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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. The Co-Ascription of Ordered Lexical Pairs: a Cognitive-Science-Based Semantic Theory of Meaning and Reference: Part 2.Thomas Johnston - manuscript
    (1) This is Part 2 of the semantic theory I call TM. In Part 1, I developed TM as a theory in the analytic philosophy of language, in lexical semantics, and in the sociology of relating occasions of statement production and comprehension to formal and informal lexicographic conclusions about statements and lexical items – roughly, as showing how synchronic semantics is a sociological derivative of diachronic, person-relative acts of linguistic behavior. I included descriptions of new cognitive psychology experimental paradigms which (...)
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  2. 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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  3. Information and the function of neurons.Marc Burock - 2011
    Many of us consider it uncontroversial that information processing is a natural function of the brain. Since functions in biology are only won through empirical investigation, there should be a significant body of unambiguous evidence that supports this functional claim. Before we can interpret the evidence, however, we must ask what it means for a biological system to process information. Although a concept of information is generally accepted in the neurosciences without critique, in other biological sciences applications of information, despite (...)
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  4. Evidence for Information Processing in the Brain.Marc Burock - 2010
    Many cognitive scientists, neuroscientists, and philosophers of science consider it uncontroversial that the brain processes information. In this work we broadly consider the types of experimental evidence that would support this claim, and find that although physical features of specific brain areas selectively covary with external stimuli or abilities, there is no direct evidence supporting an information processing function of any particular brain area.
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  5. The Parts of an Imperfect Agent.Sara Aronowitz - forthcoming - Oxford Studies in Philosophy of Mind.
    Formal representations drawn from rational choice theory have been used in a variety of ways to fruitfully model the way in which actual agents are approximately rational. This analysis requires bridging between ideal normative theory, in which the mechanisms, representations, and other such internal parts are in an important sense interchangeable, and descriptive psychological theory, in which understanding the internal workings of the agent is often the main goal of the entire inquiry. In this paper, I raise a problem brought (...)
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  6. Mental Representation, "Standing-In-For", and Internal Models.Rosa Cao & Jared Warren - forthcoming - Philosophical Psychology.
    Talk of ”mental representations” is ubiquitous in the philosophy of mind, psychology, and cognitive science. A slogan common to many different approaches says that representations ”stand in for” the things they represent. This slogan also attaches to most talk of "internal models" in cognitive science. We argue that this slogan is either false or uninformative. We then offer a new slogan that aims to do better. The new slogan ties the role of representations to the cognitive role played by the (...)
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  7. The informational profile of valence: The metasemantic argument for imperativism.Manolo Martínez & Luca Barlassina - forthcoming - British Journal for the Philosophy of Science.
    Some mental states have valence—they are pleasant or unpleasant. According to imperativism, valence depends on imperative content, while evaluativism tells us that it depends on evaluative content. We argue that if one considers valence’s informational profile, it becomes evident that imperativism is superior to evaluativism. More precisely, we show that if one applies the best available metasemantics to the role played by (un)pleasant mental states in our cognitive economy, then these states turn out to have imperative rather than evaluative content, (...)
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  8. Memory Systems and the Mnemic Character of Procedural Memory.Jonathan Najenson - forthcoming - British Journal for the Philosophy of Science.
    According to a standard view in psychology and neuroscience, there are multiple memory systems in the brain. Philosophers and scientists of memory rely on the idea that there are multiple memory systems in the brain to infer that procedural memory is not a cognitive form of memory. As a result, memory is considered to be a disunified capacity. In this paper, I evaluate two criteria used by Michaelian to demarcate between cognitive and non-cognitive memory systems: appeal to stored content and (...)
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  9. Restricted Auditory Aspatialism.Douglas Wadle - forthcoming - British Journal for the Philosophy of Science.
    Some philosophers have argued that we do not hear sounds as located in the environment. Others have objected that this straightforwardly contradicts the phenomenology of auditory experience. And from this they draw metaphysical conclusions about the nature of sounds—that they are events or properties of vibrating surfaces rather than waves or sensations. I argue that there is a minimal, but recognizable, notion of audition to which this phenomenal objection does not apply. While this notion doesn’t correspond to our ordinary notion (...)
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  10. ULTA-AI.Ilexa Yardley - 2024 - Https://Medium.Com/the-Circular-Theory/.
    Beyond current existential technology: intelligent anarchy and the cogent explanation for, what humans identify as, ‘representation.’ And, therefore, materialization and identification (interpretation, intention, attention).
