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  1. Representational development need not be explicable-by-content.Nicholas Shea - 2016 - In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer.
    Fodor’s radical concept nativism flowed from his view that hypothesis testing is the only route to concept acquisition. Many have successfully objected to the overly-narrow restriction to learning by hypothesis testing. Existing representations can be connected to a new representational vehicle so as to constitute a sustaining mechanism for a new representation, without the new representation thereby being constituted by or structured out of the old. This paper argues that there is also a deeper objection. Connectionism shows that a more (...)
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  • How to read minds.Tim Bayne - 2012 - In Sarah Richmond, Geraint Rees & Sarah J. L. Edwards (eds.), I know what you're thinking: brain imaging and mental privacy. Oxford: Oxford University Press. pp. 41.
    Most animals have mental states of one sort or another, but few species share our capacity for self-awareness. We are aware of our own mental states via introspection, and we are aware of the mental states of our fellow human beings on the basis of what they do and say. This chapter is not concerned with these traditional forms of mind-reading—forms whose origins predate the beginnings of recorded history—but with the prospects of a rather different and significantly more recent form (...)
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  • Extended cognition and fixed properties: steps to a third-wave version of extended cognition.Michael David Kirchhoff - 2012 - Phenomenology and the Cognitive Sciences 11 (2):287–308.
    This paper explores several paths a distinctive third wave of extended cognition might take. In so doing, I address a couple of shortcomings of first- and second-wave extended cognition associated with a tendency to conceive of the properties of internal and external processes as fixed and non-interchangeable. First, in the domain of cognitive transformation, I argue that a problematic tendency of the complementarity model is that it presupposes that socio-cultural resources augment but do not significantly transform the brain’s representational capacities (...)
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  • What developmental biology can tell us about innateness.Gary F. Marcus - 2005 - In Peter Carruthers, Stephen Laurence & Stephen P. Stich (eds.), The Innate Mind: Structure and Contents. New York, US: Oxford University Press USA. pp. 23.
    This chapter examines an apparent tension created by recent research on neurological development and genetics on the one hand and cognitive development on the other. It considers what it might mean for intrinsic signals to guide the initial establishment of functional architecture. It argues that an understanding of the mechanisms by which the body develops can inform our understanding of the mechanisms by which the brain develops. It cites the view of developmental neurobiologists Fukuchi-Shimogori and Grove, that the patterning of (...)
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  • Innateness and the brain.Steven R. Quartz - 2003 - Biology and Philosophy 18 (1):13-40.
    The philosophical innateness debate has long relied onpsychological evidence. For a century, however, a parallel debate hastaken place within neuroscience. In this paper, I consider theimplications of this neuroscience debate for the philosophicalinnateness debate. By combining the tools of theoretical neurobiologyand learning theory, I introduce the ``problem of development'' that alladaptive systems must solve, and suggest how responses to this problemcan demarcate a number of innateness proposals. From this perspective, Isuggest that the majority of natural systems are in fact innate. (...)
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  • 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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  • Modeling cross-situational word–referent learning: Prior questions.Chen Yu & Linda B. Smith - 2012 - Psychological Review 119 (1):21-39.
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  • Hierarchical minds and the perception/cognition distinction.Daniel Williams - 2023 - Inquiry: An Interdisciplinary Journal of Philosophy 66 (2):275-297.
    Recent research in cognitive and computational neuroscience portrays the neocortex as a hierarchically structured prediction machine. Several theorists have drawn on this research to challenge the traditional distinction between perception and cognition – specifically, to challenge the very idea that perception and cognition constitute useful kinds from the perspective of cognitive neuroscience. In place of this traditional taxonomy, such theorists advocate a unified inferential hierarchy subject to substantial bi-directional message passing. I outline the nature of this challenge and then raise (...)
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  • Models of atypical development must also be models of normal development.Gert Westermann & Denis Mareschal - 2002 - Behavioral and Brain Sciences 25 (6):771-772.
