Literature DB >> 25164799

"Shallow draughts intoxicate the brain": lessons from cognitive science for cognitive neuropsychology.

Karalyn Patterson1, David C Plaut.   

Abstract

This article presents a sobering view of the discipline of cognitive neuropsychology as practiced over the last three or four decades. Our judgment is that, although the study of abnormal cognition resulting from brain injury or disease in previously normal adults has produced a catalogue of fascinating and highly selective deficits, it has yielded relatively little advance in understanding how the brain accomplishes its cognitive business. We question the wisdom of the following three "choices" in mainstream cognitive neuropsychology: (a) single-case methodology, (b) dissociation between functions as the most important source of evidence, and (c) a central goal of diagramming the functional architecture of cognition rather than specifying how its components work. These choices may all stem from an excessive commitment to strict and fine-grained modularity. Although different brain regions are undoubtedly specialized for different functions, we argue that parallel and interactive processing is a better assumption about cognitive processing. The essential goal of specifying representations and processes can, we claim, be significantly assisted by computational modeling which, by its very nature, requires such specification.
Copyright © 2009 Cognitive Science Society, Inc.

Entities:  

Keywords:  Cognitive neuropsychology; Connectionist modeling; Dissociations; Interactivity; Learning; Modularity; Single-case methodology

Mesh:

Year:  2009        PMID: 25164799     DOI: 10.1111/j.1756-8765.2008.01012.x

Source DB:  PubMed          Journal:  Top Cogn Sci        ISSN: 1756-8757


  15 in total

1.  Theories of spoken word recognition deficits in aphasia: evidence from eye-tracking and computational modeling.

Authors:  Daniel Mirman; Eiling Yee; Sheila E Blumstein; James S Magnuson
Journal:  Brain Lang       Date:  2011-03-02       Impact factor: 2.381

2.  A large, searchable, web-based database of aphasic performance on picture naming and other tests of cognitive function.

Authors:  Daniel Mirman; Ted J Strauss; Adelyn Brecher; Grant M Walker; Paula Sobel; Gary S Dell; Myrna F Schwartz
Journal:  Cogn Neuropsychol       Date:  2011-06-30       Impact factor: 2.468

3.  The ins and outs of meaning: Behavioral and neuroanatomical dissociation of semantically-driven word retrieval and multimodal semantic recognition in aphasia.

Authors:  Daniel Mirman; Yongsheng Zhang; Ze Wang; H Branch Coslett; Myrna F Schwartz
Journal:  Neuropsychologia       Date:  2015-02-12       Impact factor: 3.139

Review 4.  Case series investigations in cognitive neuropsychology.

Authors:  Myrna F Schwartz; Gary S Dell
Journal:  Cogn Neuropsychol       Date:  2011-06-30       Impact factor: 2.468

5.  Single-case cognitive neuropsychology in the age of big data.

Authors:  Jared Medina; Simon Fischer-Baum
Journal:  Cogn Neuropsychol       Date:  2017-05-17       Impact factor: 2.468

Review 6.  Developmental disorders: what can be learned from cognitive neuropsychology?

Authors:  Anne Castles; Saskia Kohnen; Lyndsey Nickels; Jon Brock
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-09       Impact factor: 6.237

Review 7.  Connectionist neuropsychology: uncovering ultimate causes of acquired dyslexia.

Authors:  Anna M Woollams
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-09       Impact factor: 6.237

8.  Cognitive Neuropsychology Has Been, Is, And Will Be Significant To Aphasiology.

Authors:  Matti Laine; Nadine Martin
Journal:  Aphasiology       Date:  2012-10-25       Impact factor: 2.773

9.  The Marin Lab at the Dawn of Cognitive Neuropsychology.

Authors:  Myrna F Schwartz
Journal:  Cogn Behav Neurol       Date:  2015-09       Impact factor: 1.600

10.  Neuroplasticity and the logic of cognitive neuropsychology.

Authors:  Simon Fischer-Baum; Giulia Campana
Journal:  Cogn Neuropsychol       Date:  2017-10-27       Impact factor: 2.468

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