Continuous evolution of statistical estimators for optimal decision-making

PLoS ONE

Volumn 7, Issue 6, 2012, Pages

  Saunders, Ian ^a   Vijayakumar, Sethu ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ASSOCIATION; DECISION MAKING; ERROR; EYE TRACKING; HUMAN; HUMAN EXPERIMENT; KINEMATICS; LATENT PERIOD; NOISE; NORMAL HUMAN; OPTIMAL DECISION MAKING; PERCEPTION; PREDICTION; QUALITATIVE ANALYSIS; SENSORIMOTOR INTEGRATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; TASK PERFORMANCE; UNCERTAINTY; VISUAL INFORMATION; VISUAL STIMULATION;

ADULT; BIOLOGICAL EVOLUTION; DECISION MAKING; HUMANS; LEARNING; MODELS, STATISTICAL; PSYCHOMOTOR PERFORMANCE; UNCERTAINTY; VISUAL PERCEPTION; YOUNG ADULT;

EID: 84862653670     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0037547     Document Type: Article

References (36)

1. Körding KP, Wolpert DM, (2004) Bayesian integration in sensorimotor learning. Nature 427: 244-247.
2. Faisal AA, Wolpert DM, (2009) Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task. J Neurophysiol 101: 1901-1912.
3. Landy MS, Maloney LT, Johnston EB, Young M, (1995) Measurement and modeling of depth cue combination: in defense of weak fusion. Vision Research 35: 389-412.
4. Jacobs RA, (1999) Optimal integration of texture and motion cues to depth. Vision Res 39: 3621-3629.
5. Hillis JM, Watt SJ, Landy MS, Banks MS, (2004) Slant from texture and disparity cues: optimal cue combination. J Vis 4: 967-992.
6. Ernst MO, Banks MS, (2002) Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415: 429-433.
7. Heron J, Whitaker D, McGraw PV, (2004) Sensory uncertainty governs the extent of audio-visual interaction. Vision Res 44: 2875-2884.
8. Wallace MT, Roberson GE, Hairston WD, Stein BE, Vaughan JW, et al. (2004) Unifying multisensory signals across time and space. Exp Brain Res 158: 252-258.
9. Helbig HB, Ernst MO, (2008) Visual-haptic cue weighting is independent of modality-specific attention. J Vis 8: 21.1-2116.
10. Knill DC, Saunders JA, (2003) Do humans optimally integrate stereo and texture information for judgments of surface slant? Vision Res 43: 2539-2558.
11. Rosas P, Wagemans J, Ernst MO, Wichmann FA, (2005) Texture and haptic cues in slant discrimination: reliability-based cue weighting without statistically optimal cue combination. J Opt Soc Am A Opt Image Sci Vis 22: 801-809.
12. Tassinari H, Hudson TE, Landy MS, (2006) Combining priors and noisy visual cues in a rapid pointing task. J Neurosci 26: 10154-10163.
13. Burr D, Banks MS, Morrone MC, (2009) Auditory dominance over vision in the perception of interval duration. Exp Brain Res 198: 49-57.
14. Jacobs RA, (2002) What determines visual cue reliability? Trends Cogn Sci 6: 345-350.
15. Barthelmé S, Mamassian P, (2009) Evaluation of objective uncertainty 570 in the visual system. PLoS Comput Biol 5: e1000504.
16. Graf EW, Warren PA, Maloney LT, (2005) Explicit estimation of visual uncertainty in human motion processing. Vision Res 45: 3050-3059.
17. Kepecs A, Uchida N, Zariwala HA, Mainen ZF, (2008) Neural correlates, computation and be575 havioural impact of decision confidence. Nature 455: 227-231.
18. Alais D, Burr D, (2004) The ventriloquist effect results from near-optimal bimodal integration. Curr Biol 14: 257-262.
19. Helbig HB, Ernst MO, (2007) Optimal integration of shape information from vision and touch. Exp Brain Res 179: 595-606.
20. Barthelmé S, Mamassian P, (2010) Flexible mechanisms underlie the evaluation of visual confidence. Proc Natl Acad Sci U S A 107: 20834-20839.
21. Resulaj A, Kiani R, Wolpert DM, Shadlen MN, (2009) Changes of mind in decision-making. Nature 461: 263-266.
22. Gepshtein S, Banks MS, (2003) Viewing geometry determines how vision and haptics combine in size perception. Curr Biol 13: 483-488.
23. Gepshtein S, Burge J, Ernst MO, Banks MS, (2005) The combination of vision and touch depends on spatial proximity. J Vis 5: 1013-1023.
24. Nassar MR, Wilson RC, Heasly B, Gold JI, (2010) An approximately bayesian delta-rule model explains the dynamics of belief updating in a changing environment. J Neurosci 30: 12366-12378.
25. Björkman M, Juslin P, Winman A, (1993) Realism of confidence in sensory discrimination: The underconfidence phenomenon. Attention, Perception, & Psychophysics 54: 75-81.
26. Brenner E, Smeets JBJ, (2011) Continuous visual control of interception. Hum Mov Sci 30: 475-494.
27. Trommershäuser J, Maloney LT, Landy MS, (2003) Statistical decision theory and the selection of rapid, goal-directed movements. J Opt Soc Am A Opt Image 595 Sci Vis 20: 1419-1433.
28. Schot WD, Brenner E, Smeets JBJ, (2011) Grasping and hitting moving objects. Exp Brain Res 212: 487-496.
29. van Beers RJ, Sittig AC, Gon JJ, (1999) Integration of proprioceptive and visual positioninformation: An experimentally supported model. J Neurophysiol 81: 1355-1364.
30. Oruç I, Maloney LT, Landy MS, (2003) Weighted linear cue combination with possibly correlated error. Vision Res 43: 2451-2468.
31. Kiani R, Shadlen MN, (2009) Representation of confidence associated with a decision by neurons in the parietal cortex. Science 324: 759-764.
32. Pouget A, Dayan P, Zemel R, (2000) Information processing with population codes. Nat Rev Neurosci 1: 125-132.
33. Saunders I, (2012) A Closed-Loop Prosthetic Hand: Understanding Sensorimotor and Multisensory Integration under Uncertainty. Ph.D. thesis, University of Edinburgh. URL http://tiny.cc/wkspv.
34. Lawson C, Hanson R, (1974) Solving least squares problems. Prentice-Hall. Chapter 23, p.161.
35. Coleman T, Li Y, (1994) On the convergence of reflective newton methods for large-scale nonlinear minimization subject to bounds. Mathematical Programming 67: 189-224.
36. Coleman T, Li Y, (1996) An interior, trust region approach for nonlinear minimization subject to bounds. SIAM Journal on Optimization 6: 418-445.