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Summary The philosophy of neuroscience of representation addresses problems concerning the naturalization of representational content as well as questions concerning the format of representations implemented in brains and neural-inspired artificial systems (connectionist networks).
Key works A key work concerning the naturalization of intentional content as seen from a neural perspective is Akins 1996. See also,  Churchland 1993. Regarding whether connectionist networks utilize a distinct kind of representation, see the classic Haugeland 1998.
Introductions For an introductory overview of the neural basis of content, see the early parts of Mandik 2003. On the question of the format of neural representation, as well as related issues concerning neural computation, see Eliasmith 2003.
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  1. added 2020-03-28
    A memória episódica, o problema da cotemporalidade, e o senso comum.César Schirmer Dos Santos - forthcoming - In Gerson Albuquerque de Araújo Neto & Giovanni Rolla (eds.), Ciência e Conhecimento. Teresina: Editora da Universidade Federal do Piauí. pp. 101-123.
    Os realistas diretos sobre a memória episódica alegam que um sujeito que lembra está em contato direto com um evento passado. No entanto, como seria possível estar em contato direto com um evento que deixou de existir? Este é o assim-chamado problema da cotemporalidade. A solução padrão para este problema, a qual foi proposta por Sven Bernecker, consiste em distinguir entre, por um lado, a ocorrência de um evento, e, por outro lado, a existência de um evento, de modo que (...)
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  2. added 2020-02-11
    Informational Neuro-Connections of the Brain with the Body Supporting the Informational Model of Consciousness.Florin Gaiseanu - 2019 - Archives in Neurology and Neuroscience 4 (1):1-6.
    Introduction: The objective of this investigation is to analyse the informational circuits of the brain connections with the body from neurologic and neuroscience point of view, on the basis of the concepts of information promoted by the Informational Model of Consciousness. Analysis: Distinguishing between the virtual and matter-related information promoted by the Informational Model of Consciousness, the main specific features of consciousness are analyzed from the informational perspective, showing that the informational architecture of consciousness consists in seven groups of specific (...)
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  3. added 2020-01-19
    Entity Realism About Mental Representations.Bence Nanay - forthcoming - Erkenntnis:1-17.
    The concept of mental representation has long been considered to be central concept of philosophy of mind and cognitive science. But not everyone agrees. Neo-behaviorists aim to explain the mind without positing any representations. My aim here is not to assess the merits and demerits of neo-behaviorism, but to take their challenge seriously and ask the question: What justifies the attribution of representations to an agent? Both representationalists and neo-behaviorists tend to take it for granted that the real question about (...)
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  4. added 2020-01-17
    Probabilistic Representations in Perception: Are There Any, and What Would They Be?Steven Gross - forthcoming - Mind and Language.
    Nick Shea’s Representation in Cognitive Science commits him to representations in perceptual processing that are about probabilities. This commentary concerns how to adjudicate between this view and an alternative that locates the probabilities rather in the representational states’ associated “attitudes”. As background and motivation, evidence for probabilistic representations in perceptual processing is adduced, and it is shown how, on either conception, one can address a specific challenge Ned Block has raised to this evidence.
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  5. added 2020-01-13
    Unifying the Essential Concepts of Biological Networks: Biological Insights and Philosophical Foundations.Daniel Kostic, Claus Hilgetag & Marc Tittgemeyer - forthcoming - Philosophical Transactions of the Royal Society B: Biological Sciences.
    Over the last decades, network-based approaches have become highly popular in diverse fields of biology, including neuroscience, ecology, molecular biology and genetics. While these approaches continue to grow very rapidly, some of their conceptual and methodological aspects still require a programmatic foundation. This challenge particularly concerns the question of whether a generalized account of explanatory, organisational and descriptive levels of networks can be applied universally across biological sciences. To this end, this highly interdisciplinary theme issue focuses on the definition, motivation (...)
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  6. added 2019-12-15
    Similarity-Based Cognition: Radical Enactivism Meets Cognitive Neuroscience.Miguel Segundo-Ortin & Daniel D. Hutto - 2019 - Synthese:1-19.
