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.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","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","295"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Trends in Neurosciences"],["dc.bibliographiccitation.lastpage","300"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Treue, Stefan"],["dc.date.accessioned","2017-09-07T11:43:40Z"],["dc.date.available","2017-09-07T11:43:40Z"],["dc.date.issued","2001"],["dc.description.abstract","The processing of visual information combines bottom-up sensory aspects with top-down influences, most notably attentional processes. Attentional influences have now been demonstrated throughout visual cortex, and their influence on the processing of visual information is profound. Neuronal responses to attended locations or stimulus features are enhanced, whereas those from unattended locations or features are suppressed. This influence of attention increases as one ascends the hierarchy of visual areas in primate cortex, ultimately resulting in a neural representation of the visual world that is dominated by the behavioral relevance of the information, rather than designed to provide an accurate and complete description of it. This realization has led to a rethinking of the role of areas that have previously been considered to be ‘purely sensory’."],["dc.identifier.doi","10.1016/s0166-2236(00)01814-2"],["dc.identifier.gro","3151593"],["dc.identifier.pmid","11311383"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8405"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0166-2236"],["dc.title","Neural correlates of attention in primate visual cortex"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","161"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Nature Neuroscience"],["dc.bibliographiccitation.lastpage","162"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Treue, Stefan"],["dc.date.accessioned","2017-09-07T11:43:42Z"],["dc.date.available","2017-09-07T11:43:42Z"],["dc.date.issued","2006"],["dc.description.abstract","Visual attention in primates is influenced by microstimulation of the frontal eye fields. A study in Nature now reports similar effects on auditory information processing after microstimulation of a region of the forebrain that controls gaze direction in barn owls."],["dc.identifier.doi","10.1038/nn0206-161"],["dc.identifier.gro","3151605"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8419"],["dc.language.iso","en"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","1097-6256"],["dc.title","Directing the auditory spotlight"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2143"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Clinical Neurophysiology"],["dc.bibliographiccitation.lastpage","2151"],["dc.bibliographiccitation.volume","121"],["dc.contributor.author","Amaya, Franco"],["dc.contributor.author","Paulus, Walter"],["dc.contributor.author","Treue, Stefan"],["dc.contributor.author","Liebetanz, David"],["dc.date.accessioned","2017-09-07T11:43:31Z"],["dc.date.available","2017-09-07T11:43:31Z"],["dc.date.issued","2010"],["dc.description.abstract","ObjectiveExternally induced neuroplasticity may be of therapeutic value in several neuro-psychiatric disorders. To facilitate research on mechanisms and to make possible the design of prospective, advanced stimulation protocols without exposing human subjects to risk, we have developed a primate model which allows us to assess changes of motor cortical excitability using transcranial magnetic stimulation (TMS).MethodsTMS hand muscle representation and cortical excitability were determined in two awake trained rhesus monkeys. Neuroplastic changes of cortical excitability were established by 13 min of paired associative stimulation (PAS) with interstimulus intervals of either 15 or 5 ms.ResultsThe representational areas of FDI and APB muscles (3.02–4.96 cm2) were located between the spur of the arcuate and the superior precentral sulcus, indicating the potential to carry out spatially selective cortical stimulation. PAS with an interstimulus interval of 15 ms strongly increased cortical excitability for up to two hours, while 5 ms interval had no effect.ConclusionsThis first systematic TMS and PAS primate study demonstrates that the trained rhesus monkeys represent an exceptional animal model that allows cortical TMS mapping as well as non–invasive assessment and induction of cortical neuroplasticity.SignificanceThis animal model offers additional advantageous options not possible with humans, namely an alternative to invasive, morphological or molecular analyses, making it highly suitable for preclinical development of advanced neuroplasticity paradigms without exposing human subjects to risk."],["dc.identifier.doi","10.1016/j.clinph.2010.03.058"],["dc.identifier.gro","3151548"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8357"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1388-2457"],["dc.title","Transcranial magnetic stimulation and PAS-induced cortical neuroplasticity in the awake rhesus monkey"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]