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This creates a non-linearity or \u201cattentional suppressive surround\u201d predicted by the Selective Tuning model of visual attention. However, previously reported effects of feature-based attention on neuronal responses are linear, e.g., feature-similarity gain. Here, we investigated this apparent contradiction by neurophysiological and psychophysical approaches.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Responses of motion direction-selective neurons in area MT\/MST of monkeys were recorded during a motion task. When attention was allocated to a stimulus moving in the neurons\u2019 preferred direction, response tuning curves showed its minimum for directions 60\u201390\u00b0 away from the preferred direction, an attentional suppressive surround. This effect was modeled via the interaction of two Gaussian fields representing excitatory narrowly tuned and inhibitory widely tuned inputs into a neuron, with feature-based attention predominantly increasing the gain of inhibitory inputs. We further showed using a motion repulsion paradigm in humans that feature-based attention produces a similar non-linearity on motion discrimination performance.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our results link the gain modulation of neuronal inputs and tuning curves examined through the feature-similarity gain lens to the attentional impact on neural population responses predicted by the Selective Tuning model, providing a unified framework for the documented effects of feature-based attention on neuronal responses and behavior.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12915-022-01428-7","type":"journal-article","created":{"date-parts":[[2022,10,5]],"date-time":"2022-10-05T19:02:41Z","timestamp":1664996561000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Attention to visual motion suppresses neuronal and behavioral sensitivity in nearby feature space"],"prefix":"10.1186","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6797-2846","authenticated-orcid":false,"given":"Sang-Ah","family":"Yoo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julio C.","family":"Martinez-Trujillo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Treue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John K.","family":"Tsotsos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mazyar","family":"Fallah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,10,5]]},"reference":[{"key":"1428_CR1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262015417.001.0001","volume-title":"A computational perspective on visual attention","author":"JK Tsotsos","year":"2011","unstructured":"Tsotsos JK. 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