-
52Unattended exposure to components of speech sounds yields same benefits as explicit auditory trainingCognition 115 (3): 435-443. 2010.
-
25Cognitive self-organization and neural modularityBehavioral and Brain Sciences 8 (1): 18-19. 1985.
-
68The complementary brain: From brain dynamics to conscious experiencesIn Christian Kaernbach, Erich Schröger & Hermann Müller (eds.), Psychophysics Beyond Sensation: Laws and Invariants of Human Cognition, Psychology Press. pp. 417-449. 2004.
-
20Realistic 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.
-
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: August 13 to 16, 1994, Georgia Institute of Technology, Erlbaum. pp. 16--330. 1994.
-
10Neural dynamics of autistic behaviors: Cognitive, emotional, and timing substratesPsychological Review 113 (3): 483-525. 2006.
-
39Linking 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).
-
32Filling-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.
-
16The role of learning in sensory-motor controlBehavioral and Brain Sciences 8 (1): 155-157. 1985.
-
14Cortical dynamics of three-dimensional figure–ground perception of two-dimensional picturesPsychological Review 104 (3): 618-658. 1997.
-
32Self-organizing neural models of categorization, inference and synchronyBehavioral and Brain Sciences 16 (3): 460-461. 1993.
-
15Bring 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.
-
129Neural 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.
-
14How the venetian blind percept emerges from the laminar cortical dynamics of 3D visionFrontiers in Psychology 5. 2014.
-
11Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreadingPsychological Review 92 (2): 173-211. 1985.
-
37Hippocampal modulation of recognition, conditioning, timing, and space: Why so many functions?Behavioral and Brain Sciences 17 (3): 479-480. 1994.
-
4Do all neural models really look alike? A comment on Anderson, Silverstein, Ritz, and JonesPsychological Review 85 (6): 592-596. 1978.
-
17The microscopic analysis of behavior: Toward a synthesis of instrumental, perceptual, and cognitive ideasBehavioral and Brain Sciences 7 (4): 594-595. 1984.
-
19Classical conditioning: The role of interdisciplinary theoryBehavioral and Brain Sciences 12 (1): 144-145. 1989.
-
49Representations need self-organizing top-down expectations to fit a changing worldBehavioral and Brain Sciences 21 (4): 473-474. 1998.“Chorus embodies an attempt to find out how far a mostly bottom-up approach to representation can be taken.” Models that embody both bottom-up and top-down learning have stronger computational properties and explain more data about representation than feedforward models do.
-
25Attention and recognition learning by adaptive resonanceBehavioral and Brain Sciences 13 (2): 241-242. 1990.
-
6Neural Facades: Visual Representations of Static and Moving Form‐And‐Color‐And‐DepthMind and Language 5 (4): 411-456. 1990.
-
24Laminar 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.
-
47From working memory to long-term memory and back: Linked but distinctBehavioral and Brain Sciences 26 (6): 737-738. 2003.Neural models have proposed how short-term memory (STM) storage in working memory and long-term memory (LTM) storage and recall are linked and interact, but are realized by different mechanisms that obey different laws. The authors' data can be understood in the light of these models, which suggest that the authors may have gone too far in obscuring the differences between these processes.
-
23Binding of object representations by synchronous cortical dynamics explains temporal order and spatial pooling dataIn Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society: August 13 to 16, 1994, Georgia Institute of Technology, Erlbaum. pp. 387--391. 1994.
-
Conscious ExperiencesIn Christian Kaernbach, Erich Schröger & Hermann Müller (eds.), Psychophysics Beyond Sensation: Laws and Invariants of Human Cognition, Psychology Press. pp. 417. 2004.
-
12Stable self-organization of sensory recognition codes: Is chaos necessary?Behavioral and Brain Sciences 10 (2): 179-180. 1987.
-
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.
-
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.
-
Boston UniversityRegular Faculty
Boston, Massachusetts, United States of America
Areas of Interest
Philosophy of Mind |
Philosophy of Cognitive Science |