    Similarity-based cognition is commonplace. It occurs whenever an agent or system exploits the similarities that hold between two or more items—e.g., events, processes, objects, and so on—in order to perform some cognitive task. This kind of cognition is of special interest to cognitive neuroscientists. This paper explicates how similarity-based cognition can be understood through the lens of radical enactivism and why doing so has advantages over its representationalist rival, which posits the existence of structural representations or S-representations. Specifically, it is (...)
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  7. added 2019-11-08
    Arguing From Neuroscience in Psychiatry.James Phillips - 2002 - Philosophy, Psychiatry, and Psychology 9 (1):61-63.
  8. added 2019-11-02
    Liberal Representationalism: A Deflationist Defense.Marc Artiga - 2016 - Dialectica 70 (3):407-430.
    The idea that only complex brains can possess genuine representations is an important element in mainstream philosophical thinking. An alternative view, which I label ‘liberal representationalism’, holds that we should accept the existence of many more full-blown representations, from activity in retinal ganglion cells to the neural states produced by innate releasing mechanisms in cognitively unsophisticated organisms. A promising way of supporting liberal representationalism is to show it to be a consequence of our best naturalistic theories of representation. However, several (...)
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  9. added 2019-11-02
    Teleosemantic Modeling of Cognitive Representations.Marc Artiga - 2016 - Biology and Philosophy 31 (4):483-505.
    Naturalistic theories of representation seek to specify the conditions that must be met for an entity to represent another entity. Although these approaches have been relatively successful in certain areas, such as communication theory or genetics, many doubt that they can be employed to naturalize complex cognitive representations. In this essay I identify some of the difficulties for developing a teleosemantic theory of cognitive representations and provide a strategy for accommodating them: to look into models of signaling in evolutionary game (...)
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  10. added 2019-10-04
    Joint Action Goals Reduce Visuomotor Interference Effects From a Partner’s Incongruent Actions.Sam Clarke, Luke McEllin, Anna Francová, Marcell Székely, Stephen Andrew Butterfill & John Michael - 2019 - Scientific Reports 9 (1).
    Joint actions often require agents to track others’ actions while planning and executing physically incongruent actions of their own. Previous research has indicated that this can lead to visuomotor interference effects when it occurs outside of joint action. How is this avoided or overcome in joint actions? We hypothesized that when joint action partners represent their actions as interrelated components of a plan to bring about a joint action goal, each partner’s movements need not be represented in relation to distinct, (...)
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  11. added 2019-06-06
    Et Pourquoi Pas Une Explication Non Représentationnelle de L’Action Motrice?Pierre Poirier - 2007 - Dialogue 46 (2):353-360.
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  12. added 2019-06-06
    A Neurocomputational Perspective: The Nature of Mind and the Structure of Science.Lynne Rudder Baker & Paul M. Churchland - 1992 - Philosophical Review 101 (4):906.
  13. added 2019-05-01
    Teleosemantics, Selection and Novel Contents.Justin Garson & David Papineau - 2019 - Biology and Philosophy 34 (3):36.
    Mainstream teleosemantics is the view that mental representation should be understood in terms of biological functions, which, in turn, should be understood in terms of selection processes. One of the traditional criticisms of teleosemantics is the problem of novel contents: how can teleosemantics explain our ability to represent properties that are evolutionarily novel? In response, some have argued that by generalizing the notion of a selection process to include phenomena such as operant conditioning, and the neural selection that underlies it, (...)
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  14. added 2019-04-29
    Representation and Mental Representation.Robert D. Rupert - 2018 - Philosophical Explorations 21 (2):204-225.
    This paper engages critically with anti-representationalist arguments pressed by prominent enactivists and their allies. The arguments in question are meant to show that the “as-such” and “job-description” problems constitute insurmountable challenges to causal-informational theories of mental content. In response to these challenges, a positive account of what makes a physical or computational structure a mental representation is proposed; the positive account is inspired partly by Dretske’s views about content and partly by the role of mental representations in contemporary cognitive scientific (...)
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  15. added 2019-03-20
    Why Foot-Tapping Is Important but Not Enough? Some Methodological Problems in the Embodied Approach to Musical Meaning.Tomasz Szubart - 2017 - Avant: Trends in Interdisciplinary Studies 8 (1):101-106.
