Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Alexander S Ecker"'
Autor:
Larissa Höfling, Klaudia P Szatko, Christian Behrens, Yuyao Deng, Yongrong Qiu, David Alexander Klindt, Zachary Jessen, Gregory W Schwartz, Matthias Bethge, Philipp Berens, Katrin Franke, Alexander S Ecker, Thomas Euler
Publikováno v:
eLife, Vol 13 (2024)
The retina transforms patterns of light into visual feature representations supporting behaviour. These representations are distributed across various types of retinal ganglion cells (RGCs), whose spatial and temporal tuning properties have been stud
Externí odkaz:
https://doaj.org/article/bd1d15ff31e049e5baf70c033f688aae
Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks.
Autor:
Santiago A Cadena, Konstantin F Willeke, Kelli Restivo, George Denfield, Fabian H Sinz, Matthias Bethge, Andreas S Tolias, Alexander S Ecker
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 5, p e1012056 (2024)
Responses to natural stimuli in area V4-a mid-level area of the visual ventral stream-are well predicted by features from convolutional neural networks (CNNs) trained on image classification. This result has been taken as evidence for the functional
Externí odkaz:
https://doaj.org/article/2cf3b2328e2b405c8b5fc48eb04ce078
Autor:
Max F Burg, Santiago A Cadena, George H Denfield, Edgar Y Walker, Andreas S Tolias, Matthias Bethge, Alexander S Ecker
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009028 (2021)
Divisive normalization (DN) is a prominent computational building block in the brain that has been proposed as a canonical cortical operation. Numerous experimental studies have verified its importance for capturing nonlinear neural response properti
Externí odkaz:
https://doaj.org/article/dfa26c35feb347a19ccdb479c8562643
Autor:
Santiago A Cadena, George H Denfield, Edgar Y Walker, Leon A Gatys, Andreas S Tolias, Matthias Bethge, Alexander S Ecker
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 4, p e1006897 (2019)
Despite great efforts over several decades, our best models of primary visual cortex (V1) still predict spiking activity quite poorly when probed with natural stimuli, highlighting our limited understanding of the nonlinear computations in V1. Recent
Externí odkaz:
https://doaj.org/article/94a9e80e07fd40138c1f4d8d618a50a9
Autor:
Thomas SA Wallis, Christina M Funke, Alexander S Ecker, Leon A Gatys, Felix A Wichmann, Matthias Bethge
Publikováno v:
eLife, Vol 8 (2019)
We subjectively perceive our visual field with high fidelity, yet peripheral distortions can go unnoticed and peripheral objects can be difficult to identify (crowding). Prior work showed that humans could not discriminate images synthesised to match
Externí odkaz:
https://doaj.org/article/c06b224bceb14e3d85c662113b4d49c7
Autor:
Dimitri Yatsenko, Krešimir Josić, Alexander S Ecker, Emmanouil Froudarakis, R James Cotton, Andreas S Tolias
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 3, p e1004083 (2015)
Ambitious projects aim to record the activity of ever larger and denser neuronal populations in vivo. Correlations in neural activity measured in such recordings can reveal important aspects of neural circuit organization. However, estimating and int
Externí odkaz:
https://doaj.org/article/64076ab7ec204d86855f5d686cb042ad
Publikováno v:
PLoS ONE, Vol 8, Iss 3, p e58788 (2013)
Transmission of neural signals in the brain takes time due to the slow biological mechanisms that mediate it. During such delays, the position of moving objects can change substantially. The brain could use statistical regularities in the natural wor
Externí odkaz:
https://doaj.org/article/34339f54b7f74e7eaa690e5e67c2d074
Publikováno v:
Frontiers in Neuroscience, Vol 2 (2008)
Extra-cellular voltage fluctuations (local field potentials; LFPs) reflecting neural mass action are ubiquitous across species and brain regions. Numerous studies have characterized the properties of LFP signals in the cortex to study sensory and mot
Externí odkaz:
https://doaj.org/article/7283b95f30794833b86a007d1d4ee606
Autor:
Konstantin F. Willeke, Kelli Restivo, Katrin Franke, Arne F. Nix, Santiago A. Cadena, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil Patel, Alexander S. Ecker, Fabian H. Sinz, Andreas S. Tolias
Deciphering the brain’s structure-function relationship is key to understanding the neuronal mechanisms underlying perception and cognition. The cortical column, a vertical organization of neurons with similar functions, is a classic example of pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66ae35dd1030b3950c06b9849b7fb904
https://doi.org/10.1101/2023.05.12.540591
https://doi.org/10.1101/2023.05.12.540591
Autor:
Eric Y. Wang, Paul G. Fahey, Kayla Ponder, Zhuokun Ding, Andersen Chang, Taliah Muhammad, Saumil Patel, Zhiwei Ding, Dat Tran, Jiakun Fu, Stelios Papadopoulos, Katrin Franke, Alexander S. Ecker, Jacob Reimer, Xaq Pitkow, Fabian H. Sinz, Andreas S. Tolias
Publikováno v:
bioRxiv
Understanding the brain’s perception algorithm is a highly intricate problem, as the inherent complexity of sensory inputs and the brain’s nonlinear processing make characterizing sensory representations difficult. Recent studies have shown that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17237bf89272407fbe7812cf95518010
https://europepmc.org/articles/PMC10055288/
https://europepmc.org/articles/PMC10055288/