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Schwiedrzik, Caspar
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Schwiedrzik, Caspar
Official Name
Schwiedrzik, Caspar
Alternative Name
Schwiedrzik, C.
Schwiedrzik, Caspar M.
Schwiedrzik, C. M.
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2020Journal Article Research Paper [["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Liashenko, Anna"],["dc.contributor.author","Dizaji, Aslan S."],["dc.contributor.author","Melloni, Lucia"],["dc.contributor.author","Schwiedrzik, Caspar M."],["dc.date.accessioned","2021-04-14T08:26:49Z"],["dc.date.available","2021-04-14T08:26:49Z"],["dc.date.issued","2020"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1038/s41598-020-78460-6"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17815"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82088"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","2045-2322"],["dc.relation.orgunit","European Neuroscience Institute Göttingen"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Memory guidance of value-based decision making at an abstract level of representation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2015-10-31Journal Article [["dc.bibliographiccitation.artnumber","594"],["dc.bibliographiccitation.journal","Frontiers in Human Neuroscience"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Snyder, Joel"],["dc.contributor.author","Schwiedrzik, Caspar"],["dc.contributor.author","Vitela, A. Davi"],["dc.contributor.author","Melloni, Lucia"],["dc.date.accessioned","2020-09-14T07:00:41Z"],["dc.date.available","2020-09-14T07:00:41Z"],["dc.date.issued","2015-10-31"],["dc.identifier.pmid","26582982"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67670"],["dc.language.iso","en"],["dc.title","How previous experience shapes perception in different sensory modalities"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]Details PMID PMC2014-05Journal Article Research Paper [["dc.bibliographiccitation.firstpage","1152-64"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Cerebral Cortex"],["dc.bibliographiccitation.lastpage","1164"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Ruff, Christian C"],["dc.contributor.author","Lazar, Andreea"],["dc.contributor.author","Leitner, Frauke C"],["dc.contributor.author","Singer, Wolf"],["dc.contributor.author","Melloni, Lucia"],["dc.date.accessioned","2020-09-14T07:24:59Z"],["dc.date.available","2020-09-14T07:24:59Z"],["dc.date.issued","2014-05"],["dc.description.abstract","Perception is an active inferential process in which prior knowledge is combined with sensory input, the result of which determines the contents of awareness. Accordingly, previous experience is known to help the brain \"decide\" what to perceive. However, a critical aspect that has not been addressed is that previous experience can exert 2 opposing effects on perception: An attractive effect, sensitizing the brain to perceive the same again (hysteresis), or a repulsive effect, making it more likely to perceive something else (adaptation). We used functional magnetic resonance imaging and modeling to elucidate how the brain entertains these 2 opposing processes, and what determines the direction of such experience-dependent perceptual effects. We found that although affecting our perception concurrently, hysteresis and adaptation map into distinct cortical networks: a widespread network of higher-order visual and fronto-parietal areas was involved in perceptual stabilization, while adaptation was confined to early visual areas. This areal and hierarchical segregation may explain how the brain maintains the balance between exploiting redundancies and staying sensitive to new information. We provide a Bayesian model that accounts for the coexistence of hysteresis and adaptation by separating their causes into 2 distinct terms: Hysteresis alters the prior, whereas adaptation changes the sensory evidence (the likelihood function)."],["dc.identifier.doi","10.1093/cercor/bhs396"],["dc.identifier.pmid","23236204"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67676"],["dc.language.iso","en"],["dc.relation.eissn","1460-2199"],["dc.relation.issn","1460-2199"],["dc.relation.issn","1047-3211"],["dc.title","Untangling perceptual memory: hysteresis and adaptation map into separate cortical networks"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2009-09-25Journal Article [["dc.bibliographiccitation.firstpage","18.1-18"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Journal of Vision"],["dc.bibliographiccitation.lastpage","18"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Singer, Wolf"],["dc.contributor.author","Melloni, Lucia"],["dc.date.accessioned","2020-09-14T07:24:18Z"],["dc.date.available","2020-09-14T07:24:18Z"],["dc.date.issued","2009-09-25"],["dc.description.abstract","Can