    In this short paper I critically analyze Marc Leman’s embodied approach to musical meaning and representation, suggesting that its explanatory value is not sufficient in order to be a good alternative for theories encompassing the concept of representation.
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  16. added 2019-03-12
    Perception is Analog: The Argument From Weber's Law.Jacob Beck - 2019 - Journal of Philosophy 116 (6):319-349.
    In the 1980s, a number of philosophers argued that perception is analog. In the ensuing years, these arguments were forcefully criticized, leaving the thesis in doubt. This paper draws on Weber’s Law, a well-entrenched finding from psychophysics, to advance a new argument that perception is analog. This new argument is an adaptation of an argument that cognitive scientists have leveraged in support of the contention that primitive numerical representations are analog. But the argument here is extended to the representation of (...)
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  17. added 2019-03-07
    Surfing Uncertainty: Prediction, Action, and the Embodied Brain. [REVIEW]Andrew Buskell - 2017 - BJPS Review of Books.
  18. added 2019-02-04
    An Efficient Coding Approach to the Debate on Grounded Cognition.Abel Wajnerman Paz - 2018 - Synthese 195 (12):5245-5269.
    The debate between the amodal and the grounded views of cognition seems to be stuck. Their only substantial disagreement is about the vehicle or format of concepts. Amodal theorists reject the grounded claim that concepts are couched in the same modality-specific format as representations in sensory systems. The problem is that there is no clear characterization of format or its neural correlate. In order to make the disagreement empirically meaningful and move forward in the discussion we need a neurocognitive criterion (...)
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  19. added 2019-02-04
    A Defense of an Amodal Number System.Abel Wajnerman Paz - 2018 - Philosophies 3 (2):13-0.
    It has been argued that the approximate number system constitutes a problem for the grounded approach to cognition because it implies that some conceptual tasks are performed by non-perceptual systems. The ANS is considered non-perceptual mainly because it processes stimuli from different modalities. Jones has recently argued that this system has many features which are characteristic of sensory systems. Additionally, he affirms that traditional sensory systems also process inputs from different modalities. This suggests that the ANS is a perceptual system (...)
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  20. added 2019-01-31
    Using Neural Response Properties to Draw the Distinction Between Modal and Amodal Representations.Abel Wajnerman Paz - 2019 - Philosophical Psychology 32 (3):301-331.
    Barsalou has recently argued against the strategy of identifying amodal neural representations by using their cross-modal responses (i.e., their responses to stimuli from different modalities). I agree that there are indeed modal structures that satisfy this “cross-modal response” criterion (CM), such as distributed and conjunctive modal representations. However, I argue that we can distinguish between modal and amodal structures by looking into differences in their cross-modal responses. A component of a distributed cell assembly can be considered unimodal because its responses (...)
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  21. added 2018-11-24
    Innovationstheorie und die Evolution menschlicher Fähigkeiten: Beispiel Empathie.Alfred Gierer - 1998 - Nova Acta Leopoldina 77 (304):85-98.
    A summarizing English version on “Theory of Innovation and the Evolution of General Human Capabilities, such as Cognition-based Empathy” is included in the download. Den biologisch modernen Menschentyp charakterisieren sehr allgemeine Fähigkeiten, wie begriffliche Sprache, strategisches Denken und kognitionsgestützte Empathie. Neurobiologisch kann Empathiefähigkeit als eine Verbindung von Repräsentationen von Mitmenschen mit dem je eigenen Gefühlszentren im Gehirn angesehen werden. In Grundzügen ist sie vor vielleicht 100 000 Jahren als Folge von Mutationen der Erbsubstanz DNA entstanden. Für solche genetische Innovationen spielten (...)
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  22. added 2018-11-09
    The Future of Cognitive Neuroscience? Reverse Inference in Focus.Marco J. Nathan & Guillermo Del Pinal - 2017 - Philosophy Compass 12 (7):e12427.
