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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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Boston UniversityRegular Faculty
Boston, Massachusetts, United States of America
Areas of Interest
Philosophy of Mind |
Philosophy of Cognitive Science |