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  11. The Formats of Cognitive Representation: A Computational Account.Dimitri Coelho Mollo & Alfredo Vernazzani - 2023 - Philosophy of Science.
    Cognitive representations are typically analysed in terms of content, vehicle and format. While current work on formats appeals to intuitions about external representations, such as words and maps, in this paper we develop a computational view of formats that does not rely on intuitions. In our view, formats are individuated by the computational profiles of vehicles, i.e., the set of constraints that fix the computational transformations vehicles can undergo. The resulting picture is strongly pluralistic, it makes space for a variety (...)
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  12. Neural Oscillations as Representations.Manolo Martínez & Marc Artiga - 2023 - British Journal for the Philosophy of Science 74 (3):619-648.
    We explore the contribution made by oscillatory, synchronous neural activity to representation in the brain. We closely examine six prominent examples of brain function in which neural oscillations play a central role, and identify two levels of involvement that these oscillations take in the emergence of representations: enabling (when oscillations help to establish a communication channel between sender and receiver, or are causally involved in triggering a representation) and properly representational (when oscillations are a constitutive part of the representation). We (...)
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  13. Facing Up to the Problem of Intentionality.Angela Mendelovici & David Bourget - 2023 - Philosophical Perspectives 37 (1):228-247.
    We distinguish between different problems of “aboutness”: the “hard” problem of explaining the everyday phenomenon of intentionality and three less challenging “easy” sets of problems concerning the posits of folk psychology, the notions of representation invoked in the mind‐brain sciences, and the intensionality (with an “s”) of mental language. The problem of intentionality is especially hard in that, as is the case with the hard problem of phenomenal consciousness, there is no clear path to a solution using current methods. We (...)
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  14. Forging Connections: Uniting Neuroscience and Philosophy of Science. [REVIEW]Marcin Miłkowski & Daniel Kostić - 2023 - Levenstein, Daniel, Et Al. Andquot;on the Role of Theory and Modeling in Neuroscience.".
    Levenstein et al. aptly highlight some of the foundational issues in theoretical neuroscience, such as the role of abstraction and idealization in providing scientific explanations and understanding, and distinguishing under which conditions neuroscientific models provide genuine explanations, or mere descriptions, predictions, or control. -/- The authors rightly emphasize that philosophers of science can also gain valuable insights from the vast body of neuroscience literature, by employing methods of digital humanities, such as text mining, in line with the cognitive metascience approach (...)
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  15. Populations of Neurons and Rocks? Against a Generalization of the Selected Effects Theory of Functions.Jakob Roloff - 2023 - Kriterion – Journal of Philosophy 37 (2-4):69-87.
    Millikan’s (1984. Language, Thought, and Other Biological Categories: New Foundations for Realism. MIT Press) selected effects theory of functions states that functions are effects for which the ancestors of a trait were selected for. As the function is an effect a thing’s ancestors produced, only things that are reproductions in some sense can have functions. Against this reproduction requirement, Garson (2019. What Biological Functions Are and Why They Matter. Cambridge University Press) argues that not only processes of differential reproduction but (...)
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  16. The Status of Video Games as Self-Involving Interactive Fictions: Fuzzy Intervals and Hard Identifications.Kristina Šekrst - 2023 - Sic: Journal of Literature, Culture and Literary Translation 3.
    The goal of this paper is to see how mental and language representations are unique from a video-game perspective, using two main criteria. First, I will posit that the level of being both an interactive work of fiction and a self-involving interactive fiction belongs to a fuzzy interval and that some works – and, therefore, some video games – are more immersive than others. Second, I will observe how propositions tie the player’s representations of the real world and the game (...)
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  17. Wanna binge-watch an 18-hour film? Twin Peaks and the psychology of the watching experience.Kristina Šekrst - 2023 - In A. Cichoń & Szymon Wróbel (eds.), Images between Series and Stream. Universitas. pp. 117-131.
    Did you ever wonder why you are sometimes too tired to watch a film, and would rather watch some TV show? And then, you might end up watching five or six hours and binge watch an entire season, and yet feel too tired to commit yourself to a single 2-hour film piece. The purpose of this paper is threefold. First, I will try to investigate whether there are any ontological differences in the form of a film or a television show. (...)
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  18. Organized representations forming a computationally useful processing structure.Nicholas Shea - 2023 - Synthese 202 (6):1-20.
