Search results for 'Learning physiology' (try it on Scholar)

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  1. Robyn Barnacle (2009). Gut Instinct: The Body and Learning. Educational Philosophy and Theory 41 (1):22-33.score: 102.0
    In the current socio-political climate pedagogies consistent with rationalism are in the ascendancy. One way to challenge the purchase of rationalism within educational discourse and practice is through the body, or by re-thinking the nature of mind-body relations. While the orientation of this paper is ultimately phenomenological, it takes as its point of departure recent feminist scholarship, which is demonstrating that attending to physiology can provide insight into the complexity of mind-body relations. Elizabeth Wilson's account of the role of (...)
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  2. David J. Stevens, Joanne Arciuli & David I. Anderson (2014). Concurrent Movement Impairs Incidental But Not Intentional Statistical Learning. Cognitive Science 38 (8).score: 102.0
    The effect of concurrent movement on incidental versus intentional statistical learning was examined in two experiments. In Experiment 1, participants learned the statistical regularities embedded within familiarization stimuli implicitly, whereas in Experiment 2 they were made aware of the embedded regularities and were instructed explicitly to learn these regularities. Experiment 1 demonstrated that while the control group were able to learn the statistical regularities, the resistance-free cycling group and the exercise group did not demonstrate learning. This is in (...)
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  3. Silvia A. Bunge & Jonathan D. Wallis (eds.) (2008). Neuroscience of Rule-Guided Behavior. Oxford University Press.score: 60.0
    euroscience of Rule-Guided Behavior brings together, for the first time, the experiments and theories that have created the new science of rules. Rules are central to human behavior, but until now the field of neuroscience lacked a synthetic approach to understanding them. How are rules learned, retrieved from memory, maintained in consciousness and implemented? How are they used to solve problems and select among actions and activities? How are the various levels of rules represented in the brain, ranging from simple (...)
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  4. Mario von Cranach (1976). Methods Of Inference From Animal To Human Behaviour. The Hague: Mouton.score: 60.0
     
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  5. Alan M. Turing (1950). Computing Machinery and Intelligence. Mind 59 (October):433-60.score: 48.0
    I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...)
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  6. George M. Wyburn, Ralph W. Pickford & R. J. Hirst (1964). Human Senses And Perception. University Of Toronto Press,.score: 48.0
  7. Abraham I. Melden (1961). Free Action. Routledge.score: 48.0
  8. Philip S. Wong, Edward Bernat, Michael Snodgrass & Howard Shevrin (2004). Event-Related Brain Correlates of Associative Learning Without Awareness. International Journal of Psychophysiology 53 (3):217-231.score: 44.0
  9. Alfredo Pereira Jr, Maria AliceOrnellas Pereira & FábioAugusto Furlan (2011). Recent Advances in Brain Physiology and Cognitive Processing. Mens Sana Monographs 9 (1):183.score: 42.0
    The discovery of participation of astrocytes as active elements in glutamatergic tripartite synapses (composed by functional units of two neurons and one astrocyte) has led to the construction of models of cognitive functioning in the human brain, focusing on associative learning, sensory integration, conscious processing and memory formation/retrieval. We have modelled human cognitive functions by means of an ensemble of functional units (tripartite synapses) connected by gap junctions that link distributed astrocytes, allowing the formation of intra- and intercellular calcium (...)
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  10. Réjean Plamondon, Christian O'Reilly, Céline Rémi & Thérésa Duval (2013). The Lognormal Handwriter: Learning, Performing and Declining. Frontiers in Psychology 4:945.score: 38.0
    The generation of handwriting is a complex neuromotor skill requiring the interaction of many cognitive processes. It aims at producing a message to be imprinted as an ink trace left on a writing medium. The generated trajectory of the pen tip is made up of strokes superimposed over time. The Kinematic Theory of rapid human movements and its family of lognormal models provide analytical representations of these strokes, often considered as the basic unit of handwriting. This paradigm has not only (...)
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  11. W. Robert Batsell & Aaron G. Blankenship (2002). Beyond Potentiation: Synergistic Conditioning in Flavor-Aversion Learning. [REVIEW] Brain and Mind 3 (3):383-408.score: 38.0
    Taste-aversion learning has been a popular paradigm for examining associative processes because it often produces outcomes that are different from those observed in other classical conditioning paradigms. One such outcome is taste-mediated odor potentiation in which aversion conditioning with a weak odor and a strong taste results in increased or synergistic conditioning to the odor. Because this strengthened odor aversion was not anticipated by formal models of learning, investigation of taste-mediated odor potentiation was a hot (...)
