Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Walker, Edgar Y."'
Autor:
Pohl, Stephan, Walker, Edgar Y., Barack, David L., Lee, Jennifer, Denison, Rachel N., Block, Ned, Meyniel, Florent, Ma, Wei Ji
This paper develops a systematic framework for the evidence neuroscientists use to establish whether a neural response represents a feature. Researchers try to establish that the neural response is (1) sensitive and (2) specific to the feature, (3) i
Externí odkaz:
http://arxiv.org/abs/2403.14046
Autor:
Walker, Edgar Y, Pohl, Stephan, Denison, Rachel N, Barack, David L, Lee, Jennifer, Block, Ned, Ma, Wei Ji, Meyniel, Florent
The study of the brain's representations of uncertainty is a central topic in neuroscience. Unlike most quantities of which the neural representation is studied, uncertainty is a property of an observer's beliefs about the world, which poses specific
Externí odkaz:
http://arxiv.org/abs/2202.04324
Autor:
Li, Zhe, Brendel, Wieland, Walker, Edgar Y., Cobos, Erick, Muhammad, Taliah, Reimer, Jacob, Bethge, Matthias, Sinz, Fabian H., Pitkow, Xaq, Tolias, Andreas S.
Despite impressive performance on numerous visual tasks, Convolutional Neural Networks (CNNs) --- unlike brains --- are often highly sensitive to small perturbations of their input, e.g. adversarial noise leading to erroneous decisions. We propose to
Externí odkaz:
http://arxiv.org/abs/1911.05072
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
The relational data model offers unrivaled rigor and precision in defining data structure and querying complex data. Yet the use of relational databases in scientific data pipelines is limited due to their perceived unwieldiness. We propose a simplif
Externí odkaz:
http://arxiv.org/abs/1807.11104
Akademický článek
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Autor:
International Brain Laboratory, Bonacchi, Niccolò, Chapuis, Gaelle A, Churchland, Anne K, DeWitt, Eric EJ, Faulkner, Mayo, Harris, Kenneth D, Huntenburg, Julia M, Hunter, Max, Laranjeira, Inês C, Rossant, Cyrille, Sasaki, Maho, Schartner, Michael M, Shen, Shan, Steinmetz, Nicholas A, Walker, Edgar Y, West, Steven J, Winter, Olivier, Wells, Miles J
Publikováno v:
Nature Methods
Nature methods, vol 20, iss 3
Nature methods, vol 20, iss 3
We describe an architecture for organizing, integrating and sharing neurophysiology data within a single laboratory or across a group of collaborators. It comprises a database linking data files to metadata and electronic laboratory notes; a module c
Akademický článek
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Akademický článek
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Autor:
Bonacchi, Niccolò, Chapuis, Gaelle, Churchland, Anne, Harris, Kenneth D., Hunter, Max, Rossant, Cyrille, Sasaki, Maho, Shen, Shan, Steinmetz, Nicholas A., Walker, Edgar Y., Winter, Olivier, Wells, Miles
The International Brain laboratory (IBL) is a collaboration aiming to understand the neural basis of decision-making. Ten experimental labs use multiple neural recording modalities in diverse brain structures of mice making perceptual decisions. A pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f0bcd4670be1c9ae4a933c141acff5