    This article presents and discusses one of the most prominent inferential strategies currently employed in cognitive neuropsychology, namely, reverse inference. Simply put, this is the practice of inferring, in the context of experimental tasks, the engagement of cognitive processes from locations or patterns of neural activation. This technique is notoriously controversial because, critics argue, it presupposes the problematic assumption that neural areas are functionally selective. We proceed as follows. We begin by introducing the basic structure of traditional “location-based” reverse inference (...)
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  23. added 2018-09-21
    The Sense of Time.Gerardo Viera - 2020 - British Journal for the Philosophy of Science 71 (2):443-469.
    It’s often claimed in the philosophical and scientific literature on temporal representation that there is no such thing as a genuine sensory system for time. In this paper, I argue for the opposite—many animals, including all mammals, possess a genuine sensory system for time based in the circadian system. In arguing for this conclusion, I develop a semantics and meta-semantics for explaining how the endogenous rhythms of the circadian system provide organisms with a direct information link to the temporal structure (...)
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  24. added 2018-07-23
    What Kind of Information is Brain Information?Charles Rathkopf - 2020 - Topoi 39 (1):95-102.
    Neural systems process information. This platitude contains an interesting ambiguity between multiple senses of the term “information.” According to a popular thought, the ambiguity is best resolved by reserving semantic concepts of information for the explication of neural activity at a high level of organization, and quantitative concepts of information for the explication of neural activity at a low level of organization. This article articulates the justification behind this view, and concludes that it is an oversimplification. An analysis of the (...)
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  25. added 2018-07-05
    Identified Neurons: What If Every Neuron in the Human Brain has its Own Identity?Robert Vermeulen - manuscript
    Recent research suggests that human memories are stored not between neurons as synaptic weights, but within individual neurons themselves. This opens the possibility to replace the dominant paradigm of brain function – neural networks – with a new one. In this article, I explore how “identified neurons” could explain how memories are stored, and how human traits are implemented in the brain.
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  26. added 2018-02-17
    Complex Non-Linear Biodynamics in Categories, Higher Dimensional Algebra and ŁUkasiewicz''“Moisil Topos: Transformations of Neuronal, Genetic and Neoplastic Networks.I. C. Baianu, R. Brown, G. Georgescu & J. F. Glazebrook - 2006 - Axiomathes 16 (1):65-122.
    A categorical, higher dimensional algebra and generalized topos framework for Łukasiewicz–Moisil Algebraic–Logic models of non-linear dynamics in complex functional genomes and cell interactomes is proposed. Łukasiewicz–Moisil Algebraic–Logic models of neural, genetic and neoplastic cell networks, as well as signaling pathways in cells are formulated in terms of non-linear dynamic systems with n-state components that allow for the generalization of previous logical models of both genetic activities and neural networks. An algebraic formulation of variable ‘next-state functions’ is extended to a Łukasiewicz–Moisil (...)
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  27. added 2018-02-16
    Immediate Transfer of Synesthesia to a Novel Inducer.Aleksandra Mroczko, Thomas Metzinger, Wolf Singer & Danko Nikolić - 2009 - Journal of Vision 9 (12):1-8.
  28. added 2018-01-18
    Modelling Empty Representations: The Case of Computational Models of Hallucination.Marcin Miłkowski - 2017 - In Gordana Dodig-Crnkovic & Raffaela Giovagnoli (eds.), Representation and Reality in Humans, Other Living Organisms and Intelligent Machines. Springer, Cham. pp. 17--32.
    I argue that there are no plausible non-representational explanations of episodes of hallucination. To make the discussion more specific, I focus on visual hallucinations in Charles Bonnet syndrome. I claim that the character of such hallucinatory experiences cannot be explained away non-representationally, for they cannot be taken as simple failures of cognizing or as failures of contact with external reality—such failures being the only genuinely non-representational explanations of hallucinations and cognitive errors in general. I briefly introduce a recent computational model (...)
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  29. added 2017-11-16
    Evidence for a Universe of Illusion.Richard Sanders - 2017 - In Academia.edu. San Francisco, USA:
    I believe that the Buddhist paradigm of the phenomenal world—particularly, the Buddhist assertion that the phenomenal world is not as it appears—is supported by a scientific analysis of perception. When we consider carefully the basics of human perception, as understood by modern science, it becomes clear that phenomenal events are not represented as they truly are. This infidelity of information transfer from external phenomena to personal experience is consistent with the Buddhist view of the world as 'illusory'. Further, I would (...)
