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","35"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Behavior Research Methods"],["dc.bibliographiccitation.lastpage","45"],["dc.bibliographiccitation.volume","49"],["dc.contributor.author","Calapai, A."],["dc.contributor.author","Berger, M."],["dc.contributor.author","Niessing, M."],["dc.contributor.author","Heisig, K."],["dc.contributor.author","Brockhausen, R."],["dc.contributor.author","Treue, S."],["dc.contributor.author","Gail, A."],["dc.date.accessioned","2017-09-07T11:47:46Z"],["dc.date.available","2017-09-07T11:47:46Z"],["dc.date.issued","2016"],["dc.description.abstract","In neurophysiological studies with awake non-human primates (NHP), it is typically necessary to train the animals over a prolonged period of time on a behavioral paradigm before the actual data collection takes place. Rhesus monkeys (Macaca mulatta) are the most widely used primate animal models in system neuroscience. Inspired by existing joystick- or touch-screen-based systems designed for a variety of monkey species, we built and successfully employed a stand-alone cage-based training and testing system for rhesus monkeys (eXperimental Behavioral Intrument, XBI). The XBI is mobile and easy to handle by both experts and non-experts; animals can work with only minimal physical restraints, yet the ergonomic design successfully encourages stereotypical postures with a consistent positioning of the head relative to the screen. The XBI allows computer-controlled training of the monkeys with a large variety of behavioral tasks and reward protocols typically used in systems and cognitive neuroscience research."],["dc.identifier.doi","10.3758/s13428-016-0707-3"],["dc.identifier.gro","3150724"],["dc.identifier.pmid","26896242"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13181"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7512"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1554-3528"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","A cage-based training, cognitive testing and enrichment system optimized for rhesus macaques in neuroscience research"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Journal of Vision"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Katzner, S."],["dc.contributor.author","Treue, Stefan"],["dc.contributor.author","Busse, L."],["dc.date.accessioned","2017-09-07T11:43:34Z"],["dc.date.available","2017-09-07T11:43:34Z"],["dc.date.issued","2012"],["dc.description.abstract","One of the key features of active perception is the ability to predict critical sensory events. Humans and animals can implicitly learn statistical regularities in the timing of events and use them to improve behavioral performance. Here, we used a signal detection approach to investigate whether such improvements in performance result from changes of perceptual sensitivity or rather from adjustments of a response criterion. In a regular sequence of briefly presented stimuli, human observers performed a noise-limited motion detection task by monitoring the stimulus stream for the appearance of a designated target direction. We manipulated target predictability through the hazard rate, which specifies the likelihood that a target is about to occur, given it has not occurred so far. Analyses of response accuracy revealed that improvements in performance could be accounted for by adjustments of the response criterion; a growing hazard rate was paralleled by an increasing tendency to report the presence of a target. In contrast, the hazard rate did not affect perceptual sensitivity. Consistent with previous research, we also found that reaction time decreases as the hazard rate grows. A simple rise-to-threshold model could well describe this decrease and attribute predictability effects to threshold adjustments rather than changes in information supply. We conclude that, even under conditions of full attention and constant perceptual sensitivity, behavioral performance can be optimized by dynamically adjusting the response criterion to meet ongoing changes in the likelihood of a target."],["dc.identifier.doi","10.1167/12.10.1"],["dc.identifier.gro","3151579"],["dc.identifier.pmid","22949481"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8390"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1534-7362"],["dc.title","Improving behavioral performance under full attention by adjusting response criteria to changes in stimulus predictability"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","117"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Vision Research"],["dc.bibliographiccitation.lastpage","137"],["dc.bibliographiccitation.volume","35"],["dc.contributor.author","Hildreth, Ellen C."],["dc.contributor.author","Ando, Hiroshi"],["dc.contributor.author","Andersen, Richard A."],["dc.contributor.author","Treue, Stefan"],["dc.date.accessioned","2009-03-14T16:05:27Z"],["dc.date.accessioned","2021-10-27T13:12:58Z"],["dc.date.available","2009-03-14T16:05:27Z"],["dc.date.available","2021-10-27T13:12:58Z"],["dc.date.issued","1995"],["dc.description.abstract","This paper addresses the computational role that the construction of a complete surface representation may play in the recovery of 3-D structure from motion. We first discuss the need to integrate surface reconstruction with the structure-from-motion process, both on computational and perceptual grounds. We then present a model that combines a feature-based structure-from-motion algorithm with a smooth surface interpolation mechanism. This model allows multiple surfaces to be represented in a given viewing direction, incorporates constraints on