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  1. Modularity need not imply locality: Damaged modules can have nonlocal effects.Edgar Zurif & David Swinney - 1994 - Behavioral and Brain Sciences 17 (1):89-90.
  • What counts as local?Andrew W. Young - 1994 - Behavioral and Brain Sciences 17 (1):88-89.
  • The localization/distribution distinction in neuropsychology is related to the isomorphism/multiple meaning distinction in cell electrophysiology.Gerald S. Wasserman - 1994 - Behavioral and Brain Sciences 17 (1):87-88.
  • Paul Thagard, Mind: An Introduction to Cognitive Science. Cambridge, MA: The MIT Press1996. Pp. xi + 213. [REVIEW]Jonathan Waskan & William Bechtel - 1998 - Canadian Journal of Philosophy 28 (4):587-608.
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  • Paul Thagard, Mind: An Introduction to Cognitive Science. Cambridge, MA: The MIT Press1996. Pp. xi + 213. [REVIEW]Jonathan Waskan & William Bechtel - 1998 - Canadian Journal of Philosophy 28 (4):587-608.
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  • Younger apes and human children plan their moves in a maze task.Christoph J. Völter & Josep Call - 2014 - Cognition 130 (2):186-203.
  • The symbolic brain or the invisible hand?René van Hezewijk & Edward H. F. de Haan - 1994 - Behavioral and Brain Sciences 17 (1):85-86.
  • Playing Flourens to Fodor's Gall.Tim van Gelder - 1994 - Behavioral and Brain Sciences 17 (1):84-84.
  • Prosopagnosia, conscious awareness and the interactive brain.Robert Van Gulick - 1994 - Behavioral and Brain Sciences 17 (1):84-85.
  • The functional architecture of visual attention may still be modular.Carlo Umiltà - 1994 - Behavioral and Brain Sciences 17 (1):82-83.
  • Autonomic and EEG patterns during eyes-closed rest and transcendental meditation (TM) practice: The basis for a neural model of TM practice.Frederick Travis & R. Keith Wallace - 1999 - Consciousness and Cognition 8 (3):302-318.
    In this single-blind within-subject study, autonomic and EEG variables were compared during 10-min, order-balanced eyes-closed rest and Transcendental Meditation (TM) sessions. TM sessions were distinguished by (1) lower breath rates, (2) lower skin conductance levels, (3) higher respiratory sinus arrhythmia levels, and (4) higher alpha anterior-posterior and frontal EEG coherence. Alpha power was not significantly different between conditions. These results were seen in the first minute and were maintained throughout the 10-min sessions. TM practice appears to (1) lead to a (...)
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  • Frontal Brain Asymmetry and Depression: A Self-regulatory Perspective.Andrew J. Tomarkenand & Anita D. Keener - 1998 - Cognition and Emotion 12 (3):387-420.
    Recent findings indicate that frontal brain asymmetry may be a marker of for depression. However, the psychological predispositions that account linkage between frontal brain asymmetry and depression are unclear. approach-withdrawal hypothesis is the primary framework that has been to account for the linkages between frontal brain asymmetry and or emotional disorders. We review evidence consistent with this and suggest several directions for its extension. One such direction is to constrain the approach-withdrawal hypothesis by linking frontal asymmetry to the known functions (...)
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  • The real functional architecture is gray, wet and slippery.Steven L. Small - 1994 - Behavioral and Brain Sciences 17 (1):81-82.
  • Symbolic/Subsymbolic Interface Protocol for Cognitive Modeling.Patrick Simen & Thad Polk - 2010 - Logic Journal of the IGPL 18 (5):705-761.
    Researchers studying complex cognition have grown increasingly interested in mapping symbolic cognitive architectures onto subsymbolic brain models. Such a mapping seems essential for understanding cognition under all but the most extreme viewpoints (namely, that cognition consists exclusively of digitally implemented rules; or instead, involves no rules whatsoever). Making this mapping reduces to specifying an interface between symbolic and subsymbolic descriptions of brain activity. To that end, we propose parameterization techniques for building cognitive models as programmable, structured, recurrent neural networks. Feedback (...)
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  • Toward a cognitive neuroscience of metacognition.Arthur P. Shimamura - 2000 - Consciousness and Cognition 9 (2):313-323.
