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David M. Kaplan [32]David Michael Kaplan [8]
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David M. Kaplan
University of North Texas
David Michael Kaplan
Washington University in St. Louis
  1. The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective.David Michael Kaplan & Carl F. Craver - 2011 - Philosophy of Science 78 (4):601-627.
    We argue that dynamical and mathematical models in systems and cognitive neuro- science explain (rather than redescribe) a phenomenon only if there is a plausible mapping between elements in the model and elements in the mechanism for the phe- nomenon. We demonstrate how this model-to-mechanism-mapping constraint, when satisfied, endows a model with explanatory force with respect to the phenomenon to be explained. Several paradigmatic models including the Haken-Kelso-Bunz model of bimanual coordination and the difference-of-Gaussians model of visual receptive fields are (...)
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  2. Explanation and Description in Computational Neuroscience.David Michael Kaplan - 2011 - Synthese 183 (3):339-373.
    The central aim of this paper is to shed light on the nature of explanation in computational neuroscience. I argue that computational models in this domain possess explanatory force to the extent that they describe the mechanisms responsible for producing a given phenomenon—paralleling how other mechanistic models explain. Conceiving computational explanation as a species of mechanistic explanation affords an important distinction between computational models that play genuine explanatory roles and those that merely provide accurate descriptions or predictions of phenomena. It (...)
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  3. Are More Details Better? On the Norms of Completeness for Mechanistic Explanations.Carl F. Craver & David M. Kaplan - forthcoming - British Journal for the Philosophy of Science:axy015.
    Completeness is an important but misunderstood norm of explanation. It has recently been argued that mechanistic accounts of scientific explanation are committed to the thesis that models are complete only if they describe everything about a mechanism and, as a corollary, that incomplete models are always improved by adding more details. If so, mechanistic accounts are at odds with the obvious and important role of abstraction in scientific modelling. We respond to this characterization of the mechanist’s views about abstraction and (...)
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  4. Dynamical Models: An Alternative or Complement to Mechanistic Explanations?David M. Kaplan & William Bechtel - 2011 - Topics in Cognitive Science 3 (2):438-444.
    Abstract While agreeing that dynamical models play a major role in cognitive science, we reject Stepp, Chemero, and Turvey's contention that they constitute an alternative to mechanistic explanations. We review several problems dynamical models face as putative explanations when they are not grounded in mechanisms. Further, we argue that the opposition of dynamical models and mechanisms is a false one and that those dynamical models that characterize the operations of mechanisms overcome these problems. By briefly considering examples involving the generation (...)
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  5. How to Demarcate the Boundaries of Cognition.David Michael Kaplan - 2012 - Biology and Philosophy 27 (4):545-570.
    Advocates of extended cognition argue that the boundaries of cognition span brain, body, and environment. Critics maintain that cognitive processes are confined to a boundary centered on the individual. All participants to this debate require a criterion for distinguishing what is internal to cognition from what is external. Yet none of the available proposals are completely successful. I offer a new account, the mutual manipulability account, according to which cognitive boundaries are determined by relationships of mutual manipulability between the properties (...)
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  6.  14
    Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience.J. Brendan Ritchie, David Michael Kaplan & Colin Klein - 2019 - British Journal for the Philosophy of Science 70 (2):581-607.
    Since its introduction, multivariate pattern analysis, or ‘neural decoding’, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder’s dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical attention. We critically evaluate the dictum, arguing that it is false: decodability is (...)
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  7.  44
    Moving Parts: The Natural Alliance Between Dynamical and Mechanistic Modeling Approaches.David Michael Kaplan - 2015 - Biology and Philosophy 30 (6):757-786.
    Recently, it has been provocatively claimed that dynamical modeling approaches signal the emergence of a new explanatory framework distinct from that of mechanistic explanation. This paper rejects this proposal and argues that dynamical explanations are fully compatible with, even naturally construed as, instances of mechanistic explanations. Specifically, it is argued that the mathematical framework of dynamics provides a powerful descriptive scheme for revealing temporal features of activities in mechanisms and plays an explanatory role to the extent it is deployed for (...)
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  8.  45
    Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience.J. Brendan Ritchie, David Michael Kaplan & Colin Klein - 2016 - British Journal for the Philosophy of Science:axx023.
    Since its introduction, multivariate pattern analysis, or ‘neural decoding’, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder’s dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical attention. We critically evaluate the dictum, arguing that it is false: decodability is (...)
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  9. How to Reconcile Physicalism and Antireductionism About Biology.Alex Rosenberg & David Michael Kaplan - 2005 - Philosophy of Science 72 (1):43-68.
    Physicalism and antireductionism are the ruling orthodoxy in the philosophy of biology. But these two theses are difficult to reconcile. Merely embracing an epistemic antireductionism will not suffice, as both reductionists and antireductionists accept that given our cognitive interests and limitations, non-molecular explanations may not be improved, corrected or grounded in molecular ones. Moreover, antireductionists themselves view their claim as a metaphysical or ontological one about the existence of facts molecular biology cannot identify, express, or explain. However, this is tantamount (...)
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  10.  39
    Towards a Mechanistic Philosophy of Neuroscience.Carl F. Craver & David M. Kaplan - 2011 - In Steven French & Juha Saatsi (eds.), Continuum Companion to the Philosophy of Science. London: Continuum. pp. 268.
  11.  85
    What Things Still Don’T Do.David M. Kaplan - 2009 - Human Studies 32 (2):229-240.
    This paper praises and criticizes Peter-Paul Verbeek’s What Things Do ( 2006 ). The four things that Verbeek does well are: (1) remind us of the importance of technological things; (2) bring Karl Jaspers into the conversation on technology; (3) explain how technology “co-shapes” experience by reading Bruno Latour’s actor-network theory in light of Don Ihde’s post-phenomenology; (4) develop a material aesthetics of design. The three things that Verbeek does not do well are: (1) analyze the material conditions in which (...)
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  12. A Structural Model of Parent and Teacher Influences on Science Attitudes of Eighth Graders: Evidence From NELS: 88.Rani George & David M. Kaplan - 1998 - Science Education 82 (1):93-109.
  13.  11
    Ricoeur's Critical Theory.David M. Kaplan - 2003 - State University of New York Press.
    The first book-length treatment of Paul Ricoeur's conception of philosophy as critical theory.
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  14.  6
    Paul Ricoeur and the Philosophy of Technology.David M. Kaplan - 2006 - Journal of French and Francophone Philosophy 16 (1-2):42-56.
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  15. The Philosophy of Food.David M. Kaplan (ed.) - 2012 - University of California Press.
    This book explores food from a philosophical perspective, bringing together sixteen leading philosophers to consider the most basic questions about food: What is it exactly? What should we eat? How do we know it is safe? How should food be distributed? What is good food? David M. Kaplan’s erudite and informative introduction grounds the discussion, showing how philosophers since Plato have taken up questions about food, diet, agriculture, and animals. However, until recently, few have considered food a standard subject for (...)
     
