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A unified circuit model of attention: Neural and behavioral effects

https://doi.org/10.1101/2019.12.13.875534

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Attention Reshapes Center-Surround Receptive Field Structure in Macaque Cortical Area MT

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S‐potentials from luminosity units in the retina of fish (Cyprinidae)

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Universality in the Evolution of Orientation Columns in the Visual Cortex

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Long-range and local circuits for top-down modulation of visual cortex processing

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Attention Increases Spike Count Correlations between Visual Cortical Areas

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Neuronal heterogeneity of normalization strength in a circuit model

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Leveraging spiking deep neural networks to understand neural mechanisms underlying selective attention

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Attention in Psychology, Neuroscience, and Machine Learning

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Understanding top-down attention using task-oriented ablation design

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VIP interneurons in mouse primary visual cortex selectively enhance responses to weak but specific stimuli

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