    Connectionist models aiming to reveal the mechanisms of atypical development must in their undamaged form constitute plausible models of normal development and follow a developmental trajectory that matches empirical data. Constructivist models that adapt their structure to the learning task satisfy this demand. They are therefore more informative in the study of atypical development than the static models employed by Thomas & Karmiloff-Smith (T&K-S).
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  • Experience‐Dependent Brain Development as a Key to Understanding the Language System.Gert Westermann - 2016 - Topics in Cognitive Science 8 (2):446-458.
    An influential view of the nature of the language system is that of an evolved biological system in which a set of rules is combined with a lexicon that contains the words of the language together with a representation of their context. Alternative views, usually based on connectionist modeling, attempt to explain the structure of language on the basis of complex associative processes. Here, I put forward a third view that stresses experience-dependent structural development of the brain circuits supporting language (...)
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  • Studying development in the 21st century.Michael S. C. Thomas, Gert Westermann, Denis Mareschal, Mark H. Johnson, Sylvain Sirois & Michael Spratling - 2008 - Behavioral and Brain Sciences 31 (3):345-356.
    In this response, we consider four main issues arising from the commentaries to the target article. These include further details of the theory of interactive specialization, the relationship between neuroconstructivism and selectionism, the implications of neuroconstructivism for the notion of representation, and the role of genetics in theories of development. We conclude by stressing the importance of multidisciplinary approaches in the future study of cognitive development and by identifying the directions in which neuroconstructivism can expand in the Twenty-first Century.
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  • Are developmental disorders like cases of adult brain damage? Implications from connectionist modelling.Michael Thomas & Annette Karmiloff-Smith - 2002 - Behavioral and Brain Sciences 25 (6):727-750.
    It is often assumed that similar domain-specific behavioural impairments found in cases of adult brain damage and developmental disorders correspond to similar underlying causes, and can serve as convergent evidence for the modular structure of the normal adult cognitive system. We argue that this correspondence is contingent on an unsupported assumption that atypical development can produce selective deficits while the rest of the system develops normally (Residual Normality), and that this assumption tends to bias data collection in the field. Based (...)
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  • Advancing the rationality debate.Keith E. Stanovich & Richard F. West - 2000 - Behavioral and Brain Sciences 23 (5):701-717.
    In this response, we clarify several misunderstandings of the understanding/acceptance principle and defend our specific operationalization of that principle. We reiterate the importance of addressing the problem of rational task construal and we elaborate the notion of computational limitations contained in our target article. Our concept of thinking dispositions as variable intentional-level styles of epistemic and behavioral regulation is explained, as is its relation to the rationality debate. Many of the suggestions of the commentators for elaborating two-process models are easily (...)
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  • Précis of neuroconstructivism: How the brain constructs cognition.Sylvain Sirois, Michael Spratling, Michael S. C. Thomas, Gert Westermann, Denis Mareschal & Mark H. Johnson - 2008 - Behavioral and Brain Sciences 31 (3):321-331.
    Neuroconstructivism: How the Brain Constructs Cognition proposes a unifying framework for the study of cognitive development that brings together (1) constructivism (which views development as the progressive elaboration of increasingly complex structures), (2) cognitive neuroscience (which aims to understand the neural mechanisms underlying behavior), and (3) computational modeling (which proposes formal and explicit specifications of information processing). The guiding principle of our approach is context dependence, within and (in contrast to Marr [1982]) between levels of organization. We propose that three (...)
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  • Procedural knowledge in molecular biology.Baljinder Sahdra & Paul Thagard - 2003 - Philosophical Psychology 16 (4):477 – 498.
    A crucial part of the knowledge of molecular biologists is procedural knowledge, that is, knowledge of how to do things in laboratories. Procedural knowledge of molecular biologists involves both perceptual-motor skills and cognitive skills. We discuss such skills required in performing the most commonly used molecular biology techniques, namely, Polymerase Chain Reaction and gel electrophoresis. We argue that procedural knowledge involved in performing these techniques is more than just knowing their protocols. Creative exploration and experience are essential for the acquisition (...)