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  30. added 2017-11-08
    Networks of Gene Regulation, Neural Development and the Evolution of General Capabilities, Such as Human Empathy.Alfred Gierer - 1998 - Zeitschrift Für Naturforschung C - A Journal of Bioscience 53:716-722.
    A network of gene regulation organized in a hierarchical and combinatorial manner is crucially involved in the development of the neural network, and has to be considered one of the main substrates of genetic change in its evolution. Though qualitative features may emerge by way of the accumulation of rather unspecific quantitative changes, it is reasonable to assume that at least in some cases specific combinations of regulatory parts of the genome initiated new directions of evolution, leading to novel capabilities (...)
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  31. added 2017-09-29
    Brain, Mind, World: Predictive Coding, Neo-Kantianism, and Transcendental Idealism.Dan Zahavi - 2018 - Husserl Studies 34 (1):47-61.
    Recently, a number of neuroscientists and philosophers have taken the so-called predictive coding approach to support a form of radical neuro-representationalism, according to which the content of our conscious experiences is a neural construct, a brain-generated simulation. There is remarkable similarity between this account and ideas found in and developed by German neo-Kantians in the mid-nineteenth century. Some of the neo-Kantians eventually came to have doubts about the cogency and internal consistency of the representationalist framework they were operating within. In (...)
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  32. added 2017-09-04
    A Coupled Attractor Model of the Rodent Head Direction System.Adam Elga - unknown
    Head direction (HD) cells, abundant in the rat postsubiculum and anterior thalamic nuclei, fire maximally when the rat’s head is facing a particular direction. The activity of a population of these cells forms a distributed representation of the animal’s current heading. We describe a neural network model that creates a stable, distributed representation of head direction and updates that representation in response to angular velocity information. In contrast to earlier models, our model of the head direction system accurately tracks a (...)
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  33. added 2017-07-18
    Brain Projective Reality: Novel Clothes for the Emperor.Arturo Tozzi, James F. Peters, Andrew A. Fingelkurts, Alexander A. Fingelkurts & Pedro C. Marijuán - 2017 - Physics of Life Reviews 21:46-55.
    First of all, we would like to gratefully thank all commentators for the attention and effort they have put into reading and responding to our review paper [this issue] and for useful observations that suggest novel applications for our framework. We understand and accept that some of our claims might appear controversial and raise skepticism, because the overall neural framework we have proposed is difficult to frame in established categories, given its strong multidisciplinary character. To make an example, Elsevier is (...)
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  34. added 2017-07-07
    Vanilla PP for Philosophers: A Primer on Predictive Processing.Wanja Wiese & Thomas Metzinger - 2017 - Philosophy and Predictive Processing.
    The goal of this short chapter, aimed at philosophers, is to provide an overview and brief explanation of some central concepts involved in predictive processing (PP). Even those who consider themselves experts on the topic may find it helpful to see how the central terms are used in this collection. To keep things simple, we will first informally define a set of features important to predictive processing, supplemented by some short explanations and an alphabetic glossary. -/- The features described here (...)
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  35. added 2017-06-07
    Towards a Cognitive Neuroscience of Intentionality.Alex Morgan & Gualtiero Piccinini - 2018 - Minds and Machines 28 (1):119-139.
    We situate the debate on intentionality within the rise of cognitive neuroscience and argue that cognitive neuroscience can explain intentionality. We discuss the explanatory significance of ascribing intentionality to representations. At first, we focus on views that attempt to render such ascriptions naturalistic by construing them in a deflationary or merely pragmatic way. We then contrast these views with staunchly realist views that attempt to naturalize intentionality by developing theories of content for representations in terms of information and biological function. (...)
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  36. added 2017-05-26
    No-Report Paradigmatic Ascription of the Minimally Conscious State: Neural Signals as a Communicative Means for Operational Diagnostic Criteria.Hyungrae Noh - 2018 - Minds and Machines 28 (1):173-189.