practice effects on unconscious stimuli lead to awareness? Can we \"learn to see\"? Recent evidence suggests that blindsight patients trained for an extensive period of time can learn to discriminate and consciously perceive stimuli that they were previously unaware of. So far, it is unknown whether these effects generalize to normal observers. Here we investigated practice effects in metacontrast masking. Subjects were trained for five consecutive days on the stimulus onset asynchrony (SOA) that resulted in chance performance. Our results show a linear increase in sensitivity (d') but no change in bias (c) for the trained SOA. This practice effect on sensitivity spreads to all tested SOAs. Additionally, we show that subjects rate their perceptual awareness of the target stimuli differently before and after training, exhibiting not only an increase in sensitivity, but also in the subjective awareness of the percept. Thus, subjects can indeed \"learn to see.\""],["dc.identifier.doi","10.1167/9.10.18"],["dc.identifier.pmid","19810799"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67672"],["dc.language.iso","en"],["dc.relation.eissn","1534-7362"],["dc.relation.issn","1534-7362"],["dc.title","Sensitivity and perceptual awareness increase with practice in metacontrast masking"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2009-04-16Journal Article [["dc.bibliographiccitation.firstpage","8-10; author reply 10-12"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Neuron"],["dc.bibliographiccitation.lastpage","10"],["dc.bibliographiccitation.volume","62"],["dc.contributor.author","Melloni, Lucia"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Wibral, Michael"],["dc.contributor.author","Rodriguez, Eugenio"],["dc.contributor.author","Singer, Wolf"],["dc.date.accessioned","2020-09-14T07:25:53Z"],["dc.date.available","2020-09-14T07:25:53Z"],["dc.date.issued","2009-04-16"],["dc.identifier.doi","10.1016/j.neuron.2009.04.002"],["dc.identifier.pmid","19376062"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67684"],["dc.language.iso","en"],["dc.relation.eissn","1097-4199"],["dc.relation.issn","0896-6273"],["dc.title","Response to: Yuval-Greenberg et al., \"Transient Induced Gamma-Band Response in EEG as a Manifestation of Miniature Saccades.\" Neuron 58, 429-441"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2018Journal Article [["dc.bibliographiccitation.firstpage","R1094"],["dc.bibliographiccitation.issue","18"],["dc.bibliographiccitation.journal","Current Biology"],["dc.bibliographiccitation.lastpage","R1095"],["dc.bibliographiccitation.volume","28"],["dc.contributor.author","Schwiedrzik, Caspar M."],["dc.contributor.author","Sudmann, Sandrin S."],["dc.contributor.author","Thesen, Thomas"],["dc.contributor.author","Wang, Xiuyuan"],["dc.contributor.author","Groppe, David M."],["dc.contributor.author","Mégevand, Pierre"],["dc.contributor.author","Doyle, Werner"],["dc.contributor.author","Mehta, Ashesh D."],["dc.contributor.author","Devinsky, Orrin"],["dc.contributor.author","Melloni, Lucia"],["dc.date.accessioned","2019-07-09T11:51:23Z"],["dc.date.available","2019-07-09T11:51:23Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1016/j.cub.2018.07.066"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16115"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59937"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 706519"],["dc.relation","Marie Curie International Outgoing Fellowship within the 7th European Community Framework Programme grant agreement No. 299372"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","612"],["dc.title","Medial prefrontal cortex supports perceptual memory"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","submitted_version"],["dspace.entity.type","Publication"]]Details DOI2018Journal Article [["dc.bibliographiccitation.artnumber","e0200106"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Schwiedrzik, Caspar M."],["dc.contributor.author","Melloni, Lucia"],["dc.contributor.author","Schurger, Aaron"],["dc.date.accessioned","2019-04-01T13:59:44Z"],["dc.date.available","2019-04-01T13:59:44Z"],["dc.date.issued","2018"],["dc.description.abstract","In 1957, Craig Mooney published a set of human face stimuli to study perceptual closure: the formation of a coherent percept on the basis of minimal visual information. Images of this type, now known as \"Mooney faces\", are widely used in cognitive psychology and neuroscience because they offer a means of inducing variable perception with constant visuo-spatial characteristics (they are often not perceived as faces if viewed upside down). Mooney's original set of 40 stimuli has been employed in several studies. However, it is often necessary to use a much larger stimulus set. We created a new set of over 500 Mooney faces and tested them on a cohort of human observers. We present the results of our tests here, and make the stimuli freely available via the internet. Our test results can be used to select subsets of the stimuli that are most suited for a given experimental purpose."