Treue, Stefan

[["dc.bibliographiccitation.firstpage","1619"],["dc.bibliographiccitation.issue","18"],["dc.bibliographiccitation.journal","NeuroReport"],["dc.bibliographiccitation.lastpage","1624"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Rodríguez-Sanchez, Antonio J."],["dc.contributor.author","Tsotsos, John K."],["dc.contributor.author","Treue, Stefan"],["dc.contributor.author","Martinez-Trujillo, Julio C."],["dc.date.accessioned","2017-09-07T11:43:33Z"],["dc.date.available","2017-09-07T11:43:33Z"],["dc.date.issued","2009"],["dc.description.abstract","As we move, the projection of moving objects on our retinas generates an array of velocity vectors known as optic flow. One class of optic flow is spiral motion, defined by the angle between a local vector direction and the direction of the steepest increase in local speed. By discriminating among such angles, an organism could discern between different flow patterns and effectively interact with the environment. In primates, spiral-selective neurons in medial superior temporal area are thought to provide the substrate for this ability. We found that these cells show higher discrimination thresholds than found behaviorally in humans, suggesting that when discriminating spiral motions the brain integrates information across many of these neurons to achieve its high perceptual performance."],["dc.identifier.doi","10.1097/wnr.0b013e32833312c7"],["dc.identifier.gro","3151561"],["dc.identifier.pmid","19957382"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8370"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0959-4965"],["dc.title","Comparing neuronal and behavioral thresholds for spiral motion discrimination"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","435"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","NeuroReport"],["dc.bibliographiccitation.lastpage","438"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Martinez-Trujillo, Julio C."],["dc.contributor.author","Tsotsos, John K."],["dc.contributor.author","Simine, Evgueni"],["dc.contributor.author","Pomplun, Marc"],["dc.contributor.author","Wildes, Richard"],["dc.contributor.author","Treue, Stefan"],["dc.contributor.author","Heinze, Hans-Jochen"],["dc.contributor.author","Hopf, Jens-Max"],["dc.date.accessioned","2017-09-07T11:43:28Z"],["dc.date.available","2017-09-07T11:43:28Z"],["dc.date.issued","2005"],["dc.description.abstract","Cortical area MT/V5 in the human occipito-temporal cortex is activated by visual motion. In this study, we use functional imaging to demonstrate that a subregion of MT/V5 is more strongly activated by unidirectional motion with speed gradients than by other motion patterns. Our results suggest that like the monkey homolog middle temporal area (MT), human MT/V5 contains neurons selective for the processing of speed gradients. Such neurons may constitute an intermediate stage of processing between neurons selective for the average speed of unidirectional motion and neurons selective for different combinations of speed gradient and different motion directions such as expanding optical flow patterns."],["dc.identifier.doi","10.1097/00001756-200504040-00004"],["dc.identifier.gro","3151545"],["dc.identifier.pmid","15770147"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8354"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0959-4965"],["dc.title","Selectivity for speed gradients in human area MT/V5"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["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"]]