Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Turishcheva, Polina"'
Understanding how the brain processes dynamic natural stimuli remains a fundamental challenge in neuroscience. Current dynamic neural encoding models either take stimuli as input but ignore shared variability in neural responses, or they model this v
Externí odkaz:
http://arxiv.org/abs/2410.16136
Driven by advances in recording technology, large-scale high-dimensional datasets have emerged across many scientific disciplines. Especially in biology, clustering is often used to gain insights into the structure of such datasets, for instance to u
Externí odkaz:
http://arxiv.org/abs/2410.16124
Autor:
Turishcheva, Polina, Fahey, Paul G., Vystrčilová, Michaela, Hansel, Laura, Froebe, Rachel, Ponder, Kayla, Qiu, Yongrong, Willeke, Konstantin F., Bashiri, Mohammad, Baikulov, Ruslan, Zhu, Yu, Ma, Lei, Yu, Shan, Huang, Tiejun, Li, Bryan M., De Wulf, Wolf, Kudryashova, Nina, Hennig, Matthias H., Rochefort, Nathalie L., Onken, Arno, Wang, Eric, Ding, Zhiwei, Tolias, Andreas S., Sinz, Fabian H., Ecker, Alexander S
Understanding how biological visual systems process information is challenging because of the nonlinear relationship between visual input and neuronal responses. Artificial neural networks allow computational neuroscientists to create predictive mode
Externí odkaz:
http://arxiv.org/abs/2407.09100
Deep predictive models of neuronal activity have recently enabled several new discoveries about the selectivity and invariance of neurons in the visual cortex. These models learn a shared set of nonlinear basis functions, which are linearly combined
Externí odkaz:
http://arxiv.org/abs/2406.12625
Autor:
Turishcheva, Polina, Ramapuram, Jason, Williamson, Sinead, Busbridge, Dan, Dhekane, Eeshan, Webb, Russ
Publikováno v:
NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice
Understanding model uncertainty is important for many applications. We propose Bootstrap Your Own Variance (BYOV), combining Bootstrap Your Own Latent (BYOL), a negative-free Self-Supervised Learning (SSL) algorithm, with Bayes by Backprop (BBB), a B
Externí odkaz:
http://arxiv.org/abs/2312.03213
Autor:
Turishcheva, Polina, Fahey, Paul G., Hansel, Laura, Froebe, Rachel, Ponder, Kayla, Vystrčilová, Michaela, Willeke, Konstantin F., Bashiri, Mohammad, Wang, Eric, Ding, Zhiwei, Tolias, Andreas S., Sinz, Fabian H., Ecker, Alexander S.
Understanding how biological visual systems process information is challenging due to the complex nonlinear relationship between neuronal responses and high-dimensional visual input. Artificial neural networks have already improved our understanding
Externí odkaz:
http://arxiv.org/abs/2305.19654
Autor:
Turishcheva P; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Fahey PG; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Vystrčilová M; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Hansel L; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Froebe R; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Ponder K; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, USA., Qiu Y; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Willeke KF; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; International Max Planck Research School for Intelligent Systems, Tübingen, Germany.; Institute for Bioinformatics and Medical Informatics, Tübingen University, Germany., Bashiri M; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; International Max Planck Research School for Intelligent Systems, Tübingen, Germany.; Institute for Bioinformatics and Medical Informatics, Tübingen University, Germany., Baikulov R; lRomul, Russia., Zhu Y; Institute of Automation, Chinese Academy of Sciences, China.; Beijing Academy of Artificial Intelligence, China., Ma L; Beijing Academy of Artificial Intelligence, China., Yu S; Institute of Automation, Chinese Academy of Sciences, China., Huang T; Beijing Academy of Artificial Intelligence, China., Li BM; The Alan Turing Institute, UK.; School of Informatics, University of Edinburgh, UK., Wulf W; School of Informatics, University of Edinburgh, UK., Kudryashova N; School of Informatics, University of Edinburgh, UK., Hennig MH; School of Informatics, University of Edinburgh, UK., Rochefort NL; Centre for Discovery Brain Sciences, University of Edinburgh, UK.; Simons Initiative for the Developing Brain, University of Edinburgh, UK., Onken A; School of Informatics, University of Edinburgh, UK., Wang E; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, USA., Ding Z; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, USA., Tolias AS; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US.; Department of Electrical Engineering, Stanford University, Stanford, CA, US., Sinz FH; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; Department of Neuroscience & Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, USA.; International Max Planck Research School for Intelligent Systems, Tübingen, Germany.; Institute for Bioinformatics and Medical Informatics, Tübingen University, 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 Jul 12. Date of Electronic Publication: 2024 Jul 12.
Autor:
Turishcheva P; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, 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.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Vystrčilová M; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Hansel L; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany., Froebe R; 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 Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Ponder K; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA., Qiu Y; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US., Willeke KF; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US.; International Max Planck Research School for Intelligent Systems, University of Tübingen, Germany.; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Germany., Bashiri M; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; International Max Planck Research School for Intelligent Systems, University of Tübingen, Germany.; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Germany., Wang E; 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., 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 Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford, CA, US.; Stanford Bio-X, Stanford University, Stanford, CA, US.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, US.; Department of Electrical Engineering, Stanford University, Stanford, CA, US., Sinz FH; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany.; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; International Max Planck Research School for Intelligent Systems, University of Tübingen, Germany.; Institute for Bioinformatics and Medical Informatics, 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 Jul 12. Date of Electronic Publication: 2024 Jul 12.