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146The link between brain learning, attention, and consciousnessConsciousness and Cognition 8 (1): 1-44. 1999.The processes whereby our brains continue to learn about a changing world in a stable fashion throughout life are proposed to lead to conscious experiences. These processes include the learning of top-down expectations, the matching of these expectations against bottom-up data, the focusing of attention upon the expected clusters of information, and the development of resonant states between bottom-up and top-down processes as they reach an attentive consensus between what is expected and what i…Read more
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8Realizing the Now-or-Never bottleneck and Chunk-and-Pass processing with Item-Order-Rank working memories and masking field chunking networksBehavioral and Brain Sciences 39. 2016.
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10Conscious mind, resonant brain: how each brain makes a mindOxford University Press. 2021.How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and self-contained description of some of the exciting answer…Read more
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143Spatial facilitation by color and luminance edges: boundary, surface, and attentional factorsVision Research 39 (20): 3431-3443. 1995.The thresholds of human observers detecting line targets improve significantly when the targets are presented in a spatial context of collinear inducing stimuli. This phenomenon is referred to as spatial facilitation, and may reflect the output of long-range interactions between cortical feature detectors. Spatial facilitation has thus far been observed with luminance-defined, achromatic stimuli on achromatic backgrounds. This study compares spatial facilitation with line targets and collinear, …Read more
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153Contour Integration Across Gaps: From Local Contrast To GroupingVision Research 7 (37): 913-924. 1997.This article introduces an experimental paradigm to selectively probe the multiple levels of visual processing that influence the formation of object contours, perceptual boundaries, and illusory contours. The experiments test the assumption that, to integrate contour information across space and contrast sign, a spatially short-range filtering process that is sensitive to contrast polarity inputs to a spatially long-range grouping process that pools signals from opposite contrast polarities. Th…Read more
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163Neural Computation of Surface Border Ownership and Relative Surface Depth from Ambiguous Contrast InputsFrontiers in Psychology 7. 2016.The segregation of image parts into foreground and background is an important aspect of the neural computation of 3D scene perception. To achieve such segregation, the brain needs information about border ownership; that is, the belongingness of a contour to a specific surface represented in the image. This article presents psychophysical data derived from 3D percepts of figure and ground that were generated by presenting 2D images composed of spatially disjoint shapes that pointed inward o…Read more
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50Adaptive timing, attention, and movement controlBehavioral and Brain Sciences 20 (4): 619-619. 1997.Examples of how LTP and LTD can control adaptively-timed learning that modulates attention and motor control are given. It is also suggested that LTP/LTD can play a role in storing memories. The distinction between match-based and mismatch-based learning may help to clarify the difference.
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39Neural models of development and learningBehavioral and Brain Sciences 20 (4): 566-566. 1997.I agree with Quartz & Sejnowski's points, which are familiar to many scientists. A number of models with the sought-after properties, however, are overlooked, while models without them are highlighted. I will review nonstationary learning, links between development and learning, locality, stability, learning throughout life, hypothesis testing that models the learner's problem domain, and active dendritic processes
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8Neural dynamics of planned arm movements: Emergent invariants and speed-accuracy properties during trajectory formationPsychological Review 95 (1): 49-90. 1988.
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49Unattended exposure to components of speech sounds yields same benefits as explicit auditory trainingCognition 115 (3): 435-443. 2010.
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20Cognitive self-organization and neural modularityBehavioral and Brain Sciences 8 (1): 18-19. 1985.
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68The complementary brain: From brain dynamics to conscious experiencesIn Christian Kaernbach, Erich Schroger & Hermann Müller (eds.), Psychophysics Beyond Sensation: Laws and Invariants of Human Cognition, Psychology Press. pp. 417-449. 2004.
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17Realistic constraints on brain color perception and category learningBehavioral and Brain Sciences 28 (4): 495-496. 2005.Steels & Belpaeme (S&B) ask how autonomous agents can derive perceptually grounded categories for successful communication, using color categorization as an example. Their comparison of nativism, empiricism, and culturalism, although interesting, does not include key biological and technological constraints for seeing color or learning color categories in realistic environments. Other neural models have successfully included these constraints.
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How do representations of visual form organize our percepts of visual motion?In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, Erlbaum. pp. 16--330. 1994.
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8Neural dynamics of autistic behaviors: Cognitive, emotional, and timing substratesPsychological Review 113 (3): 483-525. 2006.
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38Linking brain to mind in normal behavior and schizophreniaBehavioral and Brain Sciences 26 (1): 90-90. 2003.To understand schizophrenia, a linking hypothesis is needed that shows how brain mechanisms lead to behavioral functions in normals, and also how breakdowns in these mechanisms lead to behavioral symptoms of schizophrenia. Such a linking hypothesis is now available that complements the discussion offered by Phillips & Silverstein (P&S).
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29Filling-in the formsBehavioral and Brain Sciences 21 (6): 758-759. 1998.Boundary completion and surface filling-in are computationally complementary processes whose multiple processing stages form processing streams that realize a hierarchical resolution of uncertainty. Such complementarity and uncertainty principles provide a new foundation for philosophical discussions about visual perception, and lead to neural explanations of difficult perceptual data.
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14The role of learning in sensory-motor controlBehavioral and Brain Sciences 8 (1): 155-157. 1985.
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12Cortical dynamics of three-dimensional figure–ground perception of two-dimensional picturesPsychological Review 104 (3): 618-658. 1997.
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27Self-organizing neural models of categorization, inference and synchronyBehavioral and Brain Sciences 16 (3): 460-461. 1993.
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13Bring ART into the ACTBehavioral and Brain Sciences 26 (5): 610-611. 2003.ACT is compared with a particular type of connectionist model that cannot handle symbols and use nonbiological operations which do not learn in real time. This focus continues an unfortunate trend of straw man debates in cognitive science. Adaptive Resonance Theory, or ART-neural models of cognition can handle both symbols and subsymbolic representations, and meet the Newell criteria at least as well as connectionist models.
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126Neural substrates of visual percepts, imagery, and hallucinationsBehavioral and Brain Sciences 25 (2): 194-195. 2002.Recent neural models clarify many properties of mental imagery as part of the process whereby bottom-up visual information is influenced by top-down expectations, and how these expectations control visual attention. Volitional signals can transform modulatory top-down signals into supra-threshold imagery. Visual hallucinations can occur when the normal control of these volitional signals is lost.
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11How the venetian blind percept emerges from the laminar cortical dynamics of 3D visionFrontiers in Psychology 5. 2014.
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10Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreadingPsychological Review 92 (2): 173-211. 1985.
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30Hippocampal modulation of recognition, conditioning, timing, and space: Why so many functions?Behavioral and Brain Sciences 17 (3): 479-480. 1994.
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4Do all neural models really look alike? A comment on Anderson, Silverstein, Ritz, and JonesPsychological Review 85 (6): 592-596. 1978.
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Boston UniversityRegular Faculty
Boston, Massachusetts, United States of America
Areas of Interest
Philosophy of Mind |
Philosophy of Cognitive Science |