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  16.  79
    Readings in the Philosophy of Technology.David M. Kaplan (ed.) - 2003 - Rowman & Littlefield Publishers.
    Readings in the Philosophy of Technology is a collection of the important works of both the forerunners of philosophy of technology and contemporary theorists, addressing a full range of topics on technology as it relates to ethics, politics, human nautre, computers, science, and the environment.
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  17. How to Read Technology Critically.David M. Kaplan - 2009 - In Jan Kyrre Berg Olsen Friis, Evan Selinger & Søren Riis (eds.), New Waves in Philosophy of Technology. Palgrave-Macmillan.
  18. Encyclopedia of Food and Agricultural Ethics.Paul B. Thompson & David M. Kaplan (eds.) - 2012
     
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  19.  66
    Symposium on W. Wu, "Against Division".Wayne Wu, David M. Kaplan, Pete Mandik & Thomas Schenk - 2014 - Mind and Language Symposia at the Brains Blog.
  20.  4
    Brill Online Books and Journals.Richard Kearney, László Tengelyi, Patrick L. Bourgeois, David M. Rasmussen, Bernard P. Dauenhauer, David M. Kaplan, Charles E. Scott, Bernard Freydberg, Jamey Findling & Eric C. Sanday - 2007 - Research in Phenomenology 37 (2):271-278.
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  21.  3
    Memorial for Paul Ricoeur.Richard Kearney, Laszlo Tengelyi, Patrick L. Bourgeois, David M. Rasmussen, Bernard P. Dauenhauer & David M. Kaplan - 2007 - Research in Phenomenology 37 (2):147-236.
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  22.  41
    Topographic Organization in the Brain: Searching for General Principles.Gaurav H. Patel, David M. Kaplan & Lawrence H. Snyder - 2014 - Trends in Cognitive Sciences 18 (7):351-363.
  23.  51
    Perception and Cognition: Essays in the Philosophy of Psychology.David Michael Kaplan - 2012 - Philosophical Psychology 25 (3):463-468.
    Philosophical Psychology, Volume 0, Issue 0, Page 1-6, Ahead of Print.
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  24.  39
    What’s Wrong with Artificial Additives?David M. Kaplan - 2013 - The Philosophers' Magazine 61 (61):87-93.
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  25.  47
    What's Wrong With Genetically Modified Food?David M. Kaplan - 2005 - Journal of Philosophical Research 30 (Supplement):69-80.
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  26.  34
    The Complex Interplay Between Three-Dimensional Egocentric and Allocentric Spatial Representation.David M. Kaplan - 2013 - Behavioral and Brain Sciences 36 (5):553-554.
    Jeffery et al. characterize the egocentric/allocentric distinction as discrete. But paradoxically, much of the neural and behavioral evidence they adduce undermines a discrete distinction. More strikingly, their positive proposal reflects a more complex interplay between egocentric and allocentric coding than they acknowledge. Properly interpreted, their proposal about three-dimensional spatial representation contributes to recent work on embodied cognition.
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  27.  56
    Paul Ricoeur and the Nazis.David M. Kaplan - 2007 - Research in Phenomenology 37 (2):219-236.
    Richard Wolin questions the connection between the philosophy and politics of Paul Ricoeur to make three charges: 1) Ricoeur's version of hermeneutics slides into a relativism of incommensurable perspectives; 2) Ricoeur's "covert agenda" in his recent work, Memory, History, Forgetting is to come to terms with the regrettable choices he made in his youth; 3) Ricoeur left us a written record of his pro-Vichy sympathies that raise questions about the political implications of hermeneutics. Each claim is, however, far from true. (...)
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  28.  13
    A Registration Problem for Functional Fingerprinting.David M. Kaplan & Carl F. Craver - 2016 - Behavioral and Brain Sciences 39.
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  29.  26
    Review: What Things Still Don't Do. [REVIEW]David M. Kaplan - 2009 - Human Studies 32 (2):229 - 240.
