Cortical synchronization and perceptual framing Export

@article{citeulike:1954907, abstract = {How does the brain group together different parts of an object into a coherent visual object representation? Different parts of an object may be processed by the brain at different rates and may thus become desynchronized. Perceptual framing is a process that resynchronizes cortical activities corresponding to the same retinal object. A neural network model is presented that is able to rapidly resynchronize desynchronized neural activities. The model provides a link between perceptual and brain data. Model properties quantitatively simulate perceptual framing data, including psychophysical data about temporal order judgments and the reduction of threshold contrast as a function of stimulus length. Such a model has earlier been used to explain data about illusory contour formation, texture segregation, shape-from-shading, 3-D vision, and cortical receptive fields. The model hereby shows how many data may be understood as manifestations of a cortical grouping process that can rapidly resynchronize image parts that belong together in visual object representations. The model exhibits better synchronization in the presence of noise than without noise, a type of stochastic resonance, and synchronizes robustly when cells that represent different stimulus orientations compete. These properties arise when fast long-range cooperation and slow short-range competition interact via nonlinear feedback interactions with cells that obey shunting equations.}, author = {Grossberg, S. and Grunewald, A.}, citeulike-article-id = {1954907}, citeulike-linkout-0 = {http://apps.newisiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=2BKEIGnGFnji5b2Cpkk&page=1&doc=1}, journal = {JOURNAL OF COGNITIVE NEUROSCIENCE}, keywords = {eeg, events, overview, time}, month = {January}, number = {1}, pages = {117--132}, posted-at = {2007-11-21 23:05:42}, priority = {3}, publisher = {MIT Press}, title = {Cortical synchronization and perceptual framing}, url = {http://apps.newisiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=2BKEIGnGFnji5b2Cpkk&page=1&doc=1}, volume = {9}, year = {1997} }

TY - JOUR ID - citeulike:1954907 L3 - citeulike-article-id:1954907 N2 - How does the brain group together different parts of an object into a coherent visual object representation? Different parts of an object may be processed by the brain at different rates and may thus become desynchronized. Perceptual framing is a process that resynchronizes cortical activities corresponding to the same retinal object. A neural network model is presented that is able to rapidly resynchronize desynchronized neural activities. The model provides a link between perceptual and brain data. Model properties quantitatively simulate perceptual framing data, including psychophysical data about temporal order judgments and the reduction of threshold contrast as a function of stimulus length. Such a model has earlier been used to explain data about illusory contour formation, texture segregation, shape-from-shading, 3-D vision, and cortical receptive fields. The model hereby shows how many data may be understood as manifestations of a cortical grouping process that can rapidly resynchronize image parts that belong together in visual object representations. The model exhibits better synchronization in the presence of noise than without noise, a type of stochastic resonance, and synchronizes robustly when cells that represent different stimulus orientations compete. These properties arise when fast long-range cooperation and slow short-range competition interact via nonlinear feedback interactions with cells that obey shunting equations. IS - 1 JF - JOURNAL OF COGNITIVE NEUROSCIENCE EP - 132 TI - Cortical synchronization and perceptual framing PB - MIT Press VL - 9 SP - 117 KW - eeg KW - events KW - overview KW - time AU - Grossberg, S AU - Grunewald, A PY - 1997/01// UR - http://apps.newisiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=2BKEIGnGFnji5b2Cpkk&page=1&doc=1 ER -