    Peter Godfrey-Smith recently introduced the idea of representational ‘organization’. When a collection of representations form an organized family, similar representational vehicles carry similar contents. For example, where neural firing rate represents numerosity (an analogue magnitude representation), similar firing rates represent similar numbers of items. Organization has been elided with structural representation, but the two are in fact distinct. An under-appreciated merit of representational organization is the way it facilitates computational processing. Representations from different organized families can interact, for example to (...)
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  19. Muscles or Movements? Representation in the Nascent Brain Sciences.Zina B. Ward - 2023 - Journal of the History of Biology 56 (1):5-34.
    The idea that the brain is a representational organ has roots in the nineteenth century, when neurologists began drawing conclusions about what the brain represents from clinical and experimental studies. One of the earliest controversies surrounding representation in the brain was the “muscles versus movements” debate, which concerned whether the motor cortex represents complex movements or rather fractional components of movement. Prominent thinkers weighed in on each side: neurologists John Hughlings Jackson and F.M.R. Walshe in favor of complex movements, neurophysiologist (...)
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  20. Solstice-Equinox.Ilexa Yardley - 2023 - Https://Medium.Com/the-Circular-Theory/.
    The explanation for everything in Nature, everything in human history, future, and-or, past, is the conservation of a circle, proven by, the circular-linear relationship between, the solstice and the equinox.
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  21. Mechanistic inquiry and scientific pursuit: The case of visual processing.Philipp Haueis & Lena Kästner - 2022 - Studies in History and Philosophy of Science Part A 93 (C):123-135.
    Why is it rational for scientists to pursue multiple models of a phenomenon at the same time? The literatures on mechanistic inquiry and scientific pursuit each develop answers to a version of this question which is rarely discussed by the other. The mechanistic literature suggests that scientists pursue different complementary models because each model provides detailed insights into different aspects of the phenomenon under investigation. The pursuit literature suggests that scientists pursue competing models because alternative models promise to solve outstanding (...)
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  22. Against neuroclassicism: On the perils of armchair neuroscience.Alex Morgan - 2022 - Mind and Language 37 (3):329-355.
    Neuroclassicism is the view that cognition is explained by “classical” computing mechanisms in the nervous system that exhibit a clear demarcation between processing machinery and read–write memory. The psychologist C. R. Gallistel has mounted a sophisticated defense of neuroclassicism by drawing from ethology and computability theory to argue that animal brains necessarily contain read–write memory mechanisms. This argument threatens to undermine the “connectionist” orthodoxy in contemporary neuroscience, which does not seem to recognize any such mechanisms. In this paper I argue (...)
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  23. Having the Foggiest Idea: A Gradual Account on Mental Images.Kristina Šekrst - 2022 - Journal of Neurophilosophy 1 (2):203-211.
    First described by Galton in 1880 and then remaining unnoticed for a century, recent investigations in neuroscience have shown that a condition called aphantasia appears in certain individuals, which causes them to be unable to experience visual mental imagery. Comparing aphantasia to hyperphantasia – i.e., photo-like memory – and considering the neurological basis of perceptual phenomena, we are revisiting Hume's division of perceptions into impressions and ideas. By showing different vivacities of mental phenomena and comparing them to neurological research, we (...)
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  24. Circularity.Ilexa Yardley - 2022 - Https://Medium.Com/the-Circular-Theory/.
  25. Multi-Channel Mathematics.Ilexa Yardley - 2022 - Https://Medium.Com/the-Circular-Theory.
  26. What Blindsight Means for the Neural Correlates of Consciousness.Michael Barkasi - 2021 - Journal of Consciousness Studies 28 (11-12):7-30.
    Do perceptual experiences always inherit the content of their neural correlates? Most scientists and philosophers working on perception say ‘yes’. They hold the view that an experience’s content just is (i.e. is identical to) the content of its neural correlate. This paper presses back against this view, while trying to retain as much of its spirit as possible. The paper argues that type-2 blindsight experiences are plausible cases of experiences which lack the content of their neural correlates. They are not (...)
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  27. Representation Wars: Enacting an Armistice Through Active Inference.Axel Constant, Andy Clark & Karl J. Friston - 2021 - Frontiers in Psychology 11.
    Over the last 30 years, representationalist and dynamicist positions in the philosophy of cognitive science have argued over whether neurocognitive processes should be viewed as representational or not. Major scientific and technological developments over the years have furnished both parties with ever more sophisticated conceptual weaponry. In recent years, an enactive generalization of predictive processing – known as active inference – has been proposed as a unifying theory of brain functions. Since then, active inference has fueled both representationalist and dynamicist (...)
