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  1. Is the mind really modular?Jesse J. Prinz - 2006 - In Robert J. Stainton (ed.), Contemporary Debates in Cognitive Science. Oxford: Wiley-Blackwell. pp. 22--36.
    When Fodor titled his (1983) book the _Modularity of Mind_, he overstated his position. His actual view is that the mind divides into systems some of which are modular and others of which are not. The book would have been more aptly, if less provocatively, called _The Modularity of Low-Level Peripheral Systems_. High-level perception and cognitive systems are non-modular on Fodor’s theory. In recent years, modularity has found more zealous defenders, who claim that the entire mind divides into highly specialized (...)
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  • Neural constraints on cognitive modularity?Brian J. Scholl - 1997 - Behavioral and Brain Sciences 20 (4):575-576.
    Is innate cognitive modularity consistent with a lack of innate neural modularity? Quartz & Sejnowski's implicit negative answer to his question fuels their antinativist and antimodular cognitive conclusions. I attempt here to suggest a positive answer and to solicit discussion of this crucial issue.
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  • Beyond modularity: Neural evidence for constructivist principles in development.Steven R. Quartz & Terrence J. Sejnowski - 1994 - Behavioral and Brain Sciences 17 (4):725-726.
  • Integrating psychology and neuroscience: functional analyses as mechanism sketches.Gualtiero Piccinini & Carl Craver - 2011 - Synthese 183 (3):283-311.
    We sketch a framework for building a unified science of cognition. This unification is achieved by showing how functional analyses of cognitive capacities can be integrated with the multilevel mechanistic explanations of neural systems. The core idea is that functional analyses are sketches of mechanisms , in which some structural aspects of a mechanistic explanation are omitted. Once the missing aspects are filled in, a functional analysis turns into a full-blown mechanistic explanation. By this process, functional analyses are seamlessly integrated (...)
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  • Beyond disjoint brain networks: Overlapping networks for cognition and emotion.Luiz Pessoa - 2016 - Behavioral and Brain Sciences 39.
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  • Six principles for biologically based computational models of cortical cognition.Randall C. O'Reilly - 1998 - Trends in Cognitive Sciences 2 (11):455-462.
  • Why Neuroscience Matters to Cognitive Neuropsychology.Victoria McGeer - 2007 - Synthese 159 (3):347 - 371.
    The broad issue in this paper is the relationship between cognitive psychology and neuroscience. That issue arises particularly sharply for cognitive neurospsychology, some of whose practitioners claim a methodological autonomy for their discipline. They hold that behavioural data from neuropsychological impairments are sufficient to justify assumptions about the underlying modular structure of human cognitive architecture, as well as to make inferences about its various components. But this claim to methodological autonomy can be challenged on both philosophical and empirical grounds. A (...)
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  • The new nativism: a commentary on Gary Marcus’s The birth of the mind. [REVIEW]Matteo Mameli & David Papineau - 2006 - Biology and Philosophy 21 (4):559-573.
    Gary Marcus has written a very interesting book about mental development from a nativist perspective. For the general readership at which the book is largely aimed, it will be interesting because of its many informative examples of the development of cognitive structures and because of its illuminating explanations of ways in which genes can contribute to these developmental processes. However, the book is also interesting from a theoretical point of view. Marcus tries to make nativism compatible with the central arguments (...)
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  • Innateness and the sciences.Matteo Mameli & Patrick Bateson - 2006 - Biology and Philosophy 21 (2):155-188.
    The concept of innateness is a part of folk wisdom but is also used by biologists and cognitive scientists. This concept has a legitimate role to play in science only if the colloquial usage relates to a coherent body of evidence. We examine many different candidates for the post of scientific successor of the folk concept of innateness. We argue that none of these candidates is entirely satisfactory. Some of the candidates are more interesting and useful than others, but the (...)
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  • Cognitive Ontology and Region- versus Network-Oriented Analyses.Colin Klein - 2012 - Philosophy of Science 79 (5):952-960.