surface structure from object boundaries, and segregates image features onto multiple surfaces on the basis of their 2-D image motion. We present the results of computer simulations that relate the qualitative behavior of this model to psychophysical observations. In a companion paper, we discuss further perceptual observations regarding the possible role of surface reconstruction in the human recovery of 3-D structure from motion."],["dc.format.mimetype","application/pdf"],["dc.identifier.doi","10.1016/0042-6989(94)E0068-V"],["dc.identifier.pmid","7839602"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?goescholar/3238"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91739"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.notes.status","final"],["dc.relation.orgunit","Deutsches Primatenzentrum"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject","three-dimensional structure-from-motion; motion perception; surface reconstruction; motion interpretation; temporal integration"],["dc.subject.ddc","599"],["dc.subject.ddc","599.8"],["dc.title","Recovering three-dimensional structure from motion with surface reconstruction"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","submitted_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","685"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Vision Research"],["dc.bibliographiccitation.lastpage","689"],["dc.bibliographiccitation.volume","41"],["dc.contributor.author","Hol, Karel"],["dc.contributor.author","Treue, Stefan"],["dc.date.accessioned","2017-09-07T11:43:36Z"],["dc.date.available","2017-09-07T11:43:36Z"],["dc.date.issued","2001"],["dc.description.abstract","The signal-to-noise ratio of a direction-selective neuron for ‘detecting’ visual motion is highest when the motion direction is close to the neuron's preferred direction. But because these neurons show a bell-shaped tuning for direction, they have the highest signal-to-noise ratio for ‘discriminating’ the direction of motion when their preferred direction is off the direction to be discriminated. In this paper, we demonstrate with an adaptation paradigm that the visual system shows a corresponding task-specific ability to select neurons depending on whether it is performing a detection or a discrimination task, relying preferentially on different neuronal populations in the two tasks. Detection is based on neuronal populations tuned to the test direction, while direction discrimination is based on neurons preferring directions 40–60° off the test direction."],["dc.identifier.doi","10.1016/s0042-6989(00)00314-x"],["dc.identifier.gro","3151592"],["dc.identifier.pmid","11248258"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8404"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0042-6989"],["dc.title","Different populations of neurons contribute to the detection and discrimination of visual motion"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","ENEURO.0372-16.2017"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","eneuro"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Backen, Theda"],["dc.contributor.author","Treue, Stefan"],["dc.contributor.author","Martinez-Trujillo, Julio C."],["dc.date.accessioned","2021-06-01T10:48:21Z"],["dc.date.available","2021-06-01T10:48:21Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1523/ENEURO.0372-16.2017"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85909"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","2373-2822"],["dc.title","Encoding of Spatial Attention by Primate Prefrontal Cortex Neuronal Ensembles"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","5"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Journal of Vision"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Anton-Erxleben, Katharina"],["dc.contributor.author","Henrich, Christian"],["dc.contributor.author","Treue, Stefan"],["dc.date.accessioned","2017-09-07T11:43:36Z"],["dc.date.available","2017-09-07T11:43:36Z"],["dc.date.issued","2007"],["dc.description.abstract","Spatial attention shifts receptive fields in monkey extrastriate visual cortex toward the focus of attention (S. Ben Hamed, J. R. Duhamel, F. Bremmer, & W. Graf, 2002; C. E. Connor, J. L. Gallant, D. C. Preddie, & D. C. Van Essen, 1996; C. E. Connor, D. C. Preddie, J. L. Gallant, & D. C. Van Essen, 1997; T. Womelsdorf, K. Anton-Erxleben, F. Pieper, & S. Treue, 2006). This distortion in the retinotopic distribution of receptive fields might cause distortions in spatial perception such as an increase of the perceived size of attended stimuli. Here we test for such an effect in human subjects by measuring the point of subjective equality (PSE) for the perceived size of a neutral and an attended stimulus when drawing automatic attention to one of two spatial locations. We found a significant increase in perceived size of attended stimuli. Depending on the absolute stimulus size, this effect ranged from 4% to 12% and was more pronounced for smaller than for larger stimuli. In our experimental design, an attentional effect on task difficulty or a cue bias might influence the PSE measure. We performed control experiments and indeed found such effects, but they could only account for part of the observed results. Our findings demonstrate that the allocation of transient spatial attention onto a visual stimulus increases its perceived size and additionally biases subjects to select this stimulus for a perceptual judgment."],["dc.identifier.doi","10.1167/7.11.5"],["dc.identifier.gro","3151587"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8399"],["dc.language.iso","en"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","1534-7362"],["dc.title","Attention