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  28. Structural representations do not meet the job description challenge.Marco Facchin - 2021 - Synthese 199 (3-4):5479-5508.
    Structural representations are increasingly popular in philosophy of cognitive science. A key virtue they seemingly boast is that of meeting Ramsey's job description challenge. For this reason, structural representations appear tailored to play a clear representational role within cognitive architectures. Here, however, I claim that structural representations do not meet the job description challenge. This is because even our most demanding account of their functional profile is satisfied by at least some receptors, which paradigmatically fail the job description challenge. Hence, (...)
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  29. Are Generative Models Structural Representations?Marco Facchin - 2021 - Minds and Machines 31 (2):277-303.
    Philosophers interested in the theoretical consequences of predictive processing often assume that predictive processing is an inferentialist and representationalist theory of cognition. More specifically, they assume that predictive processing revolves around approximated Bayesian inferences drawn by inverting a generative model. Generative models, in turn, are said to be structural representations: representational vehicles that represent their targets by being structurally similar to them. Here, I challenge this assumption, claiming that, at present, it lacks an adequate justification. I examine the only argument (...)
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  30. Predictive processing and anti-representationalism.Marco Facchin - 2021 - Synthese 199 (3-4):11609-11642.
    Many philosophers claim that the neurocomputational framework of predictive processing entails a globally inferentialist and representationalist view of cognition. Here, I contend that this is not correct. I argue that, given the theoretical commitments these philosophers endorse, no structure within predictive processing systems can be rightfully identified as a representational vehicle. To do so, I first examine some of the theoretical commitments these philosophers share, and show that these commitments provide a set of necessary conditions the satisfaction of which allows (...)
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  31. Virtual reality for neurorehabilitation and cognitive enhancement.Danko D. Georgiev, Iva Georgieva, Zhengya Gong, Vijayakumar Nanjappan & Georgi V. Georgiev - 2021 - Brain Sciences 11 (2):221.
    Our access to computer-generated worlds changes the way we feel, how we think, and how we solve problems. In this review, we explore the utility of different types of virtual reality, immersive or non-immersive, for providing controllable, safe environments that enable individual training, neurorehabilitation, or even replacement of lost functions. The neurobiological effects of virtual reality on neuronal plasticity have been shown to result in increased cortical gray matter volumes, higher concentration of electroencephalographic beta-waves, and enhanced cognitive performance. Clinical application (...)
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  32. Evolving Concepts of 'Hierarchy' in Systems Neuroscience.Philipp Haueis & Daniel Burnston - 2021 - In Fabrizio Calzavarini & Marco Viola (eds.), Neural Mechanisms: New Challenges in the Philosophy of Neuroscience.
    The notion of “hierarchy” is one of the most commonly posited organizational principles in systems neuroscience. To this date, however, it has received little philosophical analysis. This is unfortunate, because the general concept of hierarchy ranges over two approaches with distinct empirical commitments, and whose conceptual relations remain unclear. We call the first approach the “representational hierarchy” view, which posits that an anatomical hierarchy of feed-forward, feed-back, and lateral connections underlies a signal processing hierarchy of input-output relations. Because the representational (...)
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  33. What have we learned about the engram?Jonathan Najenson - 2021 - Synthese 199 (3-4):9581-9601.
    The discovery of the engram, the physical substrate of memory, is a central challenge for the sciences of memory. Following the application of optogenetics to the neurobiological study of memory, scientists and philosophers claim that the engram has been found. In this paper, I evaluate the implications of applying optogenetic tools to the localization of the engram. I argue that conceptions of engram localization need to be revised to be made consistent with optogenetic studies of the engram. I distinguish between (...)
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  34. Abstraction: How to Understand It.Ilexa Yardley - 2021 - Https://Medium.Com/the-Circular-Theory/.
  35. The Tokenization of 'Reality'.Ilexa Yardley - 2021 - Https://Medium.Com/the-Circular-Theory.
    How do ‘virtual intelligence’ and ‘artificial reality’ intersect. Think: Foucault, Deleuze, Nietzsche. And, NFT.
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  36. Foucault, Deleuze, and Nietzsche.Ilexa Yardley - 2021 - Https://Medium.Com/the-Circular-Theory/.
    The power of representation and the representation of power, and, the exploding NFT market. Euclid's error and the mathematics behind representation, identification, and interpretation.
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  37. Universal Tokenization.Ilexa Yardley - 2021 - Https://Medium.Com/the-Circular-Theory/.
