Abstract | ||
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Visual cortical neurons possess different receptive fields (RF) in spatial structures and functions. They are selective to spatial frequencies, orientations, moving direction, etc. of special stimulus. The region, call ed integration-field (IF), beyond the classical receptive fields (CRF) of the cortical neurons was found in physiological experiments. These neurons do not response to stimuli presented alone at the regions. But the responses can be modulated while the IF and CRF are stimulated simultaneously. The tuning properties of IF are similar to those of the CRF; Based on the neural circuit of CRF and IF, a two-hexagon model was proposed in order to explore the mechanism of IF. We simulate its spatial structure and the length- and width-integration curves. We investigated the functional role of IF in visual image processing. |
Year | Venue | Keywords |
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1998 | ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3 | visual cortical neuron, integration field, tuning curve |
Field | DocType | Citations |
Neuroscience,Surround suppression,Pattern recognition,Visual cortex,Computer science,Motion perception,Binocular neurons,Posterior parietal cortex,Artificial intelligence,Visual system,Sensory system,Cognitive neuroscience of visual object recognition | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiang-lin Qi | 1 | 15 | 2.85 |
Xiaochuan Pan | 2 | 215 | 79.94 |
Yun-jiu Wang | 3 | 15 | 2.51 |