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pro vyhledávání: '"Ehrlich, David A."'
Autor:
Schneider, Andreas C., Neuhaus, Valentin, Ehrlich, David A., Makkeh, Abdullah, Ecker, Alexander S., Priesemann, Viola, Wibral, Michael
In modern deep neural networks, the learning dynamics of the individual neurons is often obscure, as the networks are trained via global optimization. Conversely, biological systems build on self-organized, local learning, achieving robustness and ef
Externí odkaz:
http://arxiv.org/abs/2412.02482
Autor:
Ehrlich, David A., Schick-Poland, Kyle, Makkeh, Abdullah, Lanfermann, Felix, Wollstadt, Patricia, Wibral, Michael
Describing statistical dependencies is foundational to empirical scientific research. For uncovering intricate and possibly non-linear dependencies between a single target variable and several source variables within a system, a principled and versat
Externí odkaz:
http://arxiv.org/abs/2311.06373
Autor:
Makkeh, Abdullah, Graetz, Marcel, Schneider, Andreas C., Ehrlich, David A., Priesemann, Viola, Wibral, Michael
Despite the impressive performance of biological and artificial networks, an intuitive understanding of how their local learning dynamics contribute to network-level task solutions remains a challenge to this date. Efforts to bring learning to a more
Externí odkaz:
http://arxiv.org/abs/2306.02149
Autor:
Ehrlich, David A., Schneider, Andreas C., Priesemann, Viola, Wibral, Michael, Makkeh, Abdullah
Publikováno v:
Transactions on Machine Learning Research (TMLR), 05/2023
In neural networks, task-relevant information is represented jointly by groups of neurons. However, the specific way in which this mutual information about the classification label is distributed among the individual neurons is not well understood: W
Externí odkaz:
http://arxiv.org/abs/2209.10438
Autor:
Ehrlich, David, Szech, Nora
We study the influence of social messages that promote a digital public good, a COVID-19 tracing app. We vary whether subjects receive a digital message from another subject, and, if so, at what cost it came. Observed maximum willingness to invest in
Externí odkaz:
http://arxiv.org/abs/2209.01345
Autor:
Elleman, Anna V., Milicic, Nikola, Williams, Damian J., Simko, Jane, Liu, Christine J., Haynes, Allison L., Ehrlich, David E., Makinson, Christopher D., Du Bois, J.
Publikováno v:
In Cell Chemical Biology 18 July 2024 31(7):1324-1335
Autor:
Meyer, Tobias, Ehrlich, David A., Pichler, Peter, Titova, Valeriya, Flathmann, Christoph, Schmidt, Jan, Seibt, Michael
The light absorption of [001] grown single-crystalline silicon wafers can be enhanced by chemical etching with potassium hydroxide resulting in a pyramid-like surface texture. Alongside this advantageous property in the context of solar energy conver
Externí odkaz:
http://arxiv.org/abs/2109.00586
Akademický článek
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Publikováno v:
In Current Biology 20 November 2023 33(22):4917-4925
Akademický článek
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