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  12. Batsell Jr & Aaron G. Blankenship (2002). Beyond Potentiation: Synergistic Conditioning in Flavor-Aversion Learning. [REVIEW] Brain and Mind 3 (3):383-408.score: 38.0
    Taste-aversion learning has been a popular paradigm for examining associative processes because it often produces outcomes that are different from those observed in other classical conditioning paradigms. One such outcome is taste-mediated odor potentiation in which aversion conditioning with a weak odor and a strong taste results in increased or synergistic conditioning to the odor. Because this strengthened odor aversion was not anticipated by formal models of learning, investigation of taste-mediated odor potentiation was a hot topic in the (...)
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  13. W. Robert Batsell Jr & Aaron G. Blankenship (2002). Beyond Potentiation: Synergistic Conditioning in Flavor-Aversion Learning. [REVIEW] Brain and Mind 3 (3):383-408.score: 38.0
    Taste-aversion learning has been a popular paradigm for examining associative processes because it often produces outcomes that are different from those observed in other classical conditioning paradigms. One such outcome is taste-mediated odor potentiation in which aversion conditioning with a weak odor and a strong taste results in increased or synergistic conditioning to the odor. Because this strengthened odor aversion was not anticipated by formal models of learning, investigation of taste-mediated odor potentiation was a hot topic in the (...)
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  14. Antti Revonsuo (2000). The Reinterpretation of Dreams: An Evolutionary Hypothesis of the Function of Dreaming. Behavioral and Brain Sciences 23 (6):877-901.score: 36.0
    Several theories claim that dreaming is a random by-product of REM sleep physiology and that it does not serve any natural function. Phenomenal dream content, however, is not as disorganized as such views imply. The form and content of dreams is not random but organized and selective: during dreaming, the brain constructs a complex model of the world in which certain types of elements, when compared to waking life, are underrepresented whereas others are over represented. Furthermore, dream content is (...)
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  15. Wolf Singer (1993). Synchronization of Cortical Activity and its Putative Role in Information Processing and Learning. Annual Review of Physiology 55:349-74.score: 36.0
  16. Dara Llewellyn & Craig Pearson (eds.) (2011). Consciousness-Based Education: A Foundation for Teaching and Learning in the Academic Disciplines. Consciousness-Based Books, an Imprint of Maharishi University of Management Press.score: 36.0
    Consciousness-based education and Maharishi Vedic science -- Consciousness-based education and education -- Consciousness-based education and physiology and health -- Consciousness-based education and physics -- Consciousness-based education and mathematics -- Consciousness-based education and literature -- Consciousness-based education and art -- Consciousness-based education and management -- Consciousness-based education and government -- Consciousness-based education and computer science -- Consciousness-based education and sustainability -- Consciousness-based education and world peace.
     
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  17. Gordon Fernie & Richard J. Tunney (2013). Learning on the IGT Follows Emergence of Knowledge but Not Differential Somatic Activity. Frontiers in Psychology 4.score: 30.0
    The importance of unconscious autonomic activity versus knowledge in influencing behaviour on the Iowa Gambling Task (IGT) has been the subject of debate. The tasks developers, Bechara and colleagues, have claimed that behaviour on the IGT is influenced by somatic activity and that this activity precedes the emergence of knowledge about the task contingencies sufficient to guide behaviour. Since then other have claimed that this knowledge emerges much earlier on the task. However, it has yet to be established whether somatic (...)
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  18. J. Furedy, B. Damke & W. Boucsein (2000). Revisiting the Learning-Without-Awareness Question in Human Pavlovian Autonomic Conditioning: Focus on Extinction in a Dichotic Listening Paradigm. Integrative Physiological and Behavioral Science 35 (1):17-34.score: 30.0
     
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  19. Stephen Downes (2010). Learning Networks and Connective Knowledge. In Harrison Hao Yang & Steve Chi-Yin Yuen (eds.), Collective Intelligence and E-Learning 2.0: Implications of Web-Based Communities and Networking. IGI Global.score: 27.0
    The purpose of this chapter is to outline some of the thinking behind new e-learning technology, including e-portfolios and personal learning environments. Part of this thinking is centered around the theory of connectivism, which asserts that knowledge - and therefore the learning of knowledge - is distributive, that is, not located in any given place (and therefore not 'transferred' or 'transacted' per se) but rather consists of the network of connections formed from experience and interactions with a (...)