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  • The new associationism: A neural explanation of the predictive powers of the cerebral cortex. [REVIEW]Dan Ryder & Oleg Favorov - 2001 - Brain and Mind 2 (2):161-194.
    The ability to predict is the most importantability of the brain. Somehow, the cortex isable to extract regularities from theenvironment and use those regularities as abasis for prediction. This is a most remarkableskill, considering that behaviourallysignificant environmental regularities are noteasy to discern: they operate not only betweenpairs of simple environmental conditions, astraditional associationism has assumed, butamong complex functions of conditions that areorders of complexity removed from raw sensoryinputs. We propose that the brain's basicmechanism for discovering such complexregularities is implemented in (...)
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  • SINBaD neurosemantics: A theory of mental representation.Dan Ryder - 2004 - Mind and Language 19 (2):211-240.
    I present an account of mental representation based upon the ‘SINBAD’ theory of the cerebral cortex. If the SINBAD theory is correct, then networks of pyramidal cells in the cerebral cortex are appropriately described as representing, or more specifically, as modelling the world. I propose that SINBAD representation reveals the nature of the kind of mental representation found in human and animal minds, since the cortex is heavily implicated in these kinds of minds. Finally, I show how SINBAD neurosemantics can (...)
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  • Language acquisition in the absence of explicit negative evidence: how important is starting small?Douglas L. T. Rohde & David C. Plaut - 1999 - Cognition 72 (1):67-109.
  • On the 'dynamic brain' metaphor.Péter Érdi - 2000 - Brain and Mind 1 (1):119-145.
    Dynamic systems theory offers conceptual andmathematical tools for describing the performance ofneural systems at very different levels oforganization. Three aspects of the dynamic paradigmare discussed, namely neural rhythms, neural andmental development, and macroscopic brain theories andmodels.
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  • Genes, brain, and cognition: A roadmap for the cognitive scientist.F. Ramus - 2006 - Cognition 101 (2):247-269.
  • Defending realism on the proper ground.Athanassios Raftopoulos - 2006 - Philosophical Psychology 19 (1):47-77.
    'Epistemological constructivism' holds that vision is mediated by background preconceptions and is theory-laden. Hence, two persons with differing theoretical commitments see the world differently and they could agree on what they see only if they both espoused the same conceptual framework. This, in its turn, undermines the possibility of theory testing and choice on a common theory-neutral empirical basis. In this paper, I claim that the cognitive sciences suggest that a part of vision may be only indirectly penetrated by cognition (...)
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  • Altruism and selfishness.Howard Rachlin - 2002 - Behavioral and Brain Sciences 25 (2):239-250.
    Many situations in human life present choices between (a) narrowly preferred particular alternatives and (b) narrowly less preferred (or aversive) particular alternatives that nevertheless form part of highly preferred abstract behavioral patterns. Such alternatives characterize problems of self-control. For example, at any given moment, a person may accept alcoholic drinks yet also prefer being sober to being drunk over the next few days. Other situations present choices between (a) alternatives beneficial to an individual and (b) alternatives that are less beneficial (...)
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  • From cognitive science to cognitive neuroscience to neuroeconomics.Steven R. Quartz - 2008 - Economics and Philosophy 24 (3):459-471.
    As an emerging discipline, neuroeconomics faces considerable methodological and practical challenges. In this paper, I suggest that these challenges can be understood by exploring the similarities and dissimilarities between the emergence of neuroeconomics and the emergence of cognitive and computational neuroscience two decades ago. From these parallels, I suggest the major challenge facing theory formation in the neural and behavioural sciences is that of being under-constrained by data, making a detailed understanding of physical implementation necessary for theory construction in neuroeconomics. (...)
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  • Réponses à mes critiques.Joëlle Proust - 2008 - Philosophiques 35 (1):139-159.
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  • Problems of empirical solutions to the theory-ladenness of observation.Themistoklis Pantazakos - 2021 - Synthese 199 (5-6):12985-13007.