    The interpretation of functional imaging experiments is complicated by the pluripotency of brain regions. As there is a many-to-one mapping between cognitive functions and their neural substrates, region-based analyses of imaging data provide only weak support for cognitive theories. Price and Friston argue that we need a ‘cognitive ontology’ that abstractly categorizes the function of regions. I argue that abstract characterizations are unlikely to be cognitively interesting. I argue instead that we should attribute functions to regions in a context-sensitive manner. (...)
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  • Multi-use and constraints from original use.Justin A. Jungé & Daniel C. Dennett - 2010 - Behavioral and Brain Sciences 33 (4):277-278.
    Anderson's theory is plausible and largely consistent with the data. However, it remains underspecified on several fronts, and we highlight areas for potential improvement. Reuse is described as duplicating a functional component, preserving one function and tinkering to add another function. This is a promising model, but Anderson neglects other reasonable alternatives and we highlight several. Evidence cited in support of reuse fails to uniquely support it among a broader set of multi-use theories. We suggest that a more stringent criterion (...)
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  • The faculty of language: what's special about it?Ray Jackendoff & Steven Pinker - 2005 - Cognition 95 (2):201-236.
    We examine the question of which aspects of language are uniquely human and uniquely linguistic in light of recent suggestions by Hauser, Chomsky, and Fitch that the only such aspect is syntactic recursion, the rest of language being either specific to humans but not to language (e.g. words and concepts) or not specific to humans (e.g. speech perception). We find the hypothesis problematic. It ignores the many aspects of grammar that are not recursive, such as phonology, morphology, case, agreement, and (...)
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  • What is innateness?Paul E. Griffiths - 2001 - The Monist 85 (1):70-85.
    In behavioral ecology some authors regard the innateness concept as irretrievably confused whilst others take it to refer to adaptations. In cognitive psychology, however, whether traits are 'innate' is regarded as a significant question and is often the subject of heated debate. Several philosophers have tried to define innateness with the intention of making sense of its use in cognitive psychology. In contrast, I argue that the concept is irretrievably confused. The vernacular innateness concept represents a key aspect of 'folkbiology', (...)
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  • Innateness, canalization, and 'biologicizing the mind'.Paul E. Griffiths & Edouard Machery - 2008 - Philosophical Psychology 21 (3):397 – 414.
    This article examines and rejects the claim that 'innateness is canalization'. Waddington's concept of canalization is distinguished from the narrower concept of environmental canalization with which it is often confused. Evidence is presented that the concept of environmental canalization is not an accurate analysis of the existing concept of innateness. The strategy of 'biologicizing the mind' by treating psychological or behavioral traits as if they were environmentally canalized physiological traits is criticized using data from developmental psychobiology. It is concluded that (...)
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  • The evolution of the language faculty: Clarifications and implications.W. Tecumseh Fitch, Marc D. Hauser & Noam Chomsky - 2005 - Cognition 97 (2):179-210.
  • The Modularity of Mind.Robert Cummins & Jerry Fodor - 1983 - Philosophical Review 94 (1):101.
  • Nativism: In defense of a biological understanding.John M. Collins - 2005 - Philosophical Psychology 18 (2):157-177.
    In recent years, a number of philosophers have argued against a biological understanding of the innate in favor of a narrowly psychological notion. On the other hand, Ariew ((1996). Innateness and canalization. Philosophy of Science, 63, S19-S27. (1999). Innateness is canalization: in defense of a developmental account of innateness. In V. Hardcastle (Ed.), Where biology meets psychology: Philosophical essays (pp. 117-138). Cambridge, MA: MIT.) has developed a novel substantial account of innateness based on developmental biology: canalization. The governing thought of (...)
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  • Rules and representations.Noam A. Chomsky - 1980 - Behavioral and Brain Sciences 3 (127):1-61.
    The book from which these sections are excerpted is concerned with the prospects for assimilating the study of human intelligence and its products to the natural sciences through the investigation of cognitive structures, understood as systems of rules and representations that can be regarded as These mental structui′es serve as the vehicles for the exercise of various capacities. They develop in the mind on the basis of an innate endowment that permits the growth of rich and highly articulated structures along (...)
