Spatial attention, precision, and bayesian inference: A study of saccadic response speed

Cerebral Cortex

Volumn 24, Issue 6, 2014, Pages 1436-1450

  Vossel, Simone ^a   Mathys, Christoph ^b   Daunizeau, Jean ^b   Bauer, Markus ^a   Driver, Jon ^a   Friston, Karl J ^a   Stephan, Klaas E ^a,b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

Cue validity; Hierarchical models; Variational Bayes; Visuospatial processing; Volatility

Indexed keywords

ACCURACY; ADULT; ARTICLE; ATTENTION; BAYESIAN LEARNING; CONTROLLED STUDY; EYE MOVEMENT; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; MOTONEURON; NERVOUS SYSTEM PARAMETERS; NEUROANATOMY; NEUROIMAGING; NEUROMODULATION; NORMAL HUMAN; PERCEPTION; PREDICTION; PRIORITY JOURNAL; REINFORCEMENT; SACCADIC EYE MOVEMENT; SACCADIC RESPONSE SPEED; SENSORY STIMULATION; STATE DEPENDENT LEARNING; SUPERIOR COLLICULUS; ALGORITHM; ASSOCIATION; BAYES THEOREM; DEPTH PERCEPTION; EYE FIXATION; LEARNING; NEUROPSYCHOLOGICAL TEST; OCULOGRAPHY; PROBABILITY; PSYCHOLOGICAL MODEL; REACTION TIME; REPRODUCIBILITY; TASK PERFORMANCE; YOUNG ADULT;

ADULT; ALGORITHMS; ATTENTION; BAYES THEOREM; CUES; EYE MOVEMENT MEASUREMENTS; FEMALE; FIXATION, OCULAR; HUMANS; LEARNING; MALE; MODELS, PSYCHOLOGICAL; NEUROPSYCHOLOGICAL TESTS; PROBABILITY; REACTION TIME; REPRODUCIBILITY OF RESULTS; SACCADES; SPACE PERCEPTION; TASK PERFORMANCE AND ANALYSIS; YOUNG ADULT;

EID: 84900819344     PISSN: 10473211     EISSN: 14602199     Source Type: Journal    
DOI: 10.1093/cercor/bhs418     Document Type: Article

References (70)