    The minimally conscious sta te (MCS) is usually ascribed when a patientwith brain damage exhibits obser vable volitional behaviors that predict recovery ofcognitive funct ions. Nevertheless, a patient with brain damage who lacks motorcapacit y might nonetheless be in MCS. For this reason, some clinicians use neuralsignals as a communicative means for MCS ascription. For instance, a vegetativestate patient is diagnosed with MCS if activity in the motor area is observed whenthe instruction to imagine wiggling toes is given. The validi (...)
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  37. added 2017-05-01
    Neural Plasticity and Concepts Ontogeny.Alessio Plebe & Marco Mazzone - 2016 - Synthese 193 (12):3889-3929.
    Neural plasticity has been invoked as a powerful argument against nativism. However, there is a line of argument, which is well exemplified by Pinker and more recently by Laurence and Margolis The conceptual mind: new directions in the study of concepts, MIT, Cambridge, 2015) with respect to concept nativism, according to which even extreme cases of plasticity show important innate constraints, so that one should rather speak of “constrained plasticity”. According to this view, cortical areas are not really equipotential, they (...)
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  38. added 2017-02-27
    Structural Representations: Causally Relevant and Different From Detectors.Paweł Gładziejewski & Marcin Miłkowski - 2017 - Biology and Philosophy 32 (3):337-355.
    This paper centers around the notion that internal, mental representations are grounded in structural similarity, i.e., that they are so-called S-representations. We show how S-representations may be causally relevant and argue that they are distinct from mere detectors. First, using the neomechanist theory of explanation and the interventionist account of causal relevance, we provide a precise interpretation of the claim that in S-representations, structural similarity serves as a “fuel of success”, i.e., a relation that is exploitable for the representation using (...)
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  39. added 2017-01-25
    Zu Evolution und Entwicklung von Hirn und Bewusstsein. Über Zellen und neuronale Netze zu Qualia.Paul Gottlob Layer - 2003 - der Entthronte Mensch? Menthis Verlag, Paderborn:79-97.
    Physiologie und Struktur komplexer Gehirne lassen sich durch Betrachtung evolutions- und entwicklungsbiologischer Abläufe analysieren, was der Hirnforschung tiefe Einblicke bis zur molekularen Ebene erlaubt. In knappster Form werden grundlegende Aspekte der Stammes- und Individualentwicklung (Phylo- und Ontogenese) von Gehirnen im Tierreich beschrieben, bis hin zum menschlichen Gehirn, dessen Grobgliederung skizziert wird. Das Lernvermögen insbesondere von Kleinkindern ist aufgrund postnataler Hirnplastizität erklärbar. Systematische Unterschiede zwischen einzelnen Zellen und Neuronenverbänden sind für selbstorganisierende Bewußtseinsprozesse bedeutsam. Am Beispiel der stufenweisen visuellen Signalverarbeitung wird die (...)
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  40. added 2017-01-19
    Efficiency, Information Theory, and Neural Representations.Joseph T. Devlin, Matt H. Davis, Stuart A. McLelland & Richard P. Russell - 2000 - Behavioral and Brain Sciences 23 (4):475-476.
    We contend that if efficiency and reliability are important factors in neural information processing then distributed, not localist, representations are “evolution's best bet.” We note that distributed codes are the most efficient method for representing information, and that this efficiency minimizes metabolic costs, providing adaptive advantage to an organism.
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  41. added 2017-01-16
    Components of Action Representations Evoked When Identifying Manipulable Objects.Daniel N. Bub, Michael E. J. Masson & Terry Lin - 2015 - Frontiers in Human Neuroscience 9.
  42. added 2017-01-16
    Decomposability and Mental Representation of French Verbs.Gustavo L. Estivalet & Fanny E. Meunier - 2015 - Frontiers in Human Neuroscience 9.
  43. added 2017-01-16
    What Are Task-Sets: A Single, Integrated Representation or a Collection of Multiple Control Representations?Dragan Rangelov, Thomas Töllner, Hermann J. Müller & Michael Zehetleitner - 2013 - Frontiers in Human Neuroscience 7.
  44. added 2016-12-31
    Memory, Environment, and the Brain.César Schirmer Dos Santos - 2013 - Filosofia Unisinos 14 (3):204-214.
