Most discriminative stimuli for functional cell type clustering

Autor: Burg, Max F., Zenkel, Thomas, Vystrčilová, Michaela, Oesterle, Jonathan, Höfling, Larissa, Willeke, Konstantin F., Lause, Jan, Müller, Sarah, Fahey, Paul G., Ding, Zhiwei, Restivo, Kelli, Sridhar, Shashwat, Gollisch, Tim, Berens, Philipp, Tolias, Andreas S., Euler, Thomas, Bethge, Matthias, Ecker, Alexander S.

Identifying cell types and understanding their functional properties is crucial for unraveling the mechanisms underlying perception and cognition. In the retina, functional types can be identified by carefully selected stimuli, but this requires expe

Externí odkaz: http://arxiv.org/abs/2401.05342

Adding Interpretable Attention to Neural Translation Models Improves Word Alignment

Autor: Zenkel, Thomas, Wuebker, Joern, DeNero, John

Multi-layer models with multiple attention heads per layer provide superior translation quality compared to simpler and shallower models, but determining what source context is most relevant to each target word is more challenging as a result. Theref

Externí odkaz: http://arxiv.org/abs/1901.11359

Comparison of Decoding Strategies for CTC Acoustic Models

Autor: Zenkel, Thomas, Sanabria, Ramon, Metze, Florian, Niehues, Jan, Sperber, Matthias, Stüker, Sebastian, Waibel, Alex

Connectionist Temporal Classification has recently attracted a lot of interest as it offers an elegant approach to building acoustic models (AMs) for speech recognition. The CTC loss function maps an input sequence of observable feature vectors to an

Externí odkaz: http://arxiv.org/abs/1708.04469

Most discriminative stimuli for functional cell type clustering.

Autor: Burg MF; International Max Planck Research School for Intelligent Systems, Tübingen, Germany.; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; Tübingen AI Center, University of Tübingen, Germany., Zenkel T; Institute of Ophthalmic Research, University of Tübingen, Germany.; Centre for Integrative Neuroscience, University of Tübingen, Germany., Vystrčilová M; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Oesterle J; Institute of Ophthalmic Research, University of Tübingen, Germany.; Centre for Integrative Neuroscience, University of Tübingen, Germany., Höfling L; Institute of Ophthalmic Research, University of Tübingen, Germany.; Centre for Integrative Neuroscience, University of Tübingen, Germany., Willeke KF; International Max Planck Research School for Intelligent Systems, Tübingen, Germany.; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; Institute for Bioinformatics and Medical Informatics, Tübingen University, Germany., Lause J; Tübingen AI Center, University of Tübingen, Germany.; Hertie Institute for AI in Brain Health, University of Tübingen, Germany., Müller S; International Max Planck Research School for Intelligent Systems, Tübingen, Germany.; Tübingen AI Center, University of Tübingen, Germany.; Hertie Institute for AI in Brain Health, University of Tübingen, Germany., Fahey PG; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Ding Z; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Restivo K; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Sridhar S; University Medical Center Göttingen, Department of Ophthalmology, Germany.; Bernstein Center for Computational Neuroscience Göttingen, Germany., Gollisch T; University Medical Center Göttingen, Department of Ophthalmology, Germany.; Bernstein Center for Computational Neuroscience Göttingen, Germany.; Cluster of Excellence 'Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells' (MBExC), University of Göttingen, Germany., Berens P; Tübingen AI Center, University of Tübingen, Germany.; Hertie Institute for AI in Brain Health, University of Tübingen, Germany., Tolias AS; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA., Euler T; Institute of Ophthalmic Research, University of Tübingen, Germany.; Centre for Integrative Neuroscience, University of Tübingen, Germany., Bethge M; Tübingen AI Center, University of Tübingen, Germany.; Centre for Integrative Neuroscience, University of Tübingen, Germany., Ecker AS; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.

Publikováno v: ArXiv [ArXiv] 2024 Mar 14. Date of Electronic Publication: 2024 Mar 14.