changes perceived size of moving visual patterns"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","365"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Neuron"],["dc.bibliographiccitation.lastpage","370"],["dc.bibliographiccitation.volume","35"],["dc.contributor.author","Martínez-Trujillo, Julio C."],["dc.contributor.author","Treue, Stefan"],["dc.date.accessioned","2017-09-07T11:43:33Z"],["dc.date.available","2017-09-07T11:43:33Z"],["dc.date.issued","2002"],["dc.description.abstract","The attentional modulation of sensory information processing in the visual system is the result of top-down influences, which can cause a multiplicative modulation of the firing rate of sensory neurons in extrastriate visual cortex, an effect reminiscent of the bottom-up effect of changes in stimulus contrast. This similarity could simply reflect the multiplicity of both effects. But, here we show that in direction-selective neurons in monkey visual cortical area MT, stimulus and attentional effects share a nonlinearity. These neurons show higher response gain for both contrast and attentional changes for intermediate contrast stimuli and smaller gain for low- and high-contrast stimuli. This finding suggests a close relationship between the neural encoding of stimulus contrast and the modulating effect of the behavioral relevance of stimuli."],["dc.identifier.doi","10.1016/s0896-6273(02)00778-x"],["dc.identifier.gro","3151562"],["dc.identifier.pmid","12160753"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8371"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0896-6273"],["dc.title","Attentional Modulation Strength in Cortical Area MT Depends on Stimulus Contrast"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","469"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Trends in Cognitive Sciences"],["dc.bibliographiccitation.lastpage","471"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Treue, Stefan"],["dc.date.accessioned","2017-09-07T11:43:39Z"],["dc.date.available","2017-09-07T11:43:39Z"],["dc.date.issued","2003"],["dc.description.abstract","A recent study using displays that are ambiguous for motion direction demonstrates that the current perceptual interpretation of such a stimulus is encoded in the highest areas of visual cortex whereas earlier areas encode only its sensory properties. This finding implies that cortical processing pathways perform a transition from a sensory representation to a representation that emphasizes the input's perceptual interpretation and ultimately the organism's behavioral state.The visual system of primates is highly structured, containing several dozen distinct areas. These areas are organized into a hierarchical system for the analysis of sensory information in which processing pathways, that is, chains of serially connected areas, can be identified. One of the central questions of systems neuroscience is how the task of analyzing the visual input is divided amongst the members of such cortical pathways [1]. Recent findings by Williams et al.[2] support the hypothesis that a visual pathway is more than a series of sensory processing steps, and in fact represents a gradient from a sensory-centered representation in the early cortical areas to an internal representation of the visual world in higher cortical areas that reflects the organism's current behavioral state and its perceptual interpretation of the sensory input."],["dc.identifier.doi","10.1016/j.tics.2003.09.003"],["dc.identifier.gro","3151602"],["dc.identifier.pmid","14585436"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8415"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1364-6613"],["dc.title","Climbing the cortical ladder from sensation to perception"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","393"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Perception"],["dc.bibliographiccitation.lastpage","402"],["dc.bibliographiccitation.volume","27"],["dc.contributor.author","Rauber, Hans-Jürgen"],["dc.contributor.author","Treue, Stefan"],["dc.date.accessioned","2017-09-07T11:43:36Z"],["dc.date.available","2017-09-07T11:43:36Z"],["dc.date.issued","1998"],["dc.description.abstract","While humans are very reliable (ie give highly reproducible answers) when repeatedly judging the direction of a moving random-dot pattern (RDP) we find that their accuracy (ie the direction they so reliably report) shows systematic errors. To quantify these errors, we presented a complete set of closely spaced directions and mapped the directional misjudgments by asking subjects to compare the perceived direction of a moving RDP with the direction of a test line. The results show misjudgments of up to 9°, which are best accounted for by a tendency of the subjects to overestimate the angle between the observed motion and an internal reference direction.A control experiment in which subjects had to judge the spatial distance between a point and a line demonstrates that these misjudgments are not confined to motion stimuli but rather seem to reflect a general tendency to overestimate the distance between a stimulus and a reference when they are close to each other."],["dc.identifier.doi","10.1068/p270393"],["dc.identifier.gro","3151588"],["dc.identifier.pmid","9797918"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?goescholar/3243"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8400"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0301-0066"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Reference Repulsion When Judging the Direction of Visual Motion"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]