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  • Rules and representations.Noam Chomsky - 1980 - Behavioral and Brain Sciences 3 (1):1-15.
    The book from which these sections are excerpted is concerned with the prospects for assimilating the study of human intelligence and its products to the natural sciences through the investigation of cognitive structures, understood as systems of rules and representations that can be regarded as “mental organs.” These mental structui′es serve as the vehicles for the exercise of various capacities. They develop in the mind on the basis of an innate endowment that permits the growth of rich and highly articulated (...)
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  • Précis of the architecture of the mind: Massive modularity and the flexibility of thought.Peter Carruthers - 2008 - Mind and Language 23 (3):257–262.
    This article outlines the main themes and motivations of Carruthers, 2006. Its purpose is to provide some background for the critical commentaries of Cowie, Machery, and Wilson (this volume).
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  • A contextualist approach to functional localization in the brain.Daniel C. Burnston - 2016 - Biology and Philosophy 31 (4):527-550.
    Functional localization has historically been one of the primary goals of neuroscience. There is still debate, however, about whether it is possible, and if so what kind of theories succeed at localization. I argue for a contextualist approach to localization. Most theorists assume that widespread contextual variability in function is fundamentally incompatible with functional decomposition in the brain, because contextualist accounts will fail to be generalizable and projectable. I argue that this assumption is misplaced. A properly articulated contextualism can ground (...)
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  • The cognitive neuroscience revolution.Worth Boone & Gualtiero Piccinini - 2016 - Synthese 193 (5):1509-1534.
    We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels of organization in order to explain (...)
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  • Anatomical and functional modularity in cognitive science: Shifting the focus.Vincent Bergeron - 2007 - Philosophical Psychology 20 (2):175 – 195.
    Much of cognitive science is committed to the modular approach to the study of cognition. The core of this approach consists of a pair of assumptions - the anatomical and the functional modularity assumptions - which motivate two kinds of inference: the anatomical and the functional modularity inferences. The legitimacy of both of these inferences has been strongly challenged, a situation that has had surprisingly little impact on most theorizing in the field. Following the introduction of an important, yet rarely (...)
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  • Multiple Realizability Revisited: Linking Cognitive and Neural States.William Bechtel - 1999 - Philosophy of Science 66 (2):175-207.
    The claim of the multiple realizability of mental states by brain states has been a major feature of the dominant philosophy of mind of the late 20th century. The claim is usually motivated by evidence that mental states are multiply realized, both within humans and between humans and other species. We challenge this contention by focusing on how neuroscientists differentiate brain areas. The fact that they rely centrally on psychological measures in mapping the brain and do so in a comparative (...)
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  • Modularity in cognition: Framing the debate.H. Clark Barrett & Robert Kurzban - 2006 - Psychological Review 113 (3):628-647.
    Modularity has been the subject of intense debate in the cognitive sciences for more than 2 decades. In some cases, misunderstandings have impeded conceptual progress. Here the authors identify arguments about modularity that either have been abandoned or were never held by proponents of modular views of the mind. The authors review arguments that purport to undermine modularity, with particular attention on cognitive architecture, development, genetics, and evolution. The authors propose that modularity, cleanly defined, provides a useful framework for directing (...)
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  • After phrenology: Time for a paradigm shift in cognitive science.Paul Benjamin Badcock, Annemie Ploeger & Nicholas Brian Allen - 2016 - Behavioral and Brain Sciences 39.
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  • Neural reuse: A fundamental organizational principle of the brain.Michael L. Anderson - 2010 - Behavioral and Brain Sciences 33 (4):245.
    An emerging class of theories concerning the functional structure of the brain takes the reuse of neural circuitry for various cognitive purposes to be a central organizational principle. According to these theories, it is quite common for neural circuits established for one purpose to be exapted (exploited, recycled, redeployed) during evolution or normal development, and be put to different uses, often without losing their original functions. Neural reuse theories thus differ from the usual understanding of the role of neural plasticity (...)
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  • On cognitive capacity.Noam A. Chomsky - 1975 - In Reflections on Language. Pantheon Books.