190 related articles for article (PubMed ID: 25762302)
1. Bayesian accounts of covert selective attention: A tutorial review.
Vincent BT
Atten Percept Psychophys; 2015 May; 77(4):1013-32. PubMed ID: 25762302
[TBL] [Abstract][Full Text] [Related]
2. Probabilistic Computations for Attention, Eye Movements, and Search.
Eckstein MP
Annu Rev Vis Sci; 2017 Sep; 3():319-342. PubMed ID: 28746814
[TBL] [Abstract][Full Text] [Related]
3. Rethinking human visual attention: spatial cueing effects and optimality of decisions by honeybees, monkeys and humans.
Eckstein MP; Mack SC; Liston DB; Bogush L; Menzel R; Krauzlis RJ
Vision Res; 2013 Jun; 85():5-19. PubMed ID: 23298793
[TBL] [Abstract][Full Text] [Related]
4. A unified bayesian observer analysis for set size and cueing effects on perceptual decisions and saccades.
Shimozaki SS; Schoonveld WA; Eckstein MP
J Vis; 2012 Jun; 12(6):. PubMed ID: 22728676
[TBL] [Abstract][Full Text] [Related]
5. Covert visual search: prior beliefs are optimally combined with sensory evidence.
Vincent B
J Vis; 2011 Nov; 11(13):25. PubMed ID: 22131446
[TBL] [Abstract][Full Text] [Related]
6. Statistical decision theory to relate neurons to behavior in the study of covert visual attention.
Eckstein MP; Peterson MF; Pham BT; Droll JA
Vision Res; 2009 Jun; 49(10):1097-128. PubMed ID: 19138699
[TBL] [Abstract][Full Text] [Related]
7. Decision-theoretic models of visual perception and action.
Maloney LT; Zhang H
Vision Res; 2010 Nov; 50(23):2362-74. PubMed ID: 20932856
[TBL] [Abstract][Full Text] [Related]
8. Three case studies in the Bayesian analysis of cognitive models.
Lee MD
Psychon Bull Rev; 2008 Feb; 15(1):1-15. PubMed ID: 18605474
[TBL] [Abstract][Full Text] [Related]
9. Requiem for the max rule?
Ma WJ; Shen S; Dziugaite G; van den Berg R
Vision Res; 2015 Nov; 116(Pt B):179-93. PubMed ID: 25584425
[TBL] [Abstract][Full Text] [Related]
10. Optimal feature integration in visual search.
Vincent BT; Baddeley RJ; Troscianko T; Gilchrist ID
J Vis; 2009 May; 9(5):15.1-11. PubMed ID: 19757893
[TBL] [Abstract][Full Text] [Related]
11. Functional mechanisms of probabilistic inference in feature- and space-based attentional systems.
Dombert PL; Kuhns A; Mengotti P; Fink GR; Vossel S
Neuroimage; 2016 Nov; 142():553-564. PubMed ID: 27523448
[TBL] [Abstract][Full Text] [Related]
12. The footprints of visual attention during search with 100% valid and 100% invalid cues.
Eckstein MP; Pham BT; Shimozaki SS
Vision Res; 2004 Jun; 44(12):1193-207. PubMed ID: 15066385
[TBL] [Abstract][Full Text] [Related]
13. Emergent human-like covert attention in feedforward convolutional neural networks.
Srivastava S; Wang WY; Eckstein MP
Curr Biol; 2024 Feb; 34(3):579-593.e12. PubMed ID: 38244541
[TBL] [Abstract][Full Text] [Related]
14. What and where: a Bayesian inference theory of attention.
Chikkerur S; Serre T; Tan C; Poggio T
Vision Res; 2010 Oct; 50(22):2233-47. PubMed ID: 20493206
[TBL] [Abstract][Full Text] [Related]
15. Bayesian decision theory as a model of human visual perception: testing Bayesian transfer.
Maloney LT; Mamassian P
Vis Neurosci; 2009; 26(1):147-55. PubMed ID: 19193251
[TBL] [Abstract][Full Text] [Related]
16. Visual Decision-Making in an Uncertain and Dynamic World.
Gold JI; Stocker AA
Annu Rev Vis Sci; 2017 Sep; 3():227-250. PubMed ID: 28715956
[TBL] [Abstract][Full Text] [Related]
17. Search asymmetries: parallel processing of uncertain sensory information.
Vincent BT
Vision Res; 2011 Aug; 51(15):1741-50. PubMed ID: 21664919
[TBL] [Abstract][Full Text] [Related]
18. Distinguishing bias from sensitivity effects in multialternative detection tasks.
Sridharan D; Steinmetz NA; Moore T; Knudsen EI
J Vis; 2014 Aug; 14(9):. PubMed ID: 25146574
[TBL] [Abstract][Full Text] [Related]
19. The influence of cueing on attentional focus in perceptual decision making.
Yang CT; Little DR; Hsu CC
Atten Percept Psychophys; 2014 Nov; 76(8):2256-75. PubMed ID: 24939235
[TBL] [Abstract][Full Text] [Related]
20. Organizing probabilistic models of perception.
Ma WJ
Trends Cogn Sci; 2012 Oct; 16(10):511-8. PubMed ID: 22981359
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]