    Recent years have seen enticing empirical approaches to solving the epistemological problem of the theory-ladenness of observation. I group these approaches in two categories according to their method of choice: testing and refereeing. I argue that none deliver what friends of theory-neutrality want them to. Testing does not work because both evidence from cognitive neuroscience and perceptual pluralism independently invalidate the existence of a common observation core. Refereeing does not work because it treats theory-ladenness as a kind of superficial, removable (...)
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  • The Benefit of Cross-Modal Reorganization on Speech Perception in Pediatric Cochlear Implant Recipients Revealed Using Functional Near-Infrared Spectroscopy.Faizah Mushtaq, Ian M. Wiggins, Pádraig T. Kitterick, Carly A. Anderson & Douglas E. H. Hartley - 2020 - Frontiers in Human Neuroscience 14.
  • Pictures, Plants, and Propositions.Alex Morgan - 2019 - Minds and Machines 29 (2):309-329.
    Philosophers have traditionally held that propositions mark the domain of rational thought and inference. Many philosophers have held that only conceptually sophisticated creatures like us could have propositional attitudes. But in recent decades, philosophers have adopted increasingly liberal views of propositional attitudes that encompass the mental states of various non-human animals. These views now sit alongside more traditional views within the philosophical mainstream. In this paper I argue that liberalized views of propositional attitudes are so liberal that they encompass states (...)
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  • Pictures, Plants, and Propositions.Alex Morgan - 2019 - Minds and Machines 29 (2):309-329.
    Philosophers have traditionally held that propositions mark the domain of rational thought and inference. Many philosophers have held that only conceptually sophisticated creatures like us could have propositional attitudes. But in recent decades, philosophers have adopted increasingly liberal views of propositional attitudes that encompass the mental states of various non-human animals. These views now sit alongside more traditional views within the philosophical mainstream. In this paper I argue that liberalized views of propositional attitudes are so liberal that they encompass states (...)
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  • Neural Plasticity, Neuronal Recycling and Niche Construction.Richard Menary - 2014 - Mind and Language 29 (3):286-303.
    In Reading in the Brain, Stanislas Dehaene presents a compelling account of how the brain learns to read. Central to this account is his neuronal recycling hypothesis: neural circuitry is capable of being ‘recycled’ or converted to a different function that is cultural in nature. The original function of the circuitry is not entirely lost and constrains what the brain can learn. It is argued that the neural niche co-evolves with the environmental niche in a way that does not undermine (...)
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  • Rules, representations, and the English past tense.William Marslen-Wilson & Lorraine K. Tyler - 1998 - Trends in Cognitive Sciences 2 (11):428-435.
  • How Does the Mind Work? Insights from Biology.Gary Marcus - 2009 - Topics in Cognitive Science 1 (1):145-172.
    Cognitive scientists must understand not just what the mind does, but how it does what it does. In this paper, I consider four aspects of cognitive architecture: how the mind develops, the extent to which it is or is not modular, the extent to which it is or is not optimal, and the extent to which it should or should not be considered a symbol‐manipulating device (as opposed to, say, an eliminative connectionist network). In each case, I argue that insights (...)
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  • Selective representing and world-making.Pete Mandik & Andy Clark - 2002 - Minds and Machines 12 (3):383-395.
    In this paper, we discuss the thesis of selective representing — the idea that the contents of the mental representations had by organisms are highly constrained by the biological niches within which the organisms evolved. While such a thesis has been defended by several authors elsewhere, our primary concern here is to take up the issue of the compatibility of selective representing and realism. In this paper we hope to show three things. First, that the notion of selective representing is (...)
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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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  • Systemic functional adaptedness and domain-general cognition: broadening the scope of evolutionary psychology.Michael Lundie - 2019 - Biology and Philosophy 34 (1):8.
    Evolutionary psychology tends to be associated with a massively modular cognitive architecture. On this framework of human cognition, an assembly of specialized information processors called modules developed under selection pressures encountered throughout the phylogenic history of hominids. The coordinated activity of domain-specific modules carries out all the processes of belief fixation, abstract reasoning, and other facets of central cognition. Against the massive modularity thesis, I defend an account of systemic functional adaptedness, according to which non-modular systems emerged because of adaptive (...)
