Zobrazeno 1 - 6
of 6
pro vyhledávání: '"André G. Mendonça"'
Autor:
André G. Mendonça, Jan Drugowitsch, M. Inês Vicente, Eric E. J. DeWitt, Alexandre Pouget, Zachary F. Mainen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Here, the authors show that rats’ performance on olfactory decision tasks is best explained by a Bayesian model that combines reinforcement-based learning with accumulation of uncertain sensory evidence. The results suggest that learning is a criti
Externí odkaz:
https://doaj.org/article/cdd0caa3d0de4532b42841435d503f3e
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 2, p e1001082 (2011)
Biological systems evolved to be functionally robust in uncertain environments, but also highly adaptable. Such robustness is partly achieved by genetic redundancy, where the failure of a specific component through mutation or environmental challenge
Externí odkaz:
https://doaj.org/article/33058c874f094642b534970cf9e57e0f
Autor:
Mafalda Valente, Juan R. Castiñeiras-de Saa, Tiago R. D. Costa, Alfonso Renart, M. Inês Vicente, Iris Damião, Zachary F. Mainen, André G. Mendonça, Jose L. Pardo-Vazquez
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
instname
Although Weber’s law is the most firmly established regularity in sensation, no principled way has been identified to choose between its many proposed explanations. We investigated Weber’s law by training rats to discriminate the relative intensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f709d415751597036239b2b8231eb811
http://hdl.handle.net/2183/29800
http://hdl.handle.net/2183/29800
Autor:
Zachary F. Mainen, Jan Drugowitsch, M. Inês Vicente, André G. Mendonça, Eric Dewitt, Alexandre Pouget
Publikováno v:
Nature Communications, Vol. 11, No 1 (2020)
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
In standard models of perceptual decision-making, noisy sensory evidence is considered to be the primary source of choice errors and the accumulation of evidence needed to overcome this noise gives rise to speed-accuracy tradeoffs. Here, we investiga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faa544139e9e772e2da0f784d0d8767d
Background In this contribution we present detailed distribution and abundance data for arthropod species identified during the BALA - Biodiversity of Arthropods from the Laurisilva of the A zores (1999-2004) and BALA2 projects (2010-2011) from 18 na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::8d1afd864c0a794b219dea8fe05d422d
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3057893
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3057893
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 7, Iss 2, p e1001082 (2011)
PLoS Computational Biology, Vol 7, Iss 2, p e1001082 (2011)
Biological systems evolved to be functionally robust in uncertain environments, but also highly adaptable. Such robustness is partly achieved by genetic redundancy, where the failure of a specific component through mutation or environmental challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb1482a7af8c1a91b90160ac7a88102c
http://europepmc.org/articles/PMC3040653
http://europepmc.org/articles/PMC3040653