  38. Why Crypto-Everything is Here to Stay.Ilexa Yardley - 2021 - Https://Medium.Com/the-Circular-Theory/.
  39. Mind: Not (in) the Brain.Ilexa Yardley - 2021 - Https://Medium.Com/the-Circular-Theory/.
    X and X articulate, and, therefore, conserve, an uber-simple, circle. Providing the background (and the foreground) for everything (Nature) (reality).
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  40. What Modern Physicists are 'Discovering'.Ilexa Yardley - 2021 - Https://Medium.Com/the-Circular-Theory/.
  41. Referential Reality.Ilexa Yardley - 2021 - Https://Medium.Com/the-Circular-Theory.
  42. New Labels for Old Ideas: Predictive Processing and the Interpretation of Neural Signals.Rosa Cao - 2020 - Review of Philosophy and Psychology 11 (3):517-546.
    Philosophical proponents of predictive processing cast the novelty of predictive models of perception in terms of differences in the functional role and information content of neural signals. However, they fail to provide constraints on how the crucial semantic mapping from signals to their informational contents is determined. Beyond a novel interpretative gloss on neural signals, they have little new to say about the causal structure of the system, or even what statistical information is carried by the signals. That means that (...)
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  43. The dynamical renaissance in neuroscience.Luis H. Favela - 2020 - Synthese 1 (1):1-25.
    Although there is a substantial philosophical literature on dynamical systems theory in the cognitive sciences, the same is not the case for neuroscience. This paper attempts to motivate increased discussion via a set of overlapping issues. The first aim is primarily historical and is to demonstrate that dynamical systems theory is currently experiencing a renaissance in neuroscience. Although dynamical concepts and methods are becoming increasingly popular in contemporary neuroscience, the general approach should not be viewed as something entirely new to (...)
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  44. Probabilistic representations in perception: Are there any, and what would they be?Steven Gross - 2020 - Mind and Language 35 (3):377-389.
    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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  45. Numerals and neural reuse.Max Jones - 2020 - Synthese 197 (9):3657-3681.
    Menary OpenMIND, MIND Group, Frankfurt am Main, 2015) has argued that the development of our capacities for mathematical cognition can be explained in terms of enculturation. Our ancient systems for perceptually estimating numerical quantities are augmented and transformed by interacting with a culturally-enriched environment that provides scaffolds for the acquisition of cognitive practices, leading to the development of a discrete number system for representing number precisely. Numerals and the practices associated with numeral systems play a significant role in this process. (...)
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  46. Unifying the essential concepts of biological networks: biological insights and philosophical foundations.Daniel Kostic, Claus Hilgetag & Marc Tittgemeyer - 2020 - Philosophical Transactions of the Royal Society B: Biological Sciences 375 (1796):1-8.
    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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  47. INFERENCE AND REPRESENTATION: PHILOSOPHICAL AND COGNITIVE ISSUES.Igor Mikhailov - 2020 - Vestnik Tomskogo Gosudarstvennogo Universiteta. Filosofiya, Sotsiologiya, Politologiya 1 (58):34-46.
    The paper is dedicated to particular cases of interaction and mutual impact of philosophy and cognitive science. Thus, philosophical preconditions in the middle of the 20th century shaped the newly born cognitive science as mainly based on conceptual and propositional representations and syntactical inference. Further developments towards neural networks and statistical representations did not change the prejudice much: many still believe that network models must be complemented with some extra tools that would account for proper human cognitive traits. I address (...)
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  48. 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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  49. A memória episódica, o problema da cotemporalidade, e o senso comum.César Schirmer Dos Santos - 2020 - In Giovanni Rolla & Gerson Albuquerque de Araújo Neto (eds.), Ciência e Conhecimento. Editora da Universidade Federal do Piauí. pp. 151-180.
    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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  50. What Are Mental Representations?Joulia Smortchkova, Krzysztof Dołrega & Tobias Schlicht (eds.) - 2020 - New York, NY, United States of America: Oxford University Press.
    Mental representation is one of core theoretical constructs within cognitive science and, together with the introduction of the computer as a model for the mind, is responsible for enabling the ‘cognitive turn’ in psychology and associated fields. Conceiving of cognitive processes, such as perception, motor control, and reasoning, as processes that consist in the manipulation of contentful vehicles representing the world has allowed us to refine our explanations of behavior and has led to tremendous empirical advancements. Despite the central role (...)
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1 — 50 / 266