Zobrazeno 1 - 10
of 43
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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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
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
Multi-dimensional arrays are among the most fundamental and most useful data structures of all. In C++, excellent template libraries exist for arrays whose dimension is fixed at runtime. Arrays whose dimension can change at runtime have been implemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::9b1a368ba44ae64bc72031303fcd2b20
https://hdl.handle.net/11858/00-001M-0000-0018-99AE-011858/00-001M-0000-0018-99A8-B
https://hdl.handle.net/11858/00-001M-0000-0018-99AE-011858/00-001M-0000-0018-99A8-B
Akademický článek
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Publikováno v:
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI); 2015, p536-539, 4p