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153The 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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12Realizing 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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176Spatial 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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191Contour 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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186Neural 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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37Principles of cortical synchronizationBehavioral and Brain Sciences 20 (4): 689-690. 1997.Functional roles for cortical synchronization in self-organizing neural networks are described. These properties are best understood by models that link brain to behavior. Synchrony can express itself differently in cortical circuits that perform different behavioral tasks. Cortical temporal properties that seem inexplicable by synchrony are also mentioned.
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24Brain feedback and adaptive resonance in speech perceptionBehavioral and Brain Sciences 23 (3): 332-333. 2000.The brain contains ubiquitous reciprocal bottom-up and top-down intercortical and thalamocortical pathways. These resonating feedback pathways may be essential for stable learning of speech and language codes and for context-sensitive selection and completion of noisy speech sounds and word groupings. Context-sensitive speech data, notably interword backward effects in time, have been quantitatively modeled using these concepts but not with purely feedforward models.
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20Neural dynamics of decision making under risk: Affective balance and cognitive-emotional interactionsPsychological Review 94 (3): 300-318. 1987.
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Adaptative Resonance TheoryIn Michael A. Arbib (ed.), The Handbook of Brain Theory and Neural Networks, Second Edition, Mit Press. pp. 87. 2002.
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22The quantized geometry of visual space: The coherent computation of depth, form, and lightnessBehavioral and Brain Sciences 6 (4): 625. 1983.
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108STaRT: A bridge between emotion theory and neurobiology through dynamic system modelingBehavioral and Brain Sciences 28 (2): 207-208. 2005.Lewis proposes a “reconceptualization” of how to link the psychology and neurobiology of emotion and cognitive-emotional interactions. His main proposed themes have actually been actively and quantitatively developed in the neural modeling literature for more than 30 years. This commentary summarizes some of these themes and points to areas of particularly active research in this area.
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27Neural models of reachingBehavioral and Brain Sciences 20 (2): 310-310. 1997.Plamondon & Alimi (P&A) have unified much data on speed/accuracy trade-offs during reaching movements using a delta-lognormal form factor that describes notably neuromuscular systems. Their approach raises questions about whether a large number of systems is needed, whether they are linear, and whether the results disclose the neural design principles that control reaching behaviors. The authors admit that (sect. 6, para. 4)
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17A neural theory of attentive visual search: Interactions of boundary, surface, spatial, and object representationsPsychological Review 101 (3): 470-489. 1994.
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63Linking visual cortex to visual perception: An alternative to the gestalt bubbleBehavioral and Brain Sciences 26 (4): 412-413. 2003.Lehar's lively discussion builds on a critique of neural models of vision that is incorrect in its general and specific claims. He espouses a Gestalt perceptual approach rather than one consistent with the “objective neurophysiological state of the visual system” (target article, Abstract). Contemporary vision models realize his perceptual goals and also quantitatively explain neurophysiological and anatomical data.
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9Human and computer rules and representations are not equivalentBehavioral and Brain Sciences 3 (1): 136-138. 1980.
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20Cortical dynamics of contextually cued attentive visual learning and search: Spatial and object evidence accumulationPsychological Review 117 (4): 1080-1112. 2010.
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55Competitive Learning: From Interactive Activation to Adaptive ResonanceCognitive Science 11 (1): 23-63. 1987.
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64The Art of Seeing and PaintingTechnical Report. 2006.The human urge to represent the three-dimensional world using two-dimensional pictorial representations dates back at least to Paleolithic times. Artists from ancient to modern times have struggled to understand how a few contours or color patches on a flat surface can induce mental representations of a three-dimensional scene. This article summarizes some of the recent breakthroughs in scientifically understanding how the brain sees that shed light on these struggles. These breakthroughs i…Read more
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24Processing of expected and unexpected events during conditioning and attention: A psychophysiological theoryPsychological Review 89 (5): 529-572. 1982.
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15Neural dynamics of word recognition and recall: Attentional priming, learning, and resonancePsychological Review 93 (1): 46-74. 1986.
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895Depth perception from pairs of overlapping cues in pictorial displaysSpatial Vision 15 255-276. 2002.The experiments reported herein probe the visual cortical mechanisms that control near–far percepts in response to two-dimensional stimuli. Figural contrast is found to be a principal factor for the emergence of percepts of near versus far in pictorial stimuli, especially when stimulus duration is brief. Pictorial factors such as interposition (Experiment 1) and partial occlusion Experiments 2 and 3) may cooperate, as generally predicted by cue combination models, or compete with contrast factor…Read more
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59Localist but distributed representationsBehavioral and Brain Sciences 23 (4): 478-479. 2000.A number of examples are given of how localist models may incorporate distributed representations, without the types of nonlocal interactions that often render distributed models implausible. The need to analyze the information that is encoded by these representations is also emphasized as a metatheoretical constraint on model plausibility.
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19The resonant dynamics of speech perception: Interword integration and duration-dependent backward effectsPsychological Review 107 (4): 735-767. 2000.
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Boston UniversityRegular Faculty
Boston, Massachusetts, United States of America
Areas of Interest
Philosophy of Mind |
Philosophy of Cognitive Science |