Categorization training results in shape- and category-selective human neural plasticity.

@article{citeulike:1176159, abstract = {Object category learning is a fundamental ability, requiring the combination of "bottom-up" stimulus-driven with "top-down" task-specific information. It therefore may be a fruitful domain for study of the general neural mechanisms underlying cortical plasticity. A simple model predicts that category learning involves the formation of a task-independent shape-selective representation that provides input to circuits learning the categorization task, with the computationally appealing prediction of facilitated learning of additional, novel tasks over the same stimuli. Using fMRI rapid-adaptation techniques, we find that categorization training (on morphed "cars") induced a significant release from adaptation for small shape changes in lateral occipital cortex irrespective of category membership, compatible with the sharpening of a representation coding for physical appearance. In contrast, an area in lateral prefrontal cortex, selectively activated during categorization, showed sensitivity posttraining to explicit changes in category membership. Further supporting the model, categorization training also improved discrimination performance on the trained stimuli.}, address = {Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA.}, author = {Jiang, X. and Bradley, E. and Rini, R. A. and Zeffiro, T. and Vanmeter, J. and Riesenhuber, M. }, citeulike-article-id = {1176159}, doi = {http://dx.doi.org/10.1016/j.neuron.2007.02.015}, issn = {0896-6273}, journal = {Neuron}, keywords = {categorization, learning, maxlab, me, neuroscience, vision}, month = {March}, number = {6}, pages = {891--903}, posted-at = {2007-07-31 20:02:30}, priority = {0}, title = {Categorization training results in shape- and category-selective human neural plasticity.}, url = {http://dx.doi.org/10.1016/j.neuron.2007.02.015}, volume = {53}, year = {2007} }

TY - JOUR ID - citeulike:1176159 L3 - citeulike-article-id:1176159 TI - Categorization training results in shape- and category-selective human neural plasticity. JF - Neuron VL - 53 IS - 6 SP - 891 EP - 903 AD - Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA. SN - 0896-6273 N2 - Object category learning is a fundamental ability, requiring the combination of "bottom-up" stimulus-driven with "top-down" task-specific information. It therefore may be a fruitful domain for study of the general neural mechanisms underlying cortical plasticity. A simple model predicts that category learning involves the formation of a task-independent shape-selective representation that provides input to circuits learning the categorization task, with the computationally appealing prediction of facilitated learning of additional, novel tasks over the same stimuli. Using fMRI rapid-adaptation techniques, we find that categorization training (on morphed "cars") induced a significant release from adaptation for small shape changes in lateral occipital cortex irrespective of category membership, compatible with the sharpening of a representation coding for physical appearance. In contrast, an area in lateral prefrontal cortex, selectively activated during categorization, showed sensitivity posttraining to explicit changes in category membership. Further supporting the model, categorization training also improved discrimination performance on the trained stimuli. KW - categorization KW - learning KW - maxlab KW - me KW - neuroscience KW - vision AU - Jiang, X AU - Bradley, E AU - Rini, RA AU - Zeffiro, T AU - Vanmeter, J AU - Riesenhuber, M PY - 2007/03/15/ UR - http://dx.doi.org/10.1016/j.neuron.2007.02.015 ER -