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  1. 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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  • Non-Abstract Numerical Representations in the IPS: Further Support, Challenges, and Clarifications.Roi Cohen Kadosh & Vincent Walsh - 2009 - Behavioral and Brain Sciences 32 (3-4):356-373.
    The commentators have raised many pertinent points that allow us to refine and clarify our view. We classify our response comments into seven sections: automaticity; developmental and educational questions; priming; multiple representations or multiple access(?); terminology; methodological advances; and simulated cognition and numerical cognition. We conclude that the default numerical representations are not abstract.
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  • Numerical Representation in the Parietal Lobes: Abstract or Not Abstract?Roi Cohen Kadosh & Vincent Walsh - 2009 - Behavioral and Brain Sciences 32 (3-4):313-328.
    The study of neuronal specialisation in different cognitive and perceptual domains is important for our understanding of the human brain, its typical and atypical development, and the evolutionary precursors of cognition. Central to this understanding is the issue of numerical representation, and the question of whether numbers are represented in an abstract fashion. Here we discuss and challenge the claim that numerical representation is abstract. We discuss the principles of cortical organisation with special reference to number and also discuss methodological (...)
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  • The Case for a Notation-Independent Representation of Number.Stanislas Dehaene, Roi Cohen Kadosh & Vincent Walsh - 2009 - Behavioral and Brain Sciences 32 (3-4):333.
    Cohen Kadosh & Walsh (CK&W) neglect the solid empirical evidence for a convergence of notation-specific representations onto a shared representation of numerical magnitude. Subliminal priming reveals cross-notation and cross-modality effects, contrary to CK&W's prediction that automatic activation is modality and notation-specific. Notation effects may, however, emerge in the precision, speed, automaticity, and means by which the central magnitude representation is accessed.
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  • A Single-Boundary Accumulator Model of Response Times in an Addition Verification Task.Thomas J. Faulkenberry - 2017 - Frontiers in Psychology 8.
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  • Categories of Large Numbers in Line Estimation.David Landy, Arthur Charlesworth & Erin Ottmar - 2017 - Cognitive Science 41 (2):326-353.
    How do people stretch their understanding of magnitude from the experiential range to the very large quantities and ranges important in science, geopolitics, and mathematics? This paper empirically evaluates how and whether people make use of numerical categories when estimating relative magnitudes of numbers across many orders of magnitude. We hypothesize that people use scale words—thousand, million, billion—to carve the large number line into categories, stretching linear responses across items within each category. If so, discontinuities in position and response time (...)
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  • Linkages Between Number Concepts, Spatial Thinking, and Directionality of Writing: The Snarc Effect and the Reverse Snarc Effect in English and Arabic Monoliterates, Biliterates, and Illiterate Arabic Speakers.Samar Zebian - 2005 - Journal of Cognition and Culture 5 (1-2):165-190.
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  • The Whorfian Hypothesis and Numerical Cognition: Is `Twenty-Four' Processed in the Same Way as `Four-and-Twenty'?Marc Brysbaert, Wim Fias & Marie-Pascale Noël - 1998 - Cognition 66 (1):51-77.
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  • Parallel Distributed Processing Challenges the Strong Modularity Hypothesis, Not the Locality Assumption.David C. Plaut - 1994 - Behavioral and Brain Sciences 17 (1):77-78.
  • Innate or Acquired? – Disentangling Number Sense and Early Number Competencies.Julia Siemann & Franz Petermann - 2018 - Frontiers in Psychology 9.
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  • To See or Not to See: The Visual Component of Complex Mental Arithmetic.Wendy Ann Deslauriers, Gene P. Ouellette, Martin Barnes & Jo-Anne LeFevre - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
  • Images of Numbers, or “When 98 is Upper Left and 6 Sky Blue”.Xavier Seron, Mauro Pesenti, Marie-Pascale Noël, Gérard Deloche & Jacques-André Cornet - 1992 - Cognition 44 (1-2):159-196.
  • 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.
  • The Symbolic Brain or the Invisible Hand?René van Hezewijk & Edward H. F. de Haan - 1994 - Behavioral and Brain Sciences 17 (1):85-86.
  • Prosopagnosia, Conscious Awareness and the Interactive Brain.Robert Van Gulick - 1994 - Behavioral and Brain Sciences 17 (1):84-85.
  • Playing Flourens to Fodor's Gall.Tim van Gelder - 1994 - Behavioral and Brain Sciences 17 (1):84-84.
  • The Functional Architecture of Visual Attention May Still Be Modular.Carlo Umiltà - 1994 - Behavioral and Brain Sciences 17 (1):82-83.
  • The Real Functional Architecture is Gray, Wet and Slippery.Steven L. Small - 1994 - Behavioral and Brain Sciences 17 (1):81-82.
  • Locus-pocus.Carlo Semenza - 1994 - Behavioral and Brain Sciences 17 (1):80-80.
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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.
  • 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.
  • 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.
  • Go with the Flow but Mind the Details.Glyn W. Humphreys & M. Jane Riddoch - 1994 - Behavioral and Brain Sciences 17 (1):71-72.
  • Do Neuropsychologists Think in Terms of Interactive Models?Marcel Kinsbourne - 1994 - Behavioral and Brain Sciences 17 (1):72-73.
  • No Threat to Modularity.Yosef Grodzinsky & Uri Hadar - 1994 - Behavioral and Brain Sciences 17 (1):70-71.
  • Clarifying the Locality Assumption.Clark Glymour - 1994 - Behavioral and Brain Sciences 17 (1):69-70.
  • Neurocomputing and Modularity.Joachim Diederich - 1994 - Behavioral and Brain Sciences 17 (1):68-69.
  • Modularity, Abstractness and the Interactive Brain.James M. Clark - 1994 - Behavioral and Brain Sciences 17 (1):67-68.
  • Further Advantages of Abandoning the Locality Assumption in Face Recognition.Jules Davidoff & Bernard Renault - 1994 - Behavioral and Brain Sciences 17 (1):68-68.
  • 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.
  • Discarding Locality Assumptions: Problems and Prospects.Ruth Campbell - 1994 - Behavioral and Brain Sciences 17 (1):64-65.
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  • Locality, Modularity and Numerical Cognition.Jamie I. D. Campbell - 1994 - Behavioral and Brain Sciences 17 (1):63-64.
  • 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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  • About the Influence of the Presentation Format on Arithmetical-Fact Retrieval Processes.Marie-Pascale Noël, Wim Fias & Marc Brysbaert - 1997 - Cognition 63 (3):335-374.
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  • Cognitive Arithmetic: A Review of Data and Theory. [REVIEW]Mark H. Ashcraft - 1992 - Cognition 44 (1-2):75-106.
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  • Cognitive Mechanisms in Numerical Processing: Evidence From Acquired Dyscalculia.Michael McCloskey - 1992 - Cognition 44 (1-2):107-157.
  • Varieties of Numerical Abilities.Stanislas Dehaene - 1992 - Cognition 44 (1-2):1-42.
  • Architectures for Numerical Cognition.Jamie I. D. Campbell - 1994 - Cognition 53 (1):1-44.
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