Intracranial self-stimulation also facilitates learning in a visual discrimination task in the Morris water maze in rats
Sign Up to like & getrecommendations! Published in 2017 at "Behavioural Brain Research"
DOI: 10.1016/j.bbr.2016.09.069
Abstract: HighlightsSelfâstimulation (ICSS) facilitates the learning of a visual discrimination task.A direct, instead of a trial and error strategy is preferred by ICSS animals.Number of errors is a more sensitive measure than latency in visual discrimination.A… read more here.
Keywords: facilitates learning; task; stimulation; visual discrimination ... See more keywords
Amygdala central nucleus modulation of cerebellar learning with a visual conditioned stimulus
Sign Up to like & getrecommendations! Published in 2018 at "Neurobiology of Learning and Memory"
DOI: 10.1016/j.nlm.2018.03.011
Abstract: HIGHLIGHTSThe central amygdala (CeA) is crucial for cerebellar learning with visual stimuli.CeA input modulates, but is not necessary for, cerebellar learning.CeA modulation of the cerebellum occurs through a projection to the basilar pons.The CeA modulates… read more here.
Keywords: modulation; cea; conditioned stimulus; learning visual ... See more keywords
Deep Learning for Visual Analytics of the Spread of COVID-19 Infection in Crowded Urban Environments
Sign Up to like & getrecommendations! Published in 2021 at "Natural Hazards Review"
DOI: 10.1061/(asce)nh.1527-6996.0000492
Abstract: AbstractThe novel SARS-CoV-2 coronavirus caused a global pandemic in 2020 with millions of diagnosed cases and a staggering number of deaths. As a preventive measure, many governments issued social... read more here.
Keywords: visual analytics; learning visual; analytics spread; spread covid ... See more keywords
Cross-modal working memory binding and learning of visual-phonological associations in children with reading difficulties
Sign Up to like & getrecommendations! Published in 2019 at "Child Neuropsychology"
DOI: 10.1080/09297049.2019.1572729
Abstract: ABSTRACT Reading decoding requires the association of a visual input (the printed word) with a verbal output (the spoken word), and the learning of visual-phonological associations via repeated exposure occurs both explicitly (by instruction and… read more here.
Keywords: children reading; reading difficulties; cross modal; visual phonological ... See more keywords
Active Learning for Visual Image Classification Method Based on Transfer Learning
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DOI: 10.1109/access.2017.2761898
Abstract: The active learning method involves searching for the most informative unmarked samples by query function, submitting them to the expert function for marking, then using the samples to train the classification model in order to… read more here.
Keywords: active learning; classification; transfer learning; method ... See more keywords
Deep Learning in Visual Tracking: A Review.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3136907
Abstract: Deep learning (DL) has made breakthroughs in many computer vision tasks and also in visual tracking. From the beginning of the research on the automatic acquisition of high abstract feature representation, DL has gone deep… read more here.
Keywords: visual tracking; learning visual; tracking review; research ... See more keywords