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Common terms and phrasesaction activity agent algorithm approach artificial attention control attention shifts attention system basal ganglia Bayesian network behavior bottom-up brain camera cells cognitive color computer vision concepts context corresponding cortex cues defined detector different distractors dopamine dynamic effect emotion environment eye movements feature extraction feature maps figure filter firing first fixated fixation focus of attention focused fovea function gaze global homographs human infant influence inhibition inhibition of return input interaction Itti landmark learning mechanism memory mirror neurons model of visual module neural network Neuroscience object detection observed orientation parameters perception performance pixels position prefrontal cortex preview processing proposed receptive field recognition regions reinforcement learning representation robot role saccade saliency map scene selection selective attention semantic sequence signal simulation space spatial attention specific stimuli target task template temporal texture tion top-down vector visual attention visual field visual search visual system Popular passagesPage 365 - DeLong, MR (1990). Basal ganglia-thalamocortical circuits: parallel substrates for motor, oculomotor, prefrontal and limbic functions. Page 13 - What kind of an emotion of fear would be left if the feeling neither of quickened heart-beats nor of shallow breathing, neither of trembling lips nor of weakened limbs, neither of goose-flesh nor of visceral stirrings, were present, it is quite impossible for me to think. Page 215 - Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. Page 107 - Department of Computer Science and Engineering University of California, San Diego, La Jolla, CA 92093-0114 The testability of a VLSI design is strongly affected by its register-transfer level (RTL) structure. Page 497 - A new graphtheoretic approach to collaborative filtering', in Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, 1999, pp. Page 170 - Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables. Page 154 - Attention, spatial representation, and visual neglect: Simulating emergent attention and spatial memory in the selective attention for identification model (SAIM). Psychological Review, 110(11 29-87. Page 260 - The opinions expressed in this article are those of the authors and do not necessarily reflect the views of the Social Security Administration. Page 363 - Seamans, JK, 1996, Dopamine Dl receptor actions in layers V-VI rat prefrontal cortex neurons in vitro: Modulation of dendritic-somatic signal integration, J. Bibliographic information |