Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Denis Chaimow"'
Autor:
Jonas Karolis Degutis, Denis Chaimow, Daniel Haenelt, Moataz Assem, John Duncan, John-Dylan Haynes, Nikolaus Weiskopf, Romy Lorenz
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract The dorsolateral prefrontal cortex (dlPFC) is reliably engaged in working memory (WM) and comprises different cytoarchitectonic layers, yet their functional role in human WM is unclear. Here, participants completed a delayed-match-to-sample
Externí odkaz:
https://doaj.org/article/591d12652ef44959995538d5c42112a2
Autor:
Tony Carricarte, Polina Iamshchinina, Robert Trampel, Denis Chaimow, Nikolaus Weiskopf, Radoslaw M. Cichy
Publikováno v:
iScience, Vol 27, Iss 7, Pp 110229- (2024)
Summary: Visual imagery and perception share neural machinery but rely on different information flow. While perception is driven by the integration of sensory feedforward and internally generated feedback information, imagery relies on feedback only.
Externí odkaz:
https://doaj.org/article/07f46b8628794527bf59bed413f49352
Autor:
Jan Zimmermann, Rainer Goebel, Federico De Martino, Pierre-Francois van de Moortele, David Feinberg, Gregor Adriany, Denis Chaimow, Amir Shmuel, Kamil Uğurbil, Essa Yacoub
Publikováno v:
PLoS ONE, Vol 6, Iss 12, p e28716 (2011)
Functional magnetic resonance imaging (fMRI) at high magnetic fields has made it possible to investigate the columnar organization of the human brain in vivo with high degrees of accuracy and sensitivity. Until now, these results have been limited to
Externí odkaz:
https://doaj.org/article/ab70486f084c49acaa7b0eb41353f913
Autor:
Tony Carricarte, Polina Iamshchinina, Robert Trampel, Denis Chaimow, Romy Lorenz, Nikolaus Weiskopf, Radoslaw M. Cichy
Publikováno v:
Journal of Vision. 22:3683
Publikováno v:
NeuroImage. 164:67-99
The capacity of functional MRI (fMRI) to resolve cortical columns depends on several factors. These include the spatial scale of the columnar pattern, the point-spread of the fMRI response, the voxel size, and the signal-to-noise ratio (SNR) consider
Autor:
Amir Shmuel, Denis Chaimow
Publikováno v:
bioRxiv
The effects of k-space sampling and signal decay on the effective spatial resolution of MRI and functional MRI (fMRI) are commonly assessed by means of the magnitude point-spread function (PSF), defined as the absolute values (magnitudes) of the comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26a73d04d60202a55a5ee803e16fa828
https://hdl.handle.net/21.11116/0000-000B-47F3-321.11116/0000-000C-3F0E-0
https://hdl.handle.net/21.11116/0000-000B-47F3-321.11116/0000-000C-3F0E-0
Publikováno v:
NeuroImage. 164
Previous attempts at characterizing the spatial specificity of the blood oxygenation level dependent functional MRI (BOLD fMRI) response by estimating its point-spread function (PSF) have conventionally relied on retinotopic spatial representations o
Mapping the organization of axis of motion selective features in human area MT using high-field fMRI
Autor:
Amir Shmuel, Gregor Adriany, Federico De Martino, Jan Zimmermann, David A. Feinberg, Essa Yacoub, Kamil Ugurbil, Rainer Goebel, Pierre-Francois Van de Moortele, Denis Chaimow
Publikováno v:
PLoS ONE
PLoS ONE, Vol 6, Iss 12, p e28716 (2011)
PLoS One, 6. Public Library of Science
PLOS ONE, 6(12):28716. Public Library of Science
PLoS ONE, Vol 6, Iss 12, p e28716 (2011)
PLoS One, 6. Public Library of Science
PLOS ONE, 6(12):28716. Public Library of Science
Functional magnetic resonance imaging (fMRI) at high magnetic fields has made it possible to investigate the columnar organization of the human brain in vivo with high degrees of accuracy and sensitivity. Until now, these results have been limited to
Publikováno v:
NeuroImage
Recent studies have demonstrated that multivariate machine learning algorithms applied to human functional MRI data can decode information segregated in cortical columns, despite the voxel size being large relative to the width of columns. The mechan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a56542d8f75d0e2ee1440bc420899af
https://hdl.handle.net/11858/00-001M-0000-0013-C138-1
https://hdl.handle.net/11858/00-001M-0000-0013-C138-1
Publikováno v:
NeuroImage. 56(2)
Multivariate machine learning algorithms applied to human functional MRI (fMRI) data can decode information conveyed by cortical columns, despite the voxel-size being large relative to the width of columns. Several mechanisms have been proposed to un