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2018"],["dc.identifier.doi","10.1371/journal.pone.0200106"],["dc.identifier.pmid","29979727"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15302"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57686"],["dc.language.iso","en"],["dc.notes.intern","final"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Mooney face stimuli for visual perception research"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2018Journal Article Research Paper [["dc.bibliographiccitation.firstpage","8680"],["dc.bibliographiccitation.issue","40"],["dc.bibliographiccitation.journal","The Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","8693"],["dc.bibliographiccitation.volume","38"],["dc.contributor.author","Auksztulewicz, Ryszard"],["dc.contributor.author","Schwiedrzik, Caspar M."],["dc.contributor.author","Thesen, Thomas"],["dc.contributor.author","Doyle, Werner"],["dc.contributor.author","Devinsky, Orrin"],["dc.contributor.author","Nobre, Anna C."],["dc.contributor.author","Schroeder, Charles E."],["dc.contributor.author","Friston, Karl J."],["dc.contributor.author","Melloni, Lucia"],["dc.date.accessioned","2020-12-10T18:42:34Z"],["dc.date.available","2020-12-10T18:42:34Z"],["dc.date.issued","2018"],["dc.description.abstract","Using predictions based on environmental regularities is fundamental for adaptive behavior. While it is widely accepted that predictions across different stimulus attributes (e.g., time and content) facilitate sensory processing, it is unknown whether predictions across these attributes rely on the same neural mechanism. Here, to elucidate the neural mechanisms of predictions, we combine invasive electrophysiological recordings (human electrocorticography in 4 females and 2 males) with computational modeling while manipulating predictions about content (\"what\") and time (\"when\"). We found that \"when\" predictions increased evoked activity over motor and prefrontal regions both at early (∼180 ms) and late (430-450 ms) latencies. \"What\" predictability, however, increased evoked activity only over prefrontal areas late in time (420-460 ms). Beyond these dissociable influences, we found that \"what\" and \"when\" predictability interactively modulated the amplitude of early (165 ms) evoked responses in the superior temporal gyrus. We modeled the observed neural responses using biophysically realistic neural mass models, to better understand whether \"what\" and \"when\" predictions tap into similar or different neurophysiological mechanisms. Our modeling results suggest that \"what\" and \"when\" predictability rely on complementary neural processes: \"what\" predictions increased short-term plasticity in auditory areas, whereas \"when\" predictability increased synaptic gain in motor areas. Thus, content and temporal predictions engage complementary neural mechanisms in different regions, suggesting domain-specific prediction signaling along the cortical hierarchy. Encoding predictions through different mechanisms may endow the brain with the flexibility to efficiently signal different sources of predictions, weight them by their reliability, and allow for their encoding without mutual interference.SIGNIFICANCE STATEMENT Predictions of different stimulus features facilitate sensory processing. However, it is unclear whether predictions of different attributes rely on similar or different neural mechanisms. By combining invasive electrophysiological recordings of cortical activity with experimental manipulations of participants' predictions about content and time of acoustic events, we found that the two types of predictions had dissociable influences on cortical activity, both in terms of the regions involved and the timing of the observed effects. Further, our biophysical modeling analysis suggests that predictability of content and time rely on complementary neural processes: short-term plasticity in auditory areas and synaptic gain in motor areas, respectively. This suggests that predictions of different features are encoded with complementary neural mechanisms in different brain regions."],["dc.identifier.doi","10.1523/JNEUROSCI.0369-18.2018"],["dc.identifier.eissn","1529-2401"],["dc.identifier.issn","0270-6474"],["dc.identifier.pmid","30143578"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78008"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.eissn","1529-2401"],["dc.relation.issn","0270-6474"],["dc.relation.issn","1529-2401"],["dc.title","Not