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Psychology

D-Index
62
Citations
18519
World Ranking
3196
National Ranking
1816

Research.com Recognitions

  • 2003 - Troland Research Awards, United States National Academy of Sciences For his penetrating computational analyses of reading, language, and other aspects of cognition, which elucidate normal function and the consequences of brain injury.

Overview

David C. Plaut is affiliated with Carnegie Mellon University in the United States, where their research primarily focuses on neuroscience with a significant emphasis on cognitive neuroscience. Their scholarly contributions involve studies in experimental and cognitive psychology, computer vision and pattern recognition, developmental and educational psychology, as well as statistics and probability.

Their research topics cover a range of subjects related to brain function and perception. Key themes include face recognition and perception, neural dynamics and brain function, visual perception and processing mechanisms, functional brain connectivity studies, hemispheric asymmetry in neuroscience, face recognition and analysis, and evolutionary psychology and human behavior.

David C. Plaut has published influential papers spanning several years, including:

  • Hemispheric Organization for Visual Object Recognition: A Theoretical Account and Empirical Evidence, 2020, Perception
  • Computational insights into human perceptual expertise for familiar and unfamiliar face recognition, 2020, Cognition
  • A connectivity-constrained computational account of topographic organization in primate high-level visual cortex, 2022, Proceedings of the National Academy of Sciences
  • From decomposition to distributed theories of morphological processing in reading, 2022, Psychonomic Bulletin & Review
  • The Face of Image Reconstruction: Progress, Pitfalls, Prospects, 2020, Trends in Cognitive Sciences

Their collaborative work includes frequent co-authorship with researchers such as Marlene Behrmann, Nicholas M. Blauch, Raina Vin, Tina T. Liu, and Michael C. Granovetter.

Key venues where David C. Plaut has published multiple articles include bioRxiv (Cold Spring Harbor Laboratory), Cognition, Journal of Vision, Perception, and Proceedings of the National Academy of Sciences.

In 2003, the scientist was awarded the Troland Research Award by the United States National Academy of Sciences for computational analyses related to reading, language, and aspects of cognition, addressing both normal function and effects of brain injury.

Best Publications

  • Understanding normal and impaired word reading: computational principles in quasi-regular domains.

    David C. Plaut;James L. McClelland;Mark S. Seidenberg;Karalyn Patterson

  • Deep dyslexia: A case study of connectionist neuropsychology

    David C. Plaut;Tim Shallice

  • Letting structure emerge: connectionist and dynamical systems approaches to cognition

    James L. McClelland;Matthew M. Botvinick;David C. Noelle;David C. Plaut

  • Experiments on Learning by Back Propagation.

    David C Plaut;Steven J Nowlan;Geoffrey E Hinton

  • Doing without schema hierarchies: a recurrent connectionist approach to normal and impaired routine sequential action

    Matthew M. Botvinick;David C. Plaut

  • Individual and developmental differences in semantic priming : Empirical and computational support for a single-mechanism account of lexical processing

    David C. Plaut;James R. Booth

  • Are non-semantic morphological effects incompatible with a distributed connectionist approach to lexical processing?

    David C. Plaut;Laura M. Gonnerman

  • SD-squared: On the association between semantic dementia and surface dyslexia

    Anna M. Woollams;Matthew A. Lambon Ralph;David C. Plaut;Karalyn Patterson

  • Short-term memory for serial order: a recurrent neural network model.

    Matthew M. Botvinick;David C. Plaut

  • Double dissociation without modularity: Evidence from connectionist neuropsychology

    David C. Plaut

  • Structure and Function in the Lexical System: Insights from Distributed Models of Word Reading and Lexical Decision

    David C. Plaut

  • Language acquisition in the absence of explicit negative evidence: how important is starting small?

    Douglas L.T Rohde;David C Plaut

  • Distributed circuits, not circumscribed centers, mediate visual recognition

    Marlene Behrmann;David C. Plaut

  • Unraveling the distributed neural code of facial identity through spatiotemporal pattern analysis

    Adrian Nestor;David C. Plaut;Marlene Behrmann

  • Semantic and Associative Priming in a Distributed Attractor Network

    David C. Plaut

  • Relearning after Damage in Connectionist Networks: Toward a Theory of Rehabilitation

    David C. Plaut

  • Graded modality-specific specialisation in semantics: A computational account of optic aphasia.

    David C. Plaut

  • ‘What’ Is Happening in the Dorsal Visual Pathway

    Erez Freud;Erez Freud;David C. Plaut;David C. Plaut;Marlene Behrmann;Marlene Behrmann

  • The joint development of hemispheric lateralization for words and faces

    Eva M. Dundas;David C. Plaut;Marlene Behrmann

  • A LITERATURE REVIEW AND NEW DATA SUPPORTING AN INTERACTIVE ACCOUNT OF LETTER-BY-LETTER READING.

    Marlene Behrmann;David C. Plaut;James Nelson

  • Deep Dyslexia: A Case Study of

    David C. Plaut;Tim Shallice

Frequent Co-Authors

Marlene Behrmann
Marlene Behrmann Carnegie Mellon University
James L. McClelland
James L. McClelland Stanford University
Tim Shallice
Tim Shallice University College London
Karalyn Patterson
Karalyn Patterson MRC Cognition and Brain Sciences Unit
Mark S. Seidenberg
Mark S. Seidenberg University of Wisconsin–Madison
Matthew A. Lambon Ralph
Matthew A. Lambon Ralph University of Cambridge
Jody C. Culham
Jody C. Culham University of Western Ontario
Anna M. Woollams
Anna M. Woollams University of Manchester
Jeffrey L. Elman
Jeffrey L. Elman University of California, San Diego
James R. Booth
James R. Booth Vanderbilt University

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