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20Cognitive self-organization and neural modularityBehavioral and Brain Sciences 8 (1): 18-19. 1985.
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20Neural Facades: Visual Representations of Static and Moving Form‐And‐Color‐And‐DepthMind and Language 5 (4): 411-456. 1990.
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20Laminar cortical dynamics of cognitive and motor working memory, sequence learning and performance: Toward a unified theory of how the cerebral cortex worksPsychological Review 115 (3): 677-732. 2008.
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19Classical conditioning: The role of interdisciplinary theoryBehavioral and Brain Sciences 12 (1): 144-145. 1989.
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19Neural dynamics of decision making under risk: Affective balance and cognitive-emotional interactionsPsychological Review 94 (3): 300-318. 1987.
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18The resonant dynamics of speech perception: Interword integration and duration-dependent backward effectsPsychological Review 107 (4): 735-767. 2000.
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18Cortical dynamics of visual motion perception: Short-range and long-range apparent motionPsychological Review 99 (1): 78-121. 1992.
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18The quantized geometry of visual space: The coherent computation of depth, form, and lightnessBehavioral and Brain Sciences 6 (4): 625. 1983.
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17Self-organizing features and categories through attentive resonanceBehavioral and Brain Sciences 21 (1): 27-28. 1998.Because “people create features to subserve the representation and categorization of objects” (abstract) Schyns et al. “provide an account of feature learning in which the components of a representation have close ties to the categorization history of the organism” (sect. 1.1). This commentary surveys self-organizing neural models that clarify this process. These models suggest how “top-down information should constrain the search for relevant dimensions/features of categorization” (sect. 3.4.2)…Read more
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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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16Cortical dynamics of contextually cued attentive visual learning and search: Spatial and object evidence accumulationPsychological Review 117 (4): 1080-1112. 2010.
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16The microscopic analysis of behavior: Toward a synthesis of instrumental, perceptual, and cognitive ideasBehavioral and Brain Sciences 7 (4): 594-595. 1984.
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16A neural theory of attentive visual search: Interactions of boundary, surface, spatial, and object representationsPsychological Review 101 (3): 470-489. 1994.
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15The role of learning in sensory-motor controlBehavioral and Brain Sciences 8 (1): 155-157. 1985.
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14Neural dynamics of word recognition and recall: Attentional priming, learning, and resonancePsychological Review 93 (1): 46-74. 1986.
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13Cortical dynamics of three-dimensional figure–ground perception of two-dimensional picturesPsychological Review 104 (3): 618-658. 1997.
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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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11How the venetian blind percept emerges from the laminar cortical dynamics of 3D visionFrontiers in Psychology 5. 2014.
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11Stable self-organization of sensory recognition codes: Is chaos necessary?Behavioral and Brain Sciences 10 (2): 179-180. 1987.
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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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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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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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8Human and computer rules and representations are not equivalentBehavioral and Brain Sciences 3 (1): 136-138. 1980.
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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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8Neural dynamics of autistic behaviors: Cognitive, emotional, and timing substratesPsychological Review 113 (3): 483-525. 2006.
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Boston UniversityRegular Faculty
Boston, Massachusetts, United States of America
Areas of Interest
Philosophy of Mind |
Philosophy of Cognitive Science |