Schwiedrzik, Caspar

[["dc.bibliographiccitation.firstpage","ENEURO.0032-21.2021"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","eneuro"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Feulner, Barbara"],["dc.contributor.author","Postin, Danilo"],["dc.contributor.author","Schwiedrzik, Caspar M."],["dc.contributor.author","Pooresmaeili, Arezoo"],["dc.date.accessioned","2022-10-06T13:26:24Z"],["dc.date.available","2022-10-06T13:26:24Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1523/ENEURO.0032-21.2021"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/115076"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-602"],["dc.relation.eissn","2373-2822"],["dc.relation.orgunit","Deutsches Primatenzentrum"],["dc.title","Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["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"]]

[["dc.bibliographiccitation.firstpage","2960-6"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","The Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","2966"],["dc.bibliographiccitation.volume","30"],["dc.contributor.author","Alink, Arjen"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Kohler, Axel"],["dc.contributor.author","Singer, Wolf"],["dc.contributor.author","Muckli, Lars"],["dc.date.accessioned","2020-09-14T07:24:30Z"],["dc.date.available","2020-09-14T07:24:30Z"],["dc.date.issued","2010-02-24"],["dc.description.abstract","In this functional magnetic resonance imaging study we tested whether the predictability of stimuli affects responses in primary visual cortex (V1). The results of this study indicate that visual stimuli evoke smaller responses in V1 when their onset or motion direction can be predicted from the dynamics of surrounding illusory motion. We conclude from this finding that the human brain anticipates forthcoming sensory input that allows predictable visual stimuli to be processed with less neural activation at early stages of cortical processing."],["dc.identifier.doi","10.1523/JNEUROSCI.3730-10.2010"],["dc.identifier.pmid","20181593"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67673"],["dc.language.iso","en"],["dc.relation.eissn","1529-2401"],["dc.relation.issn","0270-6474"],["dc.relation.issn","1529-2401"],["dc.title","Stimulus predictability reduces responses in primary visual cortex"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["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"]]

[["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"]]

[["dc.bibliographiccitation.artnumber","118082"],["dc.bibliographiccitation.firstpage","118082"],["dc.bibliographiccitation.journal","NeuroImage"],["dc.bibliographiccitation.lastpage","118082"],["dc.bibliographiccitation.volume","236"],["dc.contributor.author","Autio, Joonas A."],["dc.contributor.author","Zhu, Qi"],["dc.contributor.author","Li, Xiaolian"],["dc.contributor.author","Glasser, Matthew F."],["dc.contributor.author","Schwiedrzik, Caspar M."],["dc.contributor.author","Fair, Damien A."],["dc.contributor.author","Zimmermann, Jan"],["dc.contributor.author","Yacoub, Essa"],["dc.contributor.author","Menon, Ravi S."],["dc.contributor.author","Van Essen, David C."],["dc.contributor.author","Vanduffel, Wim"],["dc.date.accessioned","2022-10-06T13:33:18Z"],["dc.date.available","2022-10-06T13:33:18Z"],["dc.date.issued","2021"],["dc.description.sponsorship"," http://dx.doi.org/10.13039/501100001691 Japan Society for the Promotion of Science"],["dc.description.sponsorship"," http://dx.doi.org/10.13039/100009619 Japan Agency for Medical Research and Development"],["dc.identifier.doi","10.1016/j.neuroimage.2021.118082"],["dc.identifier.pii","S1053811921003591"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17868"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/115602"],["dc.language","eng"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-602"],["dc.relation.issn","1053-8119"],["dc.relation.orgunit","Deutsches Primatenzentrum"],["dc.rights.access","openAccess"],["dc.rights.uri","https://www.elsevier.com/tdm/userlicense/1.0/"],["dc.subject","MRI; Multi-site; Non-human primate; PRIME-DE; Standardization"],["dc.subject.ddc","612"],["dc.title","Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e1002245"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","PLoS Biology"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Zarco, Wilbert"],["dc.contributor.author","Everling, Stefan"],["dc.contributor.author","Freiwald, Winrich A"],["dc.date.accessioned","2020-09-14T07:25:12Z"],["dc.date.available","2020-09-14T07:25:12Z"],["dc.date.issued","2015"],["dc.description.abstract","Faces transmit a wealth of social information. How this information is exchanged between face-processing centers and brain areas supporting social cognition remains largely unclear. Here we identify these routes using resting state functional magnetic resonance imaging in macaque monkeys. We find that face areas functionally connect to specific regions within frontal, temporal, and parietal cortices, as well as subcortical structures supporting emotive, mnemonic, and cognitive functions. This establishes the existence of an extended face-recognition system in the macaque. Furthermore, the face patch resting state networks and the default mode network in monkeys show a pattern of overlap akin to that between the social brain and the default mode network in humans: this overlap specifically includes the posterior superior temporal sulcus, medial parietal, and dorsomedial prefrontal cortex, areas supporting high-level social cognition in humans. Together, these results reveal the embedding of face areas into larger brain networks and suggest that the resting state networks of the face patch system offer a new, easily accessible venue into the functional organization of the social brain and into the evolution of possibly uniquely human social skills."],["dc.identifier.doi","10.1371/journal.pbio.1002245"],["dc.identifier.pmid","26348613"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67678"],["dc.language.iso","en"],["dc.relation.eissn","1545-7885"],["dc.relation.issn","1545-7885"],["dc.title","Face Patch Resting State Networks Link Face Processing to Social Cognition"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["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"]]

