Zobrazeno 1 - 10
of 493
pro vyhledávání: '"Fahey, Paul"'
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
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
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:
Willeke, Konstantin F., Fahey, Paul G., Bashiri, Mohammad, Pede, Laura, Burg, Max F., Blessing, Christoph, Cadena, Santiago A., Ding, Zhiwei, Lurz, Konstantin-Klemens, Ponder, Kayla, Muhammad, Taliah, Patel, Saumil S., Ecker, Alexander S., Tolias, Andreas S., Sinz, Fabian H.
The neural underpinning of the biological visual system is challenging to study experimentally, in particular as the neuronal activity becomes increasingly nonlinear with respect to visual input. Artificial neural networks (ANNs) can serve a variety
Externí odkaz:
http://arxiv.org/abs/2206.08666
Publikováno v:
In Personalized Medicine in Psychiatry November-December 2024 47-48
Autor:
Fahey, Paul Alan
Publikováno v:
African American Review. Spring/Summer 2011, Vol. 44 Issue 1/2, p271-278. 8p.
Autor:
Ecker, Alexander S., Sinz, Fabian H., Froudarakis, Emmanouil, Fahey, Paul G., Cadena, Santiago A., Walker, Edgar Y., Cobos, Erick, Reimer, Jacob, Tolias, Andreas S., Bethge, Matthias
Classical models describe primary visual cortex (V1) as a filter bank of orientation-selective linear-nonlinear (LN) or energy models, but these models fail to predict neural responses to natural stimuli accurately. Recent work shows that models base
Externí odkaz:
http://arxiv.org/abs/1809.10504
Autor:
Buchanan, E. Kelly, Kinsella, Ian, Zhou, Ding, Zhu, Rong, Zhou, Pengcheng, Gerhard, Felipe, Ferrante, John, Ma, Ying, Kim, Sharon, Shaik, Mohammed, Liang, Yajie, Lu, Rongwen, Reimer, Jacob, Fahey, Paul, Muhammad, Taliah, Dempsey, Graham, Hillman, Elizabeth, Ji, Na, Tolias, Andreas, Paninski, Liam
Calcium imaging has revolutionized systems neuroscience, providing the ability to image large neural populations with single-cell resolution. The resulting datasets are quite large, which has presented a barrier to routine open sharing of this data,
Externí odkaz:
http://arxiv.org/abs/1807.06203
Publikováno v:
Family Medicine & Community Health. Sep2023, Vol. 11 Issue 3, p1-11. 11p.
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