Author

Alexandra Zankl

Friedrich-Alexander-Universität Erlangen-Nürnberg

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Achim SchillingiD· 3 shared Patrick KraußiD· 3 shared Andreas MaieriD· 2 shared Armine GaribyaniD· 1 shared Claudia Boehm· 1 shared Claus MetzneriD· 1 shared Kishore Surendra· 1 shared Malte R. Henningsen‐SchomersiD· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersNeuroscience

Achim SchillingORCID

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Author profile →

3 papers

Recent·Most cited

Neural Correlates of Linguistic Collocations During Continuous Speech Perception

Armine Garibyan, Achim Schilling, Claudia Boehm, Alexandra Zankl, Patrick Krauß

This study examines EEG responses to collocations in continuous speech, finding distinct N400 patterns compared to non-collocations, varying by brain region and laterality.

Frontiers in Psychology · Dec 23, 2022Peer-reviewedNeuroscience

Intrinsic noise improves speech recognition in a computational model of the auditory pathway

Achim Schilling, Richard Carl Gerum, Alexandra Zankl, Claus Metzner, Andreas Maier, Patrick Krauß

This study shows that intrinsic noise improves speech recognition in a deep neural network model of the auditory pathway, suggesting potential benefits for both biological and machine learning systems.

Frontiers in Neuroscience · Jun 8, 2022Peer-reviewedNeuroscience

Analysis of continuous neuronal activity evoked by natural speech with computational corpus linguistics methods

Achim Schilling, Rosario Tomasello, Malte R. Henningsen‐Schomers, Alexandra Zankl, Kishore Surendra, Martin Haller, Valerie Karl, Peter Uhrig, Andreas Maier, Patrick Krauß

The paper combines natural speech and MEG to create a corpus of speech-evoked neuronal activity using computational corpus linguistics methods.

Language Cognition and Neuroscience · Aug 10, 2020Peer-reviewedNeuroscience