Ina Bornkessel-Schlesewsky
Affiliations: | Neurotypology | MPI Human Cognitive and Brain Sciences |
Area:
Psycholinguistics, cross-linguistic sentence processingWebsite:
http://www.cbs.mpg.de/alumni/bornke-841Google:
"Ina Bornkessel-Schlesewsky"Parents
Sign in to add mentor| Gisbert Fanselow | grad student | 2002 | Universität Potsdam |
| Angela D. Friederici | grad student | 2002 | Universität Potsdam |
Children
Sign in to add trainee| Zachariah Reuben Cross | grad student | (Neurotree) | |
| Sarah Tune | grad student | (Neurotree) | |
| Katerina D. Kandylaki | grad student | 2015 | Imperial College London |
BETA: Related publications
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Publications
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| Jano S, Cross Z, Chatburn A, et al. (2024) Prior Context and Individual Alpha Frequency Influence Predictive Processing during Language Comprehension. Journal of Cognitive Neuroscience. 1-39 |
| Huber E, Sauppe S, Isasi-Isasmendi A, et al. (2024) Surprisal From Language Models Can Predict ERPs in Processing Predicate-Argument Structures Only if Enriched by an Agent Preference Principle. Neurobiology of Language (Cambridge, Mass.). 5: 167-200 |
| Sauppe S, Naess Å, Roversi G, et al. (2023) An Agent-First Preference in a Patient-First Language During Sentence Comprehension. Cognitive Science. 47: e13340 |
| Dziego CA, Bornkessel-Schlesewsky I, Jano S, et al. (2023) Neural and cognitive correlates of performance in dynamic multi-modal settings. Neuropsychologia. 180: 108483 |
| Cross ZR, Chatburn A, Melberzs L, et al. (2022) Task-related, intrinsic oscillatory and aperiodic neural activity predict performance in naturalistic team-based training scenarios. Scientific Reports. 12: 16172 |
| Bornkessel-Schlesewsky I, Sharrad I, Howlett CA, et al. (2022) Rapid adaptation of predictive models during language comprehension: Aperiodic EEG slope, individual alpha frequency and idea density modulate individual differences in real-time model updating. Frontiers in Psychology. 13: 817516 |
| Cross ZR, Corcoran AW, Schlesewsky M, et al. (2022) Oscillatory and Aperiodic Neural Activity Jointly Predict Language Learning. Journal of Cognitive Neuroscience. 1-20 |
| Egurtzegi A, Blasi DE, Bornkessel-Schlesewsky I, et al. (2022) Cross-linguistic differences in case marking shape neural power dynamics and gaze behavior during sentence planning. Brain and Language. 230: 105127 |
| Immink MA, Cross ZR, Chatburn A, et al. (2021) Resting-state aperiodic neural dynamics predict individual differences in visuomotor performance and learning. Human Movement Science. 78: 102829 |
| Sauppe S, Choudhary KK, Giroud N, et al. (2021) Neural signatures of syntactic variation in speech planning. Plos Biology. 19: e3001038 |