    In recent decades, investigation of brain injuries associated with amnesia allowed progress in the philosophy and science of memory, but it also paved the way for the hubris of assuming that memory is an exclusively neural phenomenon. Nonetheless, there are methodological and conceptual reasons preventing a reduction of the ecological and contextual phenomenon of memory to a neural phenomenon, since memory is the observed action of an individual before being the simple output of a brain (or, at least, so we (...)
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  45. added 2016-12-12
    What Sensory Signals Are About.C. L. Elder - 1998 - Analysis 58 (4):273-276.
    In ‘Of Sensory Systems and the “Aboutness” of Mental States’, Kathleen Akins (1996) argues against what she calls ‘the traditional view’ about sensory systems, according to which they are detectors of features in the environment outside the organism. As an antidote, she considers the case of thermoreception, a system whose sensors send signals about how things stand with themselves and their immediate dermal surround (a ‘narcissistic’ sensory system); and she closes by suggesting that the signals from many sensory systems may (...)
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  46. added 2016-12-08
    Philosophy for the Rest of Cognitive Science.Nigel Stepp, Anthony Chemero & Michael T. Turvey - 2011 - Topics in Cognitive Science 3 (2):425-437.
    Cognitive science has always included multiple methodologies and theoretical commitments. The philosophy of cognitive science should embrace, or at least acknowledge, this diversity. Bechtel’s (2009a) proposed philosophy of cognitive science, however, applies only to representationalist and mechanist cognitive science, ignoring the substantial minority of dynamically oriented cognitive scientists. As an example of nonrepresentational, dynamical cognitive science, we describe strong anticipation as a model for circadian systems (Stepp & Turvey, 2009). We then propose a philosophy of science appropriate to nonrepresentational, dynamical (...)
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  47. added 2016-09-02
    Attention in Bodily Awareness.Gregor Hochstetter - 2016 - Synthese 193 (12):3819-3842.
    The aim of this paper is to develop and defend an Attentional View of bodily awareness, on which attention is necessary for bodily awareness. The original formulation of the Attentional View is due to Marcel Kinsbourne. First, I will show that the Attentional View of bodily awareness as formulated by Kinsbourne is superior to other accounts in the literature for characterizing the relationship between attention and bodily awareness. Kinsbourne’s account is the only account in the literature so far which can (...)
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  48. added 2016-04-21
    Neuronal Representation of Numerosity Zero in the Primate Parieto-Frontal Number Network.Araceli Ramirez-Cardenas, Maria Moskaleva & Andreas Nieder - 2016 - Current Biology 26.
    Neurons in the primate parieto-frontal network represent the number of visual items in a collection, but it is unknown whether this system encodes empty sets as conveying null quantity. We recorded from the ventral intraparietal area (VIP) and the prefrontal cortex (PFC) of monkeys performing a matching task including empty sets and countable numerosities as stimuli. VIP neurons encoded empty sets predominantly as a distinct category from numerosities. In contrast, PFC neurons represented empty sets more similarly to numerosity one than (...)
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  49. added 2016-03-14
    Are Non-Abstract Brain Representations of Number Developmentally Plausible?Daniel Ansari - 2009 - Behavioral and Brain Sciences 32 (3-4):329-330.
    The theory put forward by Cohen Kadosh & Walsh (CK&W) proposing that semantic representations of numerical magnitude in the parietal cortex are format-specific, does not specify how these representations might be constructed over the course of learning and development. The developmental predictions of the non-abstract theory are discussed and the need for a developmental perspective on the abstract versus non-abstract question highlighted.
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  50. added 2016-03-11
    Why Build a Virtual Brain? Large-Scale Neural Simulations as Test-Bed for Artificial Computing Systems.Matteo Colombo - 2015 - In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings & P. P. Maglio (eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 429-434.
    Despite the impressive amount of financial resources invested in carrying out large-scale brain simulations, it is controversial what the payoffs are of pursuing this project. The present paper argues that in some cases, from designing, building, and running a large-scale neural simulation, scientists acquire useful knowledge about the computational performance of the simulating system, rather than about the neurobiological system represented in the simulation. What this means, why it is not a trivial lesson, and how it advances the literature on (...)
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