All Predictions Are Equal: “What” and “When” Predictions Modulate Activity in Auditory Cortex through Different Mechanisms"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2011-03-15Journal Article Research Paper [["dc.bibliographiccitation.firstpage","4506-11"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences of the United States of America"],["dc.bibliographiccitation.lastpage","4511"],["dc.bibliographiccitation.volume","108"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Singer, Wolf"],["dc.contributor.author","Melloni, Lucia"],["dc.date.accessioned","2020-09-14T07:24:49Z"],["dc.date.available","2020-09-14T07:24:49Z"],["dc.date.issued","2011-03-15"],["dc.description.abstract","Perceptual learning not only improves sensitivity, but it also changes our subjective experience. However, the question of how these two learning effects relate is largely unexplored. Here we investigate how subjects learn to see initially indiscriminable metacontrast-masked shapes. We find that sensitivity and subjective awareness increase with training. However, sensitivity and subjective awareness dissociate in space: Learning effects on performance are lost when the task is performed at an untrained location in another quadrant, whereas learning effects on subjective awareness are maintained. This finding indicates that improvements in shape sensitivity involve visual areas up to V4, whereas changes in subjective awareness involve other brain regions. Furthermore, subjective awareness dissociates from sensitivity in time: In an early phase of perceptual learning, subjects perform above chance on trials that they rate as subjectively invisible. Later, this phenomenon disappears. Subjective awareness is thus neither necessary nor sufficient for achieving above-chance objective performance."],["dc.identifier.doi","10.1073/pnas.1009147108"],["dc.identifier.pmid","21368168"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67675"],["dc.language.iso","en"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.relation.issn","1091-6490"],["dc.title","Subjective and objective learning effects dissociate in space and in time"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2011-01-26Journal Article Research Paper [["dc.bibliographiccitation.firstpage","1386-96"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","The Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","1396"],["dc.bibliographiccitation.volume","31"],["dc.contributor.author","Melloni, Lucia"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Müller, Notger"],["dc.contributor.author","Rodriguez, Eugenio"],["dc.contributor.author","Singer, Wolf"],["dc.date.accessioned","2020-09-14T07:24:42Z"],["dc.date.available","2020-09-14T07:24:42Z"],["dc.date.issued","2011-01-26"],["dc.description.abstract","Previous experience allows the brain to predict what comes next. How these expectations affect conscious experience is poorly understood. In particular, it is unknown whether and when expectations interact with sensory evidence in granting access to conscious perception, and how this is reflected electrophysiologically. Here, we parametrically manipulate sensory evidence and expectations while measuring event-related potentials in human subjects to assess the time course of evoked responses that correlate with subjective visibility, the properties of the stimuli, and/or perceptual expectations. We found that expectations lower the threshold of conscious perception and reduce the latency of neuronal signatures differentiating seen and unseen stimuli. Without expectations, this differentiation occurs ∼300 ms and with expectations ∼200 ms after stimulus in occipitoparietal sensors. The amplitude of this differentiating response component (P2) decreases as visibility increases, regardless of whether this increase is attributable to enhanced sensory evidence and/or the gradual buildup of perceptual expectations. Importantly, at matched performance levels, responses to seen and unseen stimuli differed regardless of the physical stimulus properties. These findings indicate that the latency of the neuronal correlates of access to consciousness depend on whether access is driven by stimulus saliency or by a combination of expectations and sensory evidence."],["dc.identifier.doi","10.1523/JNEUROSCI.4570-10.2011"],["dc.identifier.pmid","21273423"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67674"],["dc.language.iso","en"],["dc.relation.eissn","1529-2401"],["dc.relation.issn","0270-6474"],["dc.relation.issn","1529-2401"],["dc.title","Expectations change the signatures and timing of electrophysiological correlates of perceptual awareness"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI PMID PMC