1. Anderson AJ, Carpenter RHS. 2006. Changes in expectation consequent on experience, modeled by a simple, forgetful neural circuit. J Vis. 6:822-835.
2. Bastos A, Moran R, Litvak V, Fries P, Friston K, 2011. A Dynamic Causal Model of how inter-areal synchronization is achieved in canonical microcircuits. Program No. 622.16. NeuroscienceMeeting Planner. Society for Neuroscience, Washington, DC. (Online).
3. Beauchamp MS, Petit L, Ellmore TM, Ingeholm J, Haxby JV. 2001. A parametric fMRI study of overt and covert shifts of visuospatial attention. Neuroimage. 14:310-321.
4. Behrens TE, Woolrich MW, Walton ME, Rushworth MF. 2007. Learning the value of information in an uncertain world. Nat Neurosci. 10:1214-1221.
5. Bestmann S, Harrison LM, Blankenburg F, Mars RB, Haggard P, Friston KJ, Rothwell JC. 2008. Influence of uncertainty and surprise on human corticospinal excitability during preparation for action. Curr Biol. 18:775-780.
6. Brefczynski JA, DeYoe EA. 1999. A physiological correlate of the 'spotlight' of visual attention. Nat Neurosci. 2:370-374.
7. Brodersen KH, Penny WD, Harrison LM, Daunizeau J, Ruff CC, Duzel E, Friston KJ, Stephan KE. 2008. Integrated Bayesian models of learning and decision making for saccadic eye movements. Neural Netw. 21:1247-1260.
8. Brown H, Friston KJ. 2012. Dynamic causal modelling of precision and synaptic gain in visual perception-an EEG study. Neuroimage. 63:233-231.
9. Bruce CJ, Goldberg ME. 1985. Primate frontal eye fields. I. Single neurons discharging before saccades. J Neurophysiol. 53:603-635.
10. Carpenter RHS, Williams MLL. 1995. Neural computation of log likelihood in control of saccadic eye movements. Nature. 377:59-62.
11. Chiau H-Y, Tseng P, Su J-H, Tzeng OJL, Hung DL, Muggleton NG, Juan C-H. 2011. Trial type probability modulates the cost of anti-saccades. J Neurophysiol. 106:515-526.
12. Chikkerur S, Serre T, Tan C, Poggio T. 2010. What and where: a Bayesian inference theory of attention. Vision Res. 50:2233-2247.
13. Corbetta M, Akbudak E, Conturo TE, Snyder AZ, Ollinger JM, Drury HA, Linenweber MR, Petersen SE, Raichle ME, Van Essen DC et al. 1998. A common network of functional areas for attention and eye movements. Neuron. 21:761-773.
14. Daunizeau J, David O, Stephan KE. 2011. Dynamic causal modelling: a critical review of the biophysical and statistical foundations. Neuroimage. 58:312-322.
15. Daunizeau J, den Ouden HEM, Pessiglione M, Kiebel SJ, Friston KJ, Stephan KE. 2010. Observing the observer (II): deciding when to decide. PLoS ONE. 5:e15555
16. Daunizeau J, den Ouden HEM, Pessiglione M, Kiebel SJ, Stephan KE, Friston KJ. 2010. Observing the observer (I): meta-Bayesian models of learning and decision-making. PLoS ONE. 5:e15554.
17. Daunizeau J, Friston KJ, Kiebel SJ. 2009. Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models. Physica D. 238:2089-2118.
18. Dayan P. 2000. Learning and selective attention. Nat Rev Neurosci. 3:1218-1223.
19. Dayan P, Hinton GE, Neal RM, Zemel RS. 1995. The Helmholtz machine. Neural Comput. 7:889-904.
20. De Haan B, Morgan BS, Rorden C. 2008. Covert orienting of attention and overt eye movements activate identical brain regions. Brain Res. 1204:102-111.
21. den Ouden HEM, Daunizeau J, Roiser J, Friston KJ, Stephan KE. 2010. Striatal prediction error modulates cortical coupling. J Neurosci. 30:3210-3219.
22. Desimone R, Duncan J. 1995. Neural mechanisms of selective visual attention. Ann Rev Neurosci. 18:193-222.
23. Deubel H. 2008. The time course of presaccadic attention shifts. Psychol Res. 72:630-640.
24. Deubel H, Schneider WX. 1996. Saccade target selection and object recognition: evidence for a common attentional mechanism. Vis Res. 36:1827-1837.
25. Ditterich J, Mazurek ME, Shadlen MN. 2003. Microstimulation of visual cortex affects the speed of perceptual decisions. Nat Neuro-sci. 6:891-898.
26. Dore-Mazars K, Pought P, Beauvillain C. 2004. Attentional selection during preparation of eye movements. Psychol Res. 69:67-76.
27. Eriksen CW, St James JD. 1986. Visual attention within and around the field of focal attention: a zoomlens model. Percept Psycho-phys. 40:225-240.
28. Eriksen CW, Yeh YY. 1985. Allocation of attention in the visual field. J Exp Psychol Human Percep Perform. 11:583-587.
29. Farrell S, Ludwig CJH, Ellis LA, Gilchrist ID. 2010. Influence of environmental statistics on inhibition of saccadic return. PNAS. 107:929-934.
30. Feldman H, Friston KJ. 2010. Attention, uncertainty, and free-energy. Front Hum Neurosci. 4:215.
31. Fischer B, Biscaldi M, Otto P. 1993. Saccadic eye movements of dyslexic adult subjects. Neuropsychologia. 31:887-906.
32. Friston KJ. 2009. The free energy principle: a rough guide to the brain? Trends Cogn Sci. 13:293-301.
33. Friston KJ. 2010. The free-energy principle: a unified brain theory? Nat Rev Neurosci. 11:127-138.
34. Friston KJ, Harrison L, Penny W. 2003. Dynamic causal modelling. Neuroimage. 19:1273-1302.
35. Friston KJ, Kilner J, Harrison L. 2006. A free energy principle for the brain. J Physiol Paris. 100:70-87.
36. Friston KJ, Mattout J, Trujillo-Barreto N, Ashburner J, Penny WD. 2007. Variational free energy and the Laplace approximation. Neu-roimage. 34:220-234.
37. Gershman SJ, Niv Y. 2010. Learning latent structure: carving nature at its joints. Curr Opin Neurobiol. 20:251-256.
38. Giessing C, Thiel CM, Fink GR. 2006. The modulatory effects of nicotine on parietal cortex activity in a cued target detection task depend upon cue reliability. Neuroscience. 137:853-864.
39. Gitelman DR. 2002. ILAB: a program for postexperimental eye movement analysis. Behav Res Methods Instrum Comput. 34: 605-612.
40. Glimcher PW. 2001. Making choices: the neurophysiology of visual-saccadic decision making. TiNS. 24:654-659.
41. Glimcher PW. 2003. The neurobiology of visual-saccadic decision making. Ann Rev Neurosci. 26:133-179.
42. Godijn R, Theeuwes J. 2003. Parallel allocation of attention prior to the execution of saccade sequences. J Exp Psychol Human Percep Perform. 29:882-896.
43. Itti L, Baldi P. 2009. Bