Control in a Science of Consciousness: Causality, Regulation and Self-Sustainment. Journal of Consciousness Studies 14 (1):177-197.score: 36.0
    There is quite a bit of disagreement in cognitive science regarding the role that consciousness and control play in explanations of how people do what they do. The purpose of the present paper is to do the following: (1) examine the theoretical choice points that have lead theorists to conflicting positions, (2) examine the philosophical and empirical problems different theories encounter as they address the issue of conscious agency, and (3) provide an integrative framework (Wild Systems Theory) that addresses (...)
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  75. Lucas Bietti (2011). Cognitive Pragmatics: The Mental Processes of Communication. Philosophical Psychology 25 (4):1-5.score: 36.0
    Philosophical Psychology, Volume 25, Issue 4, Page 623-627, August 2012.
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  76. Ron McClamrock (1989). Holism Without Tears: Local and Global Effects in Cognitive Processing. Philosophy of Science 56 (June):258-74.score: 36.0
    The suggestion that cognition is holistic has become a prominent criticism of optimism about the prospects for cognitive science. This paper argues that the standard motivation for this holism, that of epistemological holism, does not justify this pessimism. An illustration is given of how the effects of epistemological holism on perception are compatible with the view that perceptual processes are highly modular. A suggestion for generalizing this idea to conceptual cognitive processing is made, and an account of (...)
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  77. Howard Shevrin, J. Bond, L. Brakel, R. Hertel & W. J. Williams (1996). Conscious and Unconscious Processes: Psychodynamic, Cognitive, and Neurophysiological Convergences. Guilford Press.score: 36.0
    This innovative volume attempts to bridge the theoretical gulf between the two approaches by providing objective evidence for unconscious conflict in...
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  78. P. Lewicki & T. Hill (1987). Unconscious Processes as Explanations of Behavior in Cognitive, Personality, and Social Psychology. Personality and Social Psychology Bulletin 13:355-362.score: 36.0
  79. Ron Sun, R. Mathews & and S. Lane, Implicit and Explicit Processes in the Development of Cognitive Skills: A Theoretical Interpretation with Some Practical Implications for Science Education.score: 36.0
    In: E. Vargios (ed.), Educational Psychology Research Focus, pp.1-26. Nova Science Publishers, Hauppauge, NY. 2007.
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  80. Ron Sun (2001). Computation, Reduction, and Teleology of Consciousness. Cognitive Systems Research 1 (1):241-249.score: 36.0
    This paper aims to explore mechanistic and teleological explanations of consciousness. In terms of mechanistic explanations, it critiques various existing views, especially those embodied by existing computational cognitive models. In this regard, the paper argues in favor of the explanation based on the distinction between localist (symbolic) representation and distributed representation (as formulated in the connectionist literature), which reduces the phenomenological difference to a mechanistic difference. Furthermore, to establish a teleological explanation of consciousness, the paper discusses the issue of (...)
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  81. Alfredo Pereira Júnior & Leonardo Ferreira Almada (2011). Conceptual Spaces and Consciousness: Integrating Cognitive and Affective Processes. International Journal of Machine Consciousness 3 (01):127-143.score: 36.0
  82. V. A. Ambartsumian & V. V. Kaziutinskii (1981). The Cognitive Dialectics of Evolutionary Processes in the Universe. Russian Studies in Philosophy 20 (3):25-59.score: 36.0
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  83. Anna Berti (2002). Unconscious Processing in Neglect. In Hans-Otto Karnath, David Milner & Giuseppe Vallar (eds.), The Cognitive and Neural Bases of Spatial Neglect. Oxford University Press.score: 36.0
     
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  84. Bruno G. Breitmeyer & Haluk Ögmen (2006). Visual Masking Reveals Differences Between the Nonconscious and Conscious Processing of Form and Surface Attributes. In Haluk Ögmen & Bruno G. Breitmeyer (eds.), The First Half Second: The Microgenesis and Temporal Dynamics of Unconscious and Conscious Visual Processes. Mit Press.score: 36.0
  85. Thomas C. Daddesio (forthcoming). The Cognitive Dimension of Semiosis and Its Relation to Biological and Socio-Cultural Processes. Semiotics:531-539.score: 36.0
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  86. Alvin David, Mark Moore & Dan Rusu (2002). Unconscious Information Processing, Hypnotic Amnesia, and the Misattribution of Arousal: Schachter and Singer's Theory Revised. Journal of Cognitive and Behavioral Psychotherapies 2 (1):23-33.score: 36.0
     
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  87. Jon Driver & Patrik Vuilleumier (2001). Unconscious Processing in Neglect and Extinction. In Beatrice De Gelder, Edward H. F. De Haan & Charles A. Heywood (eds.), Out of Mind: Varieties of Unconscious Processes. Oxford University Press.score: 36.0
     
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  88. Beatrice De Gelder, Jean Vroomen & Gilles Pourtois (2001). Covert Affective Cognition and Affective Blindsight. In Beatrice De Gelder, Edward H. F. De Haan & Charles A. Heywood (eds.), Out of Mind: Varieties of Unconscious Processes. Oxford University Press.score: 36.0
     