[["dc.contributor.author","Schwiedrzik, Caspar M."],["dc.contributor.editor","Metzinger, Thomas K."],["dc.contributor.editor","Windt, Jennifer M."],["dc.date.accessioned","2020-09-14T07:40:10Z"],["dc.date.available","2020-09-14T07:40:10Z"],["dc.date.issued","2015"],["dc.description.abstract","The prefrontal cortex is perhaps one of the most intriguing areas of the brain, and considered by many to be involved in a whole battery of higher cognitive functions. However, evidence for a direct involvement in conscious perception, although often postulated, remains inconclusive. In his paper, John-Dylan Haynes presents results from experiments using multivariate decoding techniques on human functional magnetic resonance imaging data that speak against the assertion that prefrontal cortex broadcasts the contents of consciousness throughout the brain. I consider potential reasons for these null results, as well as where else we may look for the neural correlates of consciousness. Specifically, I propose that conscious perception arises when distributed neurons are bound into coherent assemblies —a process that does not require relay through specific brain areas."],["dc.identifier.doi","10.15502/9783958570412"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67688"],["dc.language.iso","en"],["dc.publisher","MIND Group"],["dc.publisher.place","Frankfurt am Main"],["dc.relation.isbn","9783958570412"],["dc.relation.ispartof","Open MIND"],["dc.title","What’s up with Prefrontal Cortex?"],["dc.type","book_chapter"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","89-97.e4"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Neuron"],["dc.bibliographiccitation.lastpage","97.e4"],["dc.bibliographiccitation.volume","96"],["dc.contributor.author","Schwiedrzik, Caspar M"],["dc.contributor.author","Freiwald, Winrich A"],["dc.date.accessioned","2020-09-14T07:25:23Z"],["dc.date.available","2020-09-14T07:25:23Z"],["dc.date.issued","2017-09-27"],["dc.description.abstract","Theories like predictive coding propose that lower-order brain areas compare their inputs to predictions derived from higher-order representations and signal their deviation as a prediction error. Here, we investigate whether the macaque face-processing system, a three-level hierarchy in the ventral stream, employs such a coding strategy. We show that after statistical learning of specific face sequences, the lower-level face area ML computes the deviation of actual from predicted stimuli. But these signals do not reflect the tuning characteristic of ML. Rather, they exhibit identity specificity and view invariance, the tuning properties of higher-level face areas AL and AM. Thus, learning appears to endow lower-level areas with the capability to test predictions at a higher level of abstraction than what is afforded by the feedforward sweep. These results provide evidence for computational architectures like predictive coding and suggest a new quality of functional organization of information-processing hierarchies beyond pure feedforward schemes."],["dc.identifier.doi","10.1016/j.neuron.2017.09.007"],["dc.identifier.pmid","28957679"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67680"],["dc.language.iso","en"],["dc.relation.eissn","1097-4199"],["dc.relation.issn","0896-6273"],["dc.title","High-Level Prediction Signals in a Low-Level Area of the Macaque Face-Processing Hierarchy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]