Zobrazeno 1 - 10
of 1 480
pro vyhledávání: '"Hamprecht, F. A."'
Publikováno v:
Journal of Chemical Physics; 10/14/2023, Vol. 159 Issue 14, p1-13, 13p
Autor:
Kirschbaum, E., Haußmann, M., Wolf, S., Sonntag, H., Schneider, J., Elzoheiry, S., Oliver Kann, Durstewitz, D., Hamprecht, F. A.
Publikováno v:
Scopus-Elsevier
Neuronal assemblies, loosely defined as subsets of neurons with reoccurring spatio-temporally coordinated activation patterns, or "motifs", are thought to be building blocks of neural representations and information processing. We here propose LeMoNA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::206a769a5f0eefd11274582c0b7fb792
http://arxiv.org/abs/1806.09963
http://arxiv.org/abs/1806.09963
Publikováno v:
University of Southern Denmark
Scopus-Elsevier
Scopus-Elsevier
We propose a new Bayesian Neural Net formulation that affords variational inference for which the evidence lower bound is analytically tractable subject to a tight approximation. We achieve this tractability by (i) decomposing ReLU nonlinearities int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbf6c9df445e382b7659bc8411365c5e
Akademický článek
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Autor:
Demir, Kubilay Timur1,2,3 (AUTHOR) david.greenberg@hereon.de, Logemann, Kai1 (AUTHOR), Greenberg, David S.2,3 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Nov2024, Vol. 12 Issue 21, p3315. 30p.
We present an approach for the automatic reconstruction of neurons from 3D stacks of electron microscopy sections. The core of our system is a set of possible assignments each of which proposes with some cost a link between neuron regions in consecut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=snsf_p3_pubs::f27839f5720b35e691c33b10e921d69a
http://www.zora.uzh.ch/75312/1/Funke_et_al_Efficient_automatic_3D-reconstruction.pdf
http://www.zora.uzh.ch/75312/1/Funke_et_al_Efficient_automatic_3D-reconstruction.pdf
Autor:
Kochetov, Bogdan1,2, Bell, Phoenix D.3,4, Garcia, Paulo S.3, Shalaby, Akram S.5, Raphael, Rebecca1,2, Raymond, Benjamin6, Leibowitz, Brian J.2,7, Schoedel, Karen3, Brand, Rhonda M.8,9, Brand, Randall E.2,8, Yu, Jian10, Zhang, Lin10, Diergaarde, Brenda2,11, Schoen, Robert E.8, Singhi, Aatur3, Uttam, Shikhar1,2 shf28@pitt.edu
Publikováno v:
Communications Biology. 8/30/2024, Vol. 7 Issue 1, p1-14. 14p.
Autor:
Bao, Yijun1,2 (AUTHOR) bao-yijun@zju.edu.cn, Gong, Yiyang1,3,4 (AUTHOR) yiyang-gong@ouhsc.edu
Publikováno v:
Communications Biology. 8/9/2024, Vol. 7 Issue 1, p1-16. 16p.
This article presents a new search algorithm for the NP-hard problem of optimizing functions of binary variables that decompose according to a graphical model. It can be applied to models of any order and structure. The main novelty is a technique to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::a774c300142b72e2394d376f966327bb
https://hdl.handle.net/11858/00-001M-0000-0017-96DD-F11858/00-001M-0000-0017-96EE-9
https://hdl.handle.net/11858/00-001M-0000-0017-96DD-F11858/00-001M-0000-0017-96EE-9
Segmentation is often an essential intermediate step in image analysis. A volume segmentation characterizes the underlying volume image in terms of geometric information--segments, faces between segments, curves in which several faces meet--as well a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::8960e4e26cc91e006bf15f14754c7808
https://hdl.handle.net/11858/00-001M-0000-0018-9A86-F11858/00-001M-0000-0018-9A9E-C
https://hdl.handle.net/11858/00-001M-0000-0018-9A86-F11858/00-001M-0000-0018-9A9E-C