Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Heiko H, Schütt"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract When developing models in cognitive science, researchers typically start with their own intuitions about human behavior in a given task and then build in mechanisms that explain additional aspects of the data. This refinement step is often h
Externí odkaz:
https://doaj.org/article/6189f488a63d4f1d9a62f3832bdfa739
Publikováno v:
eLife, Vol 12 (2023)
Neuroscience has recently made much progress, expanding the complexity of both neural activity measurements and brain-computational models. However, we lack robust methods for connecting theory and experiment by evaluating our new big models with our
Externí odkaz:
https://doaj.org/article/c00672c38cec4f7c9ddeb864f04a7a12
Publikováno v:
Psychological Review. 130:334-367
Bayesian optimal inference is often heralded as a principled, general framework for human perception. However, optimal inference requires integration over all possible world states, which quickly becomes intractable in complex real-world settings. Ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f3551ada936e8feb9a9edad134b63e4
https://doi.org/10.1037/rev0000402
https://doi.org/10.1037/rev0000402
Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 44, iss 44
Dopaminergic reward prediction error neurons in the midbrain are the most prominent type of neurons encoding rewards. To explain the coding properties of these neurons, we apply the efficient coding framework to derive how neurons should encode rewar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdc0ac5007e622e59792911906386a28
https://doi.org/10.1101/2022.11.03.515104
https://doi.org/10.1101/2022.11.03.515104
Autor:
Jörn Diedrichsen, Eva Berlot, Heiko H. Schütt, Mahdiyar Shahbazi, Nikolaus Kriegeskorte, Marieke Mur
Publikováno v:
Neurons, Behavior, Data analysis, and Theory. 5
Representational similarity analysis (RSA) tests models of brain computation by investigating how neural activity patterns reflect experimental conditions. Instead of predicting activity patterns directly, the models predict the geometry of the repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3209fc7609ff41c93e2bef6c9643b47e
https://doi.org/10.51628/001c.27664
https://doi.org/10.51628/001c.27664
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
Scientific Reports
Scientific Reports
When searching a target in a natural scene, it has been shown that both the target’s visual properties and similarity to the background influence whether and how fast humans are able to find it. So far, it was unclear whether searchers adjust the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c5d3da4efc18e60575976a5af7c452
http://link.springer.com/article/10.1038/s41598-018-37548-w
http://link.springer.com/article/10.1038/s41598-018-37548-w
Autor:
Alban Flachot, Arash Akbarinia, Heiko H. Schütt, Roland W. Fleming, Felix A. Wichmann, Karl R. Gegenfurtner
Publikováno v:
Journal of Vision. 22:17
Color constancy is our ability to perceive constant colors across varying illuminations. Here, we trained deep neural networks to be color constant and evaluated their performance with varying cues. Inputs to the networks consisted of two-dimensional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45e48229570b172bdb7f19b8454346b5
https://doi.org/10.1167/jov.22.4.17
https://doi.org/10.1167/jov.22.4.17
Autor:
Marianne Maertens, Matthias Bethge, Robert Geirhos, Felix A. Wichmann, David H. J. Janssen, Heiko H. Schütt, Guillermo Aguilar
Publikováno v:
HVEI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ef32e7101ee82448daa7219206c0181
https://doi.org/10.2352/issn.2470-1173.2017.14.hvei-113
https://doi.org/10.2352/issn.2470-1173.2017.14.hvei-113
Publikováno v:
Journal of vision. 19(3)
Bottom-up and top-down as well as low-level and high-level factors influence where we fixate when viewing natural scenes. However, the importance of each of these factors and how they interact remains a matter of debate. Here, we disentangle these fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3f0e77c67c8380867968df1e16ae3ac0
https://pubmed.ncbi.nlm.nih.gov/30821809
https://pubmed.ncbi.nlm.nih.gov/30821809
Publikováno v:
Vision Research
During scene perception our eyes generate complex sequences of fixations. Predictors of fixation locations are bottom-up factors like luminance contrast, top-down factors like viewing instruction, and systematic biases like the tendency to place fixa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d7da5e16d15c38bf8cd86caee040698
https://doi.org/10.1016/j.visres.2016.09.012
https://doi.org/10.1016/j.visres.2016.09.012