Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Santiago A. Cadena"'
Autor:
Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, George Denfield, Fabian H. Sinz, Matthias Bethge, Andreas S. Tolias, Alexander S. Ecker
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/428f04fa35c14e74a93bc497e6f1f3ec
Autor:
Max F Burg, Santiago A Cadena, George H Denfield, Edgar Y Walker, Andreas S Tolias, Matthias Bethge, Alexander S Ecker
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009028 (2021)
Divisive normalization (DN) is a prominent computational building block in the brain that has been proposed as a canonical cortical operation. Numerous experimental studies have verified its importance for capturing nonlinear neural response properti
Externí odkaz:
https://doaj.org/article/dfa26c35feb347a19ccdb479c8562643
Autor:
Konstantin F. Willeke, Kelli Restivo, Katrin Franke, Arne F. Nix, Santiago A. Cadena, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil Patel, Alexander S. Ecker, Fabian H. Sinz, Andreas S. Tolias
Deciphering the brain’s structure-function relationship is key to understanding the neuronal mechanisms underlying perception and cognition. The cortical column, a vertical organization of neurons with similar functions, is a classic example of pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66ae35dd1030b3950c06b9849b7fb904
https://doi.org/10.1101/2023.05.12.540591
https://doi.org/10.1101/2023.05.12.540591
Autor:
Zhiwei Ding, Dat T. Tran, Kayla Ponder, Erick Cobos, Zhuokun Ding, Paul G. Fahey, Eric Wang, Taliah Muhammad, Jiakun Fu, Santiago A. Cadena, Stelios Papadopoulos, Saumil Patel, Katrin Franke, Jacob Reimer, Fabian H. Sinz, Alexander S. Ecker, Xaq Pitkow, Andreas S. Tolias
Publikováno v:
bioRxiv
A defining characteristic of intelligent systems, whether natural or artificial, is the ability to generalize and infer behaviorally relevant latent causes from high-dimensional sensory input, despite significant variations in the environment. To und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b9d78a0dc125e482f33f5bf53a8d78d
https://doi.org/10.1101/2023.03.15.532836
https://doi.org/10.1101/2023.03.15.532836
Autor:
Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, George Denfield, Fabian H. Sinz, Matthias Bethge, Andreas S. Tolias, Alexander S. Ecker
Responses to natural stimuli in area V4 – a mid-level area of the visual ventral stream – are well predicted by features from convolutional neural networks (CNNs) trained on image classification. This result has been taken as evidence for the fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f1463d94afe28f423d8d114433ef126
https://doi.org/10.1101/2022.05.18.492503
https://doi.org/10.1101/2022.05.18.492503
Autor:
Ivan Ustyuzhaninov, Max F. Burg, Santiago A. Cadena, Jiakun Fu, Taliah Muhammad, Kayla Ponder, Emmanouil Froudarakis, Zhiwei Ding, Matthias Bethge, Andreas S. Tolias, Alexander S. Ecker
More than a dozen excitatory cell types have been identified in the mouse primary visual cortex (V1) based on transcriptomic, morphological and in vitro electrophysiological features. However, the functional landscape of excitatory neurons with respe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::face365308d00d744f6348e27bf18488
https://doi.org/10.1101/2022.02.10.479884
https://doi.org/10.1101/2022.02.10.479884
Autor:
Andreas S. Tolias, Konstantin F. Willeke, Alexander S. Ecker, Santiago A. Cadena, Eric Wang, Fabian H. Sinz, Erick Cobos, Konstantin-Klemens Lurz, Mohammad Ali Bashiri, Akshay Kumar Jagadish, Taliah Muhammad, Edgar Y. Walker
Publikováno v:
Ninth International Conference on Learning Representations (ICLR 2021)
Deep neural networks (DNN) have set new standards at predicting responses of neural populations to visual input. Most such DNNs consist of a convolutional network (core) shared across all neurons which learns a representation of neural computation in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cb7581b1b58d5be72a0cb6085df50f3
https://hdl.handle.net/21.11116/0000-000B-1E0E-6
https://hdl.handle.net/21.11116/0000-000B-1E0E-6
Autor:
Ariovaldo Bolzan, Santiago Esmiro Cadena-Carrera, José Roberto Santin, Roberta Nunes, Marintho Bastos Quadri, Deise Parolo Tramontin, Jamil Assreuy
Publikováno v:
J Food Sci Technol
Jackfruit seeds are an underestimate residue having important biological activity such as anti-inflammatory, cytotoxicity and antimicrobial effects. However few researches have been done for this material using alternative extraction technologies, so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81b23aa3859e9d7541eb4c09693d8e1d
https://europepmc.org/articles/PMC8292543/
https://europepmc.org/articles/PMC8292543/
Autor:
Max F, Burg, Santiago A, Cadena, George H, Denfield, Edgar Y, Walker, Andreas S, Tolias, Matthias, Bethge, Alexander S, Ecker
Publikováno v:
PLoS Computational Biology
Divisive normalization (DN) is a prominent computational building block in the brain that has been proposed as a canonical cortical operation. Numerous experimental studies have verified its importance for capturing nonlinear neural response properti
Autor:
Edgar Y. Walker, Alexander S. Ecker, Max F. Günthner, Santiago A. Cadena, Andreas S. Tolias, George H. Denfield, Matthias Bethge
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009028 (2021)
Divisive normalization (DN) is a prominent computational building block in the brain that has been proposed as a canonical cortical operation. Numerous experimental studies have verified its importance for capturing nonlinear neural response properti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30aa7efc6c6b00935aae12367765ec99