Complementary interactions between classical and top-down driven inhibitory mechanisms of attention
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DOI: 10.1016/j.cogsys.2020.12.003
Abstract: Selective attention informs decision-making by biasing perceptual processing towards task-relevant stimuli. In experimental and computational literature, this is most often implemented through top-down excitation of selected stimuli. However, physiological and anatomical evidence shows that in… read more here.
Keywords: inhibitory mechanisms; attention; mechanisms attention; inhibitory ... See more keywords
Statistical learning in the absence of explicit top-down attention
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DOI: 10.1016/j.cortex.2020.07.006
Abstract: Recently it has been shown that statistical learning of regularities presented in a display can bias attentional selection, such that attentional capture by salient objects is reduced by suppressing the location where these distractors are… read more here.
Keywords: absence explicit; statistical learning; attention; top attention ... See more keywords
Enhancing spiking neural networks with hybrid top-down attention
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.949142
Abstract: As the representatives of brain-inspired models at the neuronal level, spiking neural networks (SNNs) have shown great promise in processing spatiotemporal information with intrinsic temporal dynamics. SNNs are expected to further improve their robustness and… read more here.
Keywords: neural networks; spiking neural; top attention; htda model ... See more keywords