Titlebook: Computational and Cognitive Neuroscience of Vision; Qi Zhao Book 2017 Springer Science+Business Media Singapore 2017 Artificial Visual Sys

hexagon

書目名稱Computational and Cognitive Neuroscience of Vision影響因子(影響力)




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書目名稱Computational and Cognitive Neuroscience of Vision網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational and Cognitive Neuroscience of Vision被引頻次




書目名稱Computational and Cognitive Neuroscience of Vision被引頻次學(xué)科排名




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書目名稱Computational and Cognitive Neuroscience of Vision讀者反饋




書目名稱Computational and Cognitive Neuroscience of Vision讀者反饋學(xué)科排名

灰心喪氣

Rustproof

Recognition of Occluded Objects,al information. Pattern recognition from sparse information is essential when objects are rendered under poor illumination or when they are significantly occluded. Here we provide an overview of the behavioral, physiological and computational studies of pattern completion. We argue that the computat

laxative

Towards a Theory of Computation in the Visual Cortex,e into characterizing input-output relationships across areas of the visual cortex (Dicarlo et?al. .), which has yielded an array of computational models. These models have, however, typically focused on one or very few visual areas, modules (form, motion, depth, color) or functions (e.g., object re

過分

Dealing

Dealing

The Pupil as Marker of Cognitive Processes,t incident on the eye, pupil size is a rich marker of many cognitive processes. Since the turn of the millennium, the increasing availability of video-based eyetracking devices has led to a renaissance of pupillometry as research technique in the cognitive neurosciences. The chapter reviews recent d

verdict

Ambiguous

–LOUS

Approaches to Understanding Visual Illusions,en as malfunctions or natural consequences of the normal operations of the visual system, these deviations from the veridical perception of physical sources of sensory inputs provide rich test beds for the evaluation of theories of perception. Here we consider the strengths and weaknesses of three t