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  89. John M. Morris & Ray Dolan (2001). The Amygdala and Unconscious Fear Processing. In Beatrice De Gelder, Edward H. F. De Haan & Charles A. Heywood (eds.), Out of Mind: Varieties of Unconscious Processes. Oxford University Press.score: 36.0
  90. Peter Walla, Bernd Hufnagl, Johann Lehrner, Dagmar Mayer, Gerald Lindinger, Lüder Deecke & Wilfried Lang (2002). Evidence of Conscious and Subconscious Olfactory Information Processing During Word Encoding: A Magnetoencephalographic (MEG) Study. Cognitive Brain Research 14 (3):309-316.score: 36.0
     
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  91. T. T. J. Kircher & D. Leube (2003). Self-Consciousness, Self-Agency, and Schizophrenia. Consciousness and Cognition 12 (4):656-669.score: 34.0
    Empirical approaches on topics such as consciousness, self-awareness, or introspective perspective, need a conceptual framework so that the emerging, still unconnected findings can be integrated and put into perspective. We introduce a model of self-consciousness derived from phenomenology, philosophy, the cognitive, and neurosciences. We will then give an overview of research data on one particular aspect of our model, self-agency, trying to link findings from cognitive psychology and neuroscience. Finally, we will expand on pathological aspects of self-agency, and (...)
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  92. Moshe Bar (2000). Conscious and Nonconscious Processing of Visual Object Identity. In Yves Rossetti & Antti Revonsuo (eds.), Beyond Dissociation: Interaction Between Dissociated Implicit and Explicit Processing. John Benjamins.score: 34.0
  93. Eric Mandelbaum (2013). Numerical Architecture. Topics in Cognitive Science 5 (1):367-386.score: 34.0
    The idea that there is a “Number Sense” (Dehaene, 1997) or “Core Knowledge” of number ensconced in a modular processing system (Carey, 2009) has gained popularity as the study of numerical cognition has matured. However, these claims are generally made with little, if any, detailed examination of which modular properties are instantiated in numerical processing. In this article, I aim to rectify this situation by detailing the modular properties on display in numerical cognitive processing. In the process, I review (...)
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  94. Anthony I. Jack & T. Shallice (2001). Introspective Physicalism as an Approach to the Science of Consciousness. Cognition 79 (1):161-196.score: 34.0
    Most ?theories of consciousness? are based on vague speculations about the properties of conscious experience. We aim to provide a more solid basis for a science of consciousness. We argue that a theory of consciousness should provide an account of the very processes that allow us to acquire and use information about our own mental states ? the processes underlying introspection. This can be achieved through the construction of information processing models that can account for ?Type-C? processes. (...)
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  95. Albert Newen & Kai Vogeley (2003). Self-Representation: Searching for a Neural Signature of Self-Consciousness. Consciousness and Cognition 12 (4):529-543.score: 34.0
    Human self-consciousness operates at different levels of complexity and at least comprises five different levels of representational processes. These five levels are nonconceptual representation, conceptual representation, sentential representation, meta-representation, and iterative meta-representation. These different levels of representation can be operationalized by taking a first-person-perspective that is involved in representational processes on different levels of complexity. We refer to experiments that operationalize a first-person-perspective on the level of conceptual and meta-representational self-consciousness. Interestingly, these experiments show converging evidence for a (...)
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  96. Wilfried Kunde, Andrea Kiesel & Joachim Hoffman (2003). Conscious Control Over the Content of Unconscious Cognition. Cognition 88 (2):223-242.score: 34.0
  97. J. Scott Jordan (2003). Emergence of Self and Other in Perception and Action: An Event-Control Approach. Consciousness and Cognition 12 (4):633-646.score: 34.0
    The present paper analyzes the regularities referred to via the concept 'self.' This is important, for cognitive science traditionally models the self as a cognitive mediator between perceptual inputs and behavioral outputs. This leads to the assertion that the self causes action. Recent findings in social psychology indicate this is not the case and, as a consequence, certain cognitive scientists model the self as being epiphenomenal. In contrast, the present paper proposes an alternative approach (i.e., the event-control (...)
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  98. Yung-Chi Sung & Da-Lun Tang (2007). Unconscious Processing Embedded in Conscious Processing: Evidence From Gaze Time on Chinese Sentence Reading. Consciousness and Cognition 16 (2):339-348.score: 34.0
  99. Bruno G. Breitmeyer, Tony Ro & Haluk Ogmen (2004). A Comparison of Masking by Visual and Transcranial Magnetic Stimulation: Implications for the Study of Conscious and Unconscious Visual Processing. Consciousness and Cognition 13 (4):829-843.score: 34.0
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  100. Wilfried Kunde, Andrea Kiesel & Joachim Hoffmann (2005). On the Masking and Disclosure of Unconscious Elaborate Processing. A Reply to Van Opstal, Reynvoet, and Verguts (2005). Cognition 97 (1):99-105.score: 34.0
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