    The relationship between metacognition and executive control is explored. According to an analysis by Fernandez-Duque, Baird, and Posner (this issue), metacognitive regulation involves attention, conflict resolution, error correction, inhibitory control, and emotional regulation. These aspects of metacognition are presumed to be mediated by a neural circuit involving midfrontal brain regions. An evaluation of the proposal by Fernandez-Duque et al. is made, and it is suggested that there is considerable convergence of issues associated with metacognition, executive control, working memory, and frontal (...)
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  • Throwing out the neuropsychological data with the locality bathwater?Philip Servos & Elizabeth M. Olds - 1994 - Behavioral and Brain Sciences 17 (1):80-81.
  • Locus-pocus.Carlo Semenza - 1994 - Behavioral and Brain Sciences 17 (1):80-80.
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  • Perception and its interactive substrate: Psychophysical linking hypotheses and psychophysical methods.Robert Sekuler - 1994 - Behavioral and Brain Sciences 17 (1):79-79.
  • Local and distributed processes in attentional orienting.Michael I. Posner - 1994 - Behavioral and Brain Sciences 17 (1):78-79.
  • Parallel distributed processing challenges the strong modularity hypothesis, not the locality assumption.David C. Plaut - 1994 - Behavioral and Brain Sciences 17 (1):77-78.
  • The relative contributions of frontal and parietal cortex for generalized quantifier comprehension.Christopher A. Olm, Corey T. McMillan, Nicola Spotorno, Robin Clark & Murray Grossman - 2014 - Frontiers in Human Neuroscience 8.
  • Computational levels again.Mike Oaksford - 1994 - Behavioral and Brain Sciences 17 (1):76-77.
  • Distributed locality and large-scale neurocognitive networks.M. Marsel Mesulam - 1994 - Behavioral and Brain Sciences 17 (1):74-76.
  • Neuropsychology: Going loco?Rosaleen A. McCarthy - 1994 - Behavioral and Brain Sciences 17 (1):73-74.
  • Do neuropsychologists think in terms of interactive models?Marcel Kinsbourne - 1994 - Behavioral and Brain Sciences 17 (1):72-73.
  • Go with the flow but mind the details.Glyn W. Humphreys & M. Jane Riddoch - 1994 - Behavioral and Brain Sciences 17 (1):71-72.
  • No threat to modularity.Yosef Grodzinsky & Uri Hadar - 1994 - Behavioral and Brain Sciences 17 (1):70-71.
  • A computational model of frontal lobe dysfunction: working memory and the Tower of Hanoi task.Vinod Goela, David Pullara & Jordan Grafman - 2001 - Cognitive Science 25 (2):287-313.
    A symbolic computer model, employing the perceptual strategy, is presented for solving Tower of Hanoi problems. The model is calibrated—in terms of the number of problems solved, time taken, and number of moves made—to the performance of 20 normal subjects. It is then “lesioned” by increasing the decay rate of elements in working memory to model the performance of 20 patients with lesions to the prefrontal cortex. The model captures both the main effects of subject groups (patients and normal controls) (...)
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  • Clarifying the locality assumption.Clark Glymour - 1994 - Behavioral and Brain Sciences 17 (1):69-70.
  • Neuropsychological inference with an interactive brain: A critique of the “locality” assumption.Martha J. Farah - 1994 - Behavioral and Brain Sciences 17 (1):43-61.
    When cognitive neuropsychologists make inferences about the functional architecture of the normal mind from selective cognitive impairments they generally assume that the effects of brain damage are local, that is, that the nondamaged components of the architecture continue to function as they did before the damage. This assumption follows from the view that the components of the functional architecture are modular, in the sense of being informationally encapsulated. In this target article it is argued that this “locality” assumption is probably (...)
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  • Interactions on the interactive brain.Martha J. Farah - 1994 - Behavioral and Brain Sciences 17 (1):90-104.
    When cognitive neuropsychologists make inferences about the functional architecture of the normal mind from selective cognitive impairments they generally assume that the effects of brain damage are local, that is, that the nondamaged components of the architecture continue to function as they did before the damage. This assumption follows from the view that the components of the functional architecture are modular, in the sense of being informationally encapsulated. In this target article it is argued that this “locality” assumption is probably (...)
