Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Christian Jarvers"'
Autor:
Christian Jarvers, Heiko Neumann
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 11, p e1012019 (2024)
Deep neural networks have been remarkably successful as models of the primate visual system. One crucial problem is that they fail to account for the strong shape-dependence of primate vision. Whereas humans base their judgements of category membersh
Externí odkaz:
https://doaj.org/article/a28187d4458c4f96a736178d2241bf85
Publikováno v:
IEEE Access, Vol 11, Pp 34094-34103 (2023)
Gesture recognition defines an important information channel in human-computer interaction. Intuitively, combining inputs from multiple modalities improves the recognition rate. In this work, we explore multi-modal video-based gesture recognition tas
Externí odkaz:
https://doaj.org/article/2a7a29b7dc534a4791a63b29ca97ea0e
Autor:
Christian Jarvers, Heiko Neumann
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
Understanding how deep neural networks resemble or differ from human vision becomes increasingly important with their widespread use in Computer Vision and as models in Neuroscience. A key aspect of human vision is shape: we decompose the visual worl
Externí odkaz:
https://doaj.org/article/c0ed5969b4b444e9a2e3ed44e0c7aecb
Publikováno v:
Frontiers in Neural Circuits, Vol 13 (2019)
Adaptation is a mechanism by which cortical neurons adjust their responses according to recently viewed stimuli. Visual information is processed in a circuit formed by feedforward (FF) and feedback (FB) synaptic connections of neurons in different co
Externí odkaz:
https://doaj.org/article/c8da9e1a1c194c9bbebde0b10c1839af
Autor:
Christian Jarvers, Tobias Brosch, Andre Brechmann, Marie L Woldeit, Andreas L Schulz, Frank W. Ohl, Marcel Lommerzheim, Heiko Neumann
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
Biologically plausible modeling of behavioral reinforcement learning tasks has seen great improvements over the past decades. Less work has been dedicated to tasks involving contingency reversals, i.e. tasks in which the original behavioral goal is r
Externí odkaz:
https://doaj.org/article/efbef035129f41e696de5b944d71b458
Publikováno v:
3DV
Fine-grained temporal action segmentation in long, untrimmed RGB videos is a key topic in visual human-machine interaction. Recent temporal convolution based approaches either use encoder-decoder(ED) architecture or dilations with doubling factor in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb210d6269fd74a7302ffab470d5a146
https://doi.org/10.1109/3dv50981.2020.00073
https://doi.org/10.1109/3dv50981.2020.00073
Publikováno v:
AICAS
Primate cortex is a layered computational system characterized by different cell clusterings and connectivities. Their details can be simplified by implementing two-dimensional sheets of visuo-topically arranged model columns defined as excitatory-in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1971907bb2383d874cc9a881ed0ff285
https://doi.org/10.1109/aicas48895.2020.9073903
https://doi.org/10.1109/aicas48895.2020.9073903
Autor:
Christian Jarvers, Heiko Neumann
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7486f14bd8f0deaed32dacf258b57323
https://doi.org/10.32470/ccn.2019.1191-0
https://doi.org/10.32470/ccn.2019.1191-0
Publikováno v:
Journal of Vision. 20:1216
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c38adeab0357718c430c8dda9840da65
https://doi.org/10.1167/jov.20.11.1216
https://doi.org/10.1167/jov.20.11.1216
Autor:
Heiko Neumann, Christian Jarvers
Publikováno v:
ICCT
Companion systems act in and interact with changing environments continuously and in an online manner. Therefore, they are required to adapt to their context of operation in several ways, for example by learning to respond to new input categories. Li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ca5cc4dcad508717723422ffeae515f
https://doi.org/10.1109/companion.2017.8287081
https://doi.org/10.1109/companion.2017.8287081