    This paper praises and criticizes Peter-Paul Verbeek's What Things Do (2006). The four things that Verbeek does well are: (1) remind us of the importance of technological things; (2) bring Karl Jaspers into the conversation on technology; (3) explain how technology "co-shapes" experience by reading Bruno Latour's actor-network theory in light of Don Ihde's post-phenomenology; (4) develop a material aesthetics of design. The three things that Verbeek does not do well are: (1) analyze the material conditions in which things are (...)
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  30.  1
    What’s Wrong with Artificial Additives?David M. Kaplan - 2013 - The Philosophers' Magazine 61:87-93.
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  31. Paul Ricoeur: Honoring and Continuing the Work.Lorenzo Altieri, Pamela Anderson, Patrick Bourgeois, Fred Dallmayr, Gregory Hoskins, Domenico Jervolino, Morny Joy, David M. Kaplan, Richard Kearney, Peter Kemp, Jason Springs, Henry Venema, John Wall & John Whitmire - 2011 - Lexington Books.
    This collection of essays is dedicated to the prolific career of Paul Ricoeur. Honoring his work, this anthology addresses questions and concerns that defined Ricoeur’s.
     
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  32. Agriculture Ethics.David M. Kaplan - 2012 - In Jan Kyrre Berg Olsen Friis, Stig Andur Pedersen & Vincent F. Hendricks (eds.), A Companion to the Philosophy of Technology. Wiley-Blackwell.
     
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  33. Discourse and Critique in the Hermeneutic Phenomenology of Paul Ricoeur.David M. Kaplan - 1998 - Dissertation, Fordham University
    This work traces the development Paul Ricoeur's recent hermeneutic phenomenology since the late 1960's, and develops the critical element within Ricoeur's recent thought by examining his conceptions of ideology and utopia, and the relationship between hermeneutics and critical theory, in order to elaborate a critical and rationally justified interpretation of human action for the social sciences. Particular attention is paid to Ricoeur's works on metaphor, narrative, and ethics in the context of a critical theory of power, ideology and history. Hermeneutics, (...)
     
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  34. Explanation and Integration in Mind and Brain Science.David M. Kaplan (ed.) - 2017 - Oxford University Press.
    Is the relationship between psychology and neuroscience one of autonomy or mutual constraint and integration? This volume includes new papers from leading philosophers seeking to address this issue by deepening our understanding of the similarities and differences between the explanatory patterns employed across these domains.
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  35. Food Ethics.David M. Kaplan - 2012 - In Jan Kyrre Berg Olsen Friis, Stig Andur Pedersen & Vincent F. Hendricks (eds.), A Companion to the Philosophy of Technology. Wiley-Blackwell.
     
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  36. Integrating Mind and Brain Science: Mechanistic Perspectives and Beyond.David M. Kaplan (ed.) - forthcoming - Oxford University Press.
  37. Paul Ricoeur and Development Ethics.David M. Kaplan - 2010 - In Brian Treanor & Henry Isaac Venema (eds.), A Passion for the Possible: Thinking with Paul Ricoeur. Fordham University Press.
     
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  38. Reading Ricoeur.David M. Kaplan (ed.) - 2008 - State University of New York Press.
    Introduces readers to the work of Paul Ricoeur, one of the twentieth century’s leading philosophers.
     
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  39. Technology and Capitalism.David M. Kaplan - 2012 - In Jan Kyrre Berg Olsen Friis, Stig Andur Pedersen & Vincent F. Hendricks (eds.), A Companion to the Philosophy of Technology. Wiley-Blackwell.
  40. Technology and Globalization.David M. Kaplan - 2012 - In Jan Kyrre Berg Olsen Friis, Stig Andur Pedersen & Vincent F. Hendricks (eds.), A Companion to the Philosophy of Technology. Wiley-Blackwell.