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  • Neurocomputing and modularity.Joachim Diederich - 1994 - Behavioral and Brain Sciences 17 (1):68-69.
  • Further advantages of abandoning the locality assumption in face recognition.Jules Davidoff & Bernard Renault - 1994 - Behavioral and Brain Sciences 17 (1):68-68.
  • The Role of Falsification in the Development of Cognitive Architectures: Insights from a Lakatosian Analysis.Richard P. Cooper - 2007 - Cognitive Science 31 (3):509-533.
    It has been suggested that the enterprise of developing mechanistic theories of the human cognitive architecture is flawed because the theories produced are not directly falsifiable. Newell attempted to sidestep this criticism by arguing for a Lakatosian model of scientific progress in which cognitive architectures should be understood as theories that develop over time. However, Newell's own candidate cognitive architecture adhered only loosely to Lakatosian principles. This paper reconsiders the role of falsification and the potential utility of Lakatosian principles in (...)
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  • Mechanisms for the generation and regulation of sequential behaviour.Richard P. Cooper - 2003 - Philosophical Psychology 16 (3):389 – 416.
    A critical aspect of much human behaviour is the generation and regulation of sequential activities. Such behaviour is seen in both naturalistic settings such as routine action and language production and laboratory tasks such as serial recall and many reaction time experiments. There are a variety of computational mechanisms that may support the generation and regulation of sequential behaviours, ranging from those underlying Turing machines to those employed by recurrent connectionist networks. This paper surveys a range of such mechanisms, together (...)
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  • Modularity, abstractness and the interactive brain.James M. Clark - 1994 - Behavioral and Brain Sciences 17 (1):67-68.
  • Modularity, interaction and connectionist neuropsychology.Nick Chater - 1994 - Behavioral and Brain Sciences 17 (1):66-67.
  • Casting one's net too widely?D. P. Carey & A. D. Milner - 1994 - Behavioral and Brain Sciences 17 (1):65-66.
  • Locality, modularity and numerical cognition.Jamie I. D. Campbell - 1994 - Behavioral and Brain Sciences 17 (1):63-64.
  • Discarding locality assumptions: Problems and prospects.Ruth Campbell - 1994 - Behavioral and Brain Sciences 17 (1):64-65.
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  • Regional specialities.Brian Butterworth - 1994 - Behavioral and Brain Sciences 17 (1):63-63.
  • Local representations without the locality assumption.A. Mike Burton & Vicki Bruce - 1994 - Behavioral and Brain Sciences 17 (1):62-63.
  • Simulating nonlocal systems: Rules of the game.John A. Bullinaria - 1994 - Behavioral and Brain Sciences 17 (1):61-62.
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  • Memory for goals: an activation‐based model.Erik M. Altmann & J. Gregory Trafton - 2002 - Cognitive Science 26 (1):39-83.
    Goal‐directed cognition is often discussed in terms of specialized memory structures like the “goal stack.” The goal‐activation model presented here analyzes goal‐directed cognition in terms of the general memory constructs of activation and associative priming. The model embodies three predictive constraints: (1) the interference level, which arises from residual memory for old goals; (1) the strengthening constraint, which makes predictions about time to encode a new goal; and (3) the priming constraint, which makes predictions about the role of cues in (...)
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  • Neural correlates of “hot” and “cold” emotional processing: a multilevel approach to the functional anatomy of emotion.Alexandre Schaefer - unknown
    The neural correlates of two hypothesized emotional processing modes, i.e., schematic and propositional modes, were investigated with positron emission tomography. Nineteen subjects performed an emotional mental imagery task while mentally repeating sentences linked to the meaning of the imagery script. In the schematic conditions, participants repeated metaphoric sentences, whereas in the propositional conditions, the sentences were explicit questions about specific emotional appraisals of the imagery scenario. Five types of emotional scripts were proposed to the subjects (happiness, anger, affection, sadness, and (...)
     
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  • Can there be a cognitive neuroscience of central cognitive systems?Vinod Goel - 2004 - In Christina E. Erneling & David Martel Johnson (eds.), Mind As a Scientific Object. Oxford University Press. pp. 265.