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  • A developmental model of number representation.Karin Kucian & Liane Kaufmann - 2009 - Behavioral and Brain Sciences 32 (3-4):340-341.
    We delineate a developmental model of number representations. Notably, developmental dyscalculia (DD) is rarely associated with an all-or-none deficit in numerosity processing as would be expected if assuming abstract number representations. Finally, we suggest that the view might be a plausible explanatory framework for our model of how number representations develop.
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  • Extended cognition and fixed properties: steps to a third-wave version of extended cognition. [REVIEW]Michael David Kirchhoff - 2012 - Phenomenology and the Cognitive Sciences 11 (2):287-308.
    This paper explores several paths a distinctive third wave of extended cognition might take. In so doing, I address a couple of shortcomings of first- and second-wave extended cognition associated with a tendency to conceive of the properties of internal and external processes as fixed and non-interchangeable. First, in the domain of cognitive transformation, I argue that a problematic tendency of the complementarity model is that it presupposes that socio-cultural resources augment but do not significantly transform the brain’s representational capacities (...)
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  • Development itself is the key to understanding developmental disorders.Annette Karmiloff-Smith - 1998 - Trends in Cognitive Sciences 2 (10):389-398.
  • Environmental influences on neural systems of relational complexity.M. Layne Kalbfleisch, Megan T. deBettencourt, Rebecca Kopperman, Meredith Banasiak, Joshua M. Roberts & Maryam Halavi - 2013 - Frontiers in Psychology 4.
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  • How Infants Learn About the Visual World.Scott P. Johnson - 2010 - Cognitive Science 34 (7):1158-1184.
    The visual world of adults consists of objects at various distances, partly occluding one another, substantial and stable across space and time. The visual world of young infants, in contrast, is often fragmented and unstable, consisting not of coherent objects but rather surfaces that move in unpredictable ways. Evidence from computational modeling and from experiments with human infants highlights three kinds of learning that contribute to infants’ knowledge of the visual world: learning via association, learning via active assembly, and learning (...)
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  • Thinking tools: Acquired skills, cultural niche construction, and thinking with things.Ben Jeffares - 2012 - Behavioral and Brain Sciences 35 (4):228-229.
    The investigative strategy that Vaesen uses presumes that cognitive skills are to some extent hardwired; developmentally plastic traits would not provide the relevant comparative information. But recent views of cognition that stress external resources, and evolutionary accounts such as cultural niche construction, urge us to think carefully about the role of technology in shaping cognition.
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  • Back to Australopithecus: Utilizing New Theories of Cognition to Understand the Pliocene Hominins.Ben Jeffares - 2014 - Biological Theory 9 (1):4-15.
    The evolution of cognition literature is dominated by views that presume the evolution of underlying neural structures. However, recent models of cognition reemphasize the role of physiological structures, development, and external resources as important components of cognition. This article argues that these alternative models of cognition challenge our understanding of human cognitive evolution. As a case study, it focuses on rehabilitating bipedalism as a crucial moment in human evolution. The australopithecines are often seen as “merely” bipedal chimpanzees, with a similar (...)
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  • “Economic man” in cross-cultural perspective: Behavioral experiments in 15 small-scale societies.Joseph Henrich, Robert Boyd, Samuel Bowles, Colin Camerer, Ernst Fehr, Herbert Gintis, Richard McElreath, Michael Alvard, Abigail Barr, Jean Ensminger, Natalie Smith Henrich, Kim Hill, Francisco Gil-White, Michael Gurven, Frank W. Marlowe & John Q. Patton - 2005 - Behavioral and Brain Sciences 28 (6):795-815.
    Researchers from across the social sciences have found consistent deviations from the predictions of the canonical model of self-interest in hundreds of experiments from around the world. This research, however, cannot determine whether the uniformity results from universal patterns of human behavior or from the limited cultural variation available among the university students used in virtually all prior experimental work. To address this, we undertook a cross-cultural study of behavior in ultimatum, public goods, and dictator games in a range of (...)
