Treue, Stefan

[["dc.bibliographiccitation.artnumber","220"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Biology"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Yoo, Sang-Ah"],["dc.contributor.author","Martinez-Trujillo, Julio C."],["dc.contributor.author","Treue, Stefan"],["dc.contributor.author","Tsotsos, John K."],["dc.contributor.author","Fallah, Mazyar"],["dc.date.accessioned","2022-10-10T06:17:55Z"],["dc.date.available","2022-10-10T06:17:55Z"],["dc.date.issued","2022-10-05"],["dc.date.updated","2022-10-09T03:11:07Z"],["dc.description.abstract","Abstract\r\n \r\n Background\r\n Feature-based attention prioritizes the processing of the attended feature while strongly suppressing the processing of nearby ones. This creates a non-linearity or “attentional suppressive surround” 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.\r\n \r\n \r\n Results\r\n 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’ preferred direction, response tuning curves showed its minimum for directions 60–90° 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.\r\n \r\n \r\n Conclusions\r\n 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."],["dc.identifier.citation","BMC Biology. 2022 Oct 05;20(1):220"],["dc.identifier.doi","10.1186/s12915-022-01428-7"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/116162"],["dc.language.iso","en"],["dc.relation.orgunit","Deutsches Primatenzentrum"],["dc.rights","CC BY 4.0"],["dc.rights.holder","The Author(s)"],["dc.subject","Feature-based attention"],["dc.subject","Attentional surround suppression"],["dc.subject","Motion processing"],["dc.subject","Selective Tuning model"],["dc.title","Attention to visual motion suppresses neuronal and behavioral sensitivity in nearby feature space"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]