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pro vyhledávání: '"Peter Neri"'
Autor:
Peter Neri
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 12, p e1006585 (2018)
Contrast is the most fundamental property of images. Consequently, any comprehensive model of biological vision must incorporate this attribute and provide a veritable description of its impact on visual perception. Current theoretical and computatio
Externí odkaz:
https://doaj.org/article/81499d6981bc4efc89f185f8b6ec17d1
Autor:
Peter Neri
Publikováno v:
PLoS Biology, Vol 15, Iss 8, p e1002611 (2017)
The structure of the physical world projects images onto our eyes. However, those images are often poorly representative of environmental structure: well-defined boundaries within the eye may correspond to irrelevant features of the physical world, w
Externí odkaz:
https://doaj.org/article/d9049448ca954ebfbd1e042058deb588
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 7, p e1005019 (2016)
Sound waveforms convey information largely via amplitude modulations (AM). A large body of experimental evidence has provided support for a modulation (bandpass) filterbank. Details of this model have varied over time partly reflecting different expe
Externí odkaz:
https://doaj.org/article/ae64f848fb4542ed8a211f00587e44a1
Autor:
Peter Neri
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 11, p e1004499 (2015)
It is generally acknowledged that biological vision presents nonlinear characteristics, yet linear filtering accounts of visual processing are ubiquitous. The template-matching operation implemented by the linear-nonlinear cascade (linear filter foll
Externí odkaz:
https://doaj.org/article/16027608c55f41989e6df26c51c83064
Autor:
Peter Neri
Publikováno v:
Frontiers in Computational Neuroscience, Vol 4 (2010)
Signals in the environment are rarely specified exactly: our visual system may know what to look for (e.g. a specific face), but not its exact configuration (e.g. where in the room, or in what orientation). Uncertainty, and the ability to deal with i
Externí odkaz:
https://doaj.org/article/f894e7b5f33e4349aad883b259a5e317
Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations
Autor:
Peter Neri
Publikováno v:
Neural Networks. 152:244-266
We assess whether deep convolutional networks (DCN) can account for a most fundamental property of human vision: detection/discrimination of elementary image elements (bars) at different contrast levels. The human visual process can be characterized
Autor:
Peter Neri
Publikováno v:
Journal of Vision. 22:3320
Autor:
Pierre Lelièvre, Peter Neri
Publikováno v:
Journal of Vision. 22:3287
Autor:
Peter Neri
Publikováno v:
Journal of Computational Neuroscience
Journal of Computational Neuroscience, Springer Verlag, 2021, 49 (1), pp.1-20. ⟨10.1007/s10827-020-00768-z⟩
Journal of Computational Neuroscience, Springer Verlag, 2020, ⟨10.1007/s10827-020-00768-z⟩
Journal of Computational Neuroscience, Springer Verlag, 2021, 49 (1), pp.1-20. ⟨10.1007/s10827-020-00768-z⟩
Journal of Computational Neuroscience, Springer Verlag, 2020, ⟨10.1007/s10827-020-00768-z⟩
The optimal template for signal detection in white additive noise is the signal itself: the ideal observer matches each stimulus against this template and selects the stimulus associated with largest match. In the noisy ideal observer, internal noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89d822790449368d7faf73c676e30331
https://hal.archives-ouvertes.fr/hal-03450538
https://hal.archives-ouvertes.fr/hal-03450538
Autor:
Marc Peter Neri
Publikováno v:
The Routledge Handbook of Accounting Ethics ISBN: 9780429490224
Virtue ethics is one of the three leading schools of ethics (along with deontology and consequentialism); however, accounting research has not yet given serious attention to this fascinating and helpful perspective. Virtue ethics focuses on the perso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89445d70901b9aa2acc003346d08f43a
https://doi.org/10.4324/9780429490224-7
https://doi.org/10.4324/9780429490224-7