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  • Nativism and neuroconstructivism in the explanation of Williams syndrome.Philip Gerrans - 2003 - Biology and Philosophy 18 (1):41-52.
    Nativists about syntactic processing have argued that linguisticprocessing, understood as the implementation of a rule-basedcomputational architecture, is spared in Williams syndrome, (WMS)subjects – and hence that it provides evidence for a geneticallyspecified language module. This argument is bolstered by treatingSpecific Language Impairments (SLI) and WMS as a developmental doubledissociation which identifies a syntax module. Neuroconstructivists haveargued that the cognitive deficits of a developmental disorder cannot beadequately distinguished using the standard gross behavioural tests ofneuropsychology and that the linguistic abilities of the (...)
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  • Mechanisms of madness: Evolutionary psychiatry without evolutionary psychology.Philip Gerrans - 2007 - Biology and Philosophy 22 (1):35-56.
    Delusions are currently characterised as false beliefs produced by incorrect inference about external reality (DSM IV). This inferential conception has proved hard to link to explanations pitched at the level of neurobiology and neuroanatomy. This paper provides that link via a neurocomputational theory, based on evolutionary considerations, of the role of the prefrontal cortex in regulating offline cognition. When pathologically neuromodulated the prefrontal cortex produces hypersalient experiences which monopolise offline cognition. The result is characteristic psychotic experiences and patterns of thought. (...)
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  • La lecture de pensée pour débutants.Philip Gerrans - 2006 - Philosophiques 33 (1):125-145.
    Some evolutionary psychologists (EP) are strong nativists about Theory of Mind (TOM). They argue that the development of specialised cognitive competence required for TOM requires genetic specification of the developmental trajectory of a specialised cognitive system. EP arrives at this conclusion via conceptual arguments concerning the inadequacy of blank slate neuroconstructivism (strong neuroconstructivism) and empirical evidence from developmental and neuropsychology. I argue that the correct understanding of the conceptual argument applied to the case of TOM supports a moderate form of (...)
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  • Selected effects and causal role functions in the brain: the case for an etiological approach to neuroscience.Justin Garson - 2011 - Biology and Philosophy 26 (4):547-565.
    Despite the voluminous literature on biological functions produced over the last 40 years, few philosophers have studied the concept of function as it is used in neuroscience. Recently, Craver (forthcoming; also see Craver 2001) defended the causal role theory against the selected effects theory as the most appropriate theory of function for neuroscience. The following argues that though neuroscientists do study causal role functions, the scope of that theory is not as universal as claimed. Despite the strong prima facie superiority (...)
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  • How to Be a Function Pluralist.Justin Garson - 2018 - British Journal for the Philosophy of Science 69 (4):1101-1122.
    I distinguish two forms of pluralism about biological functions, between-discipline pluralism and within-discipline pluralism. Between-discipline pluralism holds that different theories of function are appropriate for different subdisciplines of biology and psychology. I provide reasons for rejecting this view. Instead, I recommend within-discipline pluralism, which emphasizes the plurality of function concepts at play within any given subdiscipline of biology and psychology.
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  • Function, selection, and construction in the brain.Justin Garson - 2012 - Synthese 189 (3):451-481.
    A common misunderstanding of the selected effects theory of function is that natural selection operating over an evolutionary time scale is the only functionbestowing process in the natural world. This construal of the selected effects theory conflicts with the existence and ubiquity of neurobiological functions that are evolutionary novel, such as structures underlying reading ability. This conflict has suggested to some that, while the selected effects theory may be relevant to some areas of evolutionary biology, its relevance to neuroscience is (...)
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  • A Generalized Selected Effects Theory of Function.Justin Garson - 2017 - Philosophy of Science 84 (3):523-543.
    I present and defend the generalized selected effects theory (GSE) of function. According to GSE, the function of a trait consists in the activity that contributed to its bearer’s differential reproduction, or differential retention, within a population. Unlike the traditional selected effects (SE) theory, it does not require that the functional trait helped its bearer reproduce; differential retention is enough. Although the core theory has been presented previously, I go significantly beyond those presentations by providing a new argument for GSE (...)
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