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  20. Arthur S. Reber (1993). Implicit Learning and Tacit Knowledge: An Essay on the Cognitive Unconscious. Oxford University Press.score: 24.0
    In this new volume in the Oxford Psychology Series, the author presents a highly readable account of the cognitive unconscious, focusing in particular on the problem of implicit learning. Implicit learning is defined as the acquisition of knowledge that takes place independently of the conscious attempts to learn and largely in the absence of explicit knowledge about what was acquired. One of the core assumptions of this argument is that implicit learning is a fundamental, "root" process, one (...)
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  21. Christopher Winch (1998). The Philosophy of Human Learning. Routledge.score: 24.0
    Christopher Winch launches a vigorous Wittgensteinian attack on both the "romantic" Rousseauian and the "scientific" cognitivist traditions in learning theory. These two schools, he argues, are more closely related than is commonly realized.
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  22. Gregory M. Nixon (2013). Scientism, Philosophy and Brain-Based Learning. Northwest Journal of Teacher Education 11 (2):113-144.score: 24.0
    [This is an edited and improved version of "You Are Not Your Brain: Against 'Teaching to the Brain'" previously published in *Review of Higher Education and Self-Learning* 5(15), Summer 2012.] Since educators are always looking for ways to improve their practice, and since empirical science is now accepted in our worldview as the final arbiter of truth, it is no surprise they have been lured toward cognitive neuroscience in hopes that discovering how the brain learns will provide a nutshell (...)
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  23. Knud Illeris (ed.) (2009). Contemporary Theories of Learning: Learning Theorists -- In Their Own Words. Routledge.score: 24.0
    In this definitive collection of today's most influential learning theorists, sixteen world-renowned experts present their understanding of what learning is and ...
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  24. David R. Shanks & M. F. St John (1994). Characteristics of Dissociable Human Learning Systems. Behavioral and Brain Sciences 17 (3):367-447.score: 24.0
    A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, (1) between learning that takes place with versus without concurrent awareness, and (2) between learning that involves the encoding of instances (or fragments) versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We (...)
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  25. Richard Edwards, Gert Biesta & Mary Thorpe (eds.) (2009). Rethinking Contexts for Learning and Teaching. Routledge.score: 24.0
    It specifically addressesWhat constitutes a context for learning?How do we engage the full resources of learners for learning?What are the relationships between ...
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  26. Michael Cholbi (2007). Intentional Learning as a Model for Philosophical Pedagogy. Teaching Philosophy 30 (1):35-58.score: 24.0
    The achievement of intentional learning is a powerful paradigm for the objectives and methods of the teaching of philosophy. This paradigm sees the objectives and methods of such teaching as based not simply on the mastery of content, but as rooted in attempts to shape the various affective and cognitive factors that influence students’ learning efforts. The goal of such pedagogy is to foster an intentional learning orientation, one characterized by self-awareness, active monitoring of the learning (...)
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  27. Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor, Report on the Network for Sensory Research/University of York Perceptual Learning Workshop.score: 24.0
    This report highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York on March 19th and 20th, 2012: 1. What is perceptual learning? 2. Can perceptual experience be modified by reason? 3. How does perceptual learning alter perceptual phenomenology? 4. How does perceptual learning alter the contents of perception? 5. How is perceptual learning coordinated with action?
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  28. Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor, Perceptual Learning and Cognitive Penetration (Network for Sensory Research/University of York Perceptual Learning Workshop, Question Two).score: 24.0
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: Can perceptual experience be modified by reason?
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  29. Kevin Connolly, John Donaldson, David M. Gray, Emily McWilliams, Sofia Ortiz-Hinojosa & David Suarez, Cognitive Penetration? (Network for Sensory Research Toronto Workshop on Perceptual Learning: Question Four).score: 24.0
    This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: What counts as cognitive penetration?
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  30. Christopher D. Viger (2005). Learning to Think: A Response to the Language of Thought Argument for Innateness. Mind and Language 20 (3):313-25.score: 24.0
    Jerry Fodor's argument for an innate language of thought continues to be a hurdle for researchers arguing that natural languages provide us with richer conceptual systems than our innate cognitive resources. I argue that because the logical/formal terms of natural languages are given a usetheory of meaning, unlike predicates, logical/formal terms might be learned without a mediating internal representation. In that case, our innate representational system might have less logical structure than a natural language, making it possible that we augment (...)
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  31. B. van Oers (ed.) (2008). The Transformation of Learning: Advances in Cultural-Historical Activity Theory. Cambridge University Press.score: 24.0
    Learning is a changing phenomenon, depending on the advances in theory and research. This book presents a relatively new approach to learning, based on meaningful human activities in cultural practices and in collaboration with others. It draws extensively from the ideas of Lev Vygotsky and his recent followers. The book presents ideas that elaborate this learning theory and also gives recent developments and applications of this approach in a variety of educational situations in and outside of school. (...)
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  32. Kevin Connolly (2014). Perceptual Learning and the Contents of Perception. Erkenntnis 79 (6):1407-1418.score: 24.0
    Suppose you have recently gained a disposition for recognizing a high-level kind property, like the property of being a wren. Wrens might look different to you now. According to the Phenomenal Contrast Argument, such cases of perceptual learning show that the contents of perception can include high-level kind properties such as the property of being a wren. I detail an alternative explanation for the different look of the wren: a shift in one’s attentional pattern onto other low-level properties. Philosophers (...)
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  33. Kevin Connolly, John Donaldson, David M. Gray, Emily McWilliams, Sofia Ortiz-Hinojosa & David Suarez, Report on the Network for Sensory Research Toronto Workshop on Perceptual Learning.score: 24.0
    This report highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012: 1. How should we demarcate perceptual learning from perceptual development? 2. What are the origins of multimodal associations? 3. Does our representation of time provide an amodal framework for multi-sensory integration? 4. What counts as cognitive penetration? 5. How can philosophers and psychologists most fruitfully collaborate?
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  34. Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor, Perceptual Learning (Network for Sensory Research/University of York Perceptual Learning Workshop, Question One).score: 24.0
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: What is perceptual learning?
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  35. Kenneth Reisman (2007). Is Culture Inherited Through Social Learning? Biological Theory 2 (3):300-306.score: 24.0
    In this article I challenge the widely held assumption that human culture is inherited by means of social learning. First, I address the distinction between “social” learning and “individual” learning. I argue that most cultural ideas are not acquired by one form of learning or the other, but from a hybrid of both. Second, I discuss how individual learning can interact with niche construction. I argue that these processes collectively provide a non-social route for learned (...)
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  36. Kevin Connolly (forthcoming). Sensory Substitution and Perceptual Learning. In Fiona Macpherson (ed.), Sensory Substitution and Augmentation. Oxford University Press.score: 24.0
    When a user integrates a sensory substitution device into her life, the process involves perceptual learning, that is, ‘relatively long-lasting changes to an organism’s perceptual system that improve its ability to respond to its environment’ (Goldstone 1998: 585). In this paper, I explore ways in which the extensive literature on perceptual learning can be applied to help improve sensory substitution devices. I then use these findings to answer a philosophical question. Much of the philosophical debate surrounding sensory substitution (...)
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  37. Rachael L. Brown (2013). Learning, Evolvability and Exploratory Behaviour: Extending the Evolutionary Reach of Learning. Biology and Philosophy 28 (6):933-955.score: 24.0
    Traditional accounts of the role of learning in evolution have concentrated upon its capacity as a source of fitness to individuals. In this paper I use a case study from invasive species biology—the role of conditioned taste aversion in mitigating the impact of cane toads on the native species of Northern Australia—to highlight a role for learning beyond this—as a source of evolvability to populations. This has two benefits. First, it highlights an otherwise under-appreciated role for learning (...)
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  38. Susan Leigh Anderson (2003). Teaching Today's Students How to Examine Ethical Issues and Be More Actively Involved in the Learning Process. Journal of Academic Ethics 1 (2):189-198.score: 24.0
    In response to the difficulty of teaching an increasingly large number of students who are ill prepared for the sort of abstract thinking and well-structured essay writing that are essential to the field of Philosophy, I have discovered a five-step method for teaching students in my Philosophy and Social Ethics course how to examine any ethical issue and write well-structured essays discussing the issue. Just as important, students are now required to take more responsibility for the learning process which, (...)
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  39. Nicholas Maxwell (2003). Two Great Problems of Learning. Teaching in Higher Education, 8 (January):129-134.score: 24.0
    Two great problems of learning confront humanity: learning about the universe, and learning how to live wisely. The first problem was solved with the creation of modern science, but the second problem has not been solved. This combination puts humanity into a situation of unprecedented danger. In order to solve the second problem we need to learn from our solution to the first problem. This requires that we bring about a revolution in the overall aims and methods (...)
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  40. Daniel Steel (2009). Testability and Ockham's Razor: How Formal and Statistical Learning Theory Converge in the New Riddle of Induction. [REVIEW] Journal of Philosophical Logic 38 (5):471 - 489.score: 24.0
    Nelson Goodman’s new riddle of induction forcefully illustrates a challenge that must be confronted by any adequate theory of inductive inference: provide some basis for choosing among alternative hypotheses that fit past data but make divergent predictions. One response to this challenge is to distinguish among alternatives by means of some epistemically significant characteristic beyond fit with the data. Statistical learning theory takes this approach by showing how a concept similar to Popper’s notion of degrees of testability is linked (...)
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  41. Dominic Scott (1995). Recollection and Experience: Plato's Theory of Learning and its Successors. Cambridge University Press.score: 24.0
    Questions about learning and discovery have fascinated philosophers from Plato onwards. Does the mind bring innate resources of its own to the process of learning or does it rely wholly upon experience? Plato was the first philosopher to give an innatist response to this question and in doing so was to provoke the other major philosophers of ancient Greece to give their own rival explanations of learning. This book is the first to examine these theories of (...) in relation to each other. It presents an entirely new interpretation of the theory of recollection which also changes the way we understand the development of ancient philosophy after Plato. The final section of the book compares ancient theories of learning with the seventeenth-century debate about innate ideas, and finds that the relation between the two periods is far more interesting and complete than is usually supposed. (shrink)
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  42. Kevin Connolly, John Donaldson, David M. Gray, Emily McWilliams, Sofia Ortiz-Hinojosa & David Suarez, Philosophy/Psychology Collaboration (Network for Sensory Research Toronto Workshop on Perceptual Learning: Question Five).score: 24.0
    This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: How can philosophers and psychologists most fruitfully collaborate?
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  43. Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor, Perceptual Learning and Perceptual Phenomenology (Network for Sensory Research/University of York Perceptual Learning Workshop, Question Three).score: 24.0
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: How does perceptual learning alter perceptual phenomenology?
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  44. Ariel S. Cecchi (2014). Cognitive Penetration, Perceptual Learning and Neural Plasticity. Dialectica 68 (1):63-95.score: 24.0
    Cognitive penetration of perception, broadly understood, is the influence that the cognitive system has on a perceptual system (e.g., visual, auditory, haptic). The paper shows a form of cognitive penetration in the visual system (defined as early vision) which I call ‘architectural’. Architectural cognitive penetration is the process whereby the behaviour or the structure of the perceptual system is influenced by the cognitive system, which consequently may have an impact on the content of the perceptual experience. I scrutinize a study (...)
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  45. Gloria Dall'Alba (2009). Learning Professional Ways of Being: Ambiguities of Becoming. Educational Philosophy and Theory 41 (1):34-45.score: 24.0
    The purpose of professional education programs is to prepare aspiring professionals for the challenges of practice within a particular profession. These programs typically seek to ensure the acquisition of necessary knowledge and skills, as well as providing opportunities for their application. While not denying the importance of knowledge and skills, this paper reconfigures professional education as a process of becoming. Learning to become a professional involves not only what we know and can do, but also who we are (becoming). (...)
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  46. Peter Rule (2011). Bakhtin and Freire: Dialogue, Dialectic and Boundary Learning. Educational Philosophy and Theory 43 (9):924-942.score: 24.0
    Dialogue is a seminal concept within the work of the Brazilian adult education theorist, Paulo Freire, and the Russian literary critic and philosopher, Mikhail Bakhtin. While there are commonalities in their understanding of dialogue, they differ in their treatment of dialectic. This paper addresses commonalities and dissonances within a Bakhtin-Freire dialogue on the notions of dialogue and dialectic. It then teases out some of the implications for education theory and practice in relation to two South African contexts of learning (...)
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  47. Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor, Perceptual Learning and Action (Network for Sensory Research/University of York Perceptual Learning Workshop, Question Five).score: 24.0
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: How is perceptual learning coordinated with action?
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  48. Kevin Connolly, Dylan Bianchi, Craig French, Lana Kuhle & Andy MacGregor, Perceptual Learning and Perceptual Content (Network for Sensory Research/University of York Perceptual Learning Workshop, Question Four).score: 24.0
    This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: How does perceptual learning alter the contents of perception?
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  49. Eugen Fischer (2001). Unfair to Physiology. Acta Analytica 16 (26):135-155.score: 24.0
    The paper seeks to refute the idea that physiology can explain at best an organism’s behaviour, outward and inner, but not the conscious experiences that accompany that behaviour. To do so, the paper clarifies the idea by confrontation with an actual example of psychophysical explanation of perceptual experience. This reveals that the idea relies on a prejudice about physiological practice. Then the paper explores some peculiar ways in which this prejudice may survive its refutation. This is to bring out (...)
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  50. Kevin Connolly, John Donaldson, David M. Gray, Emily McWilliams, Sofia Ortiz-Hinojosa & David Suarez, Multi-Sensory Integration and Time (Network for Sensory Research Toronto Workshop on Perceptual Learning: Question Three).score: 24.0
    This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: Does our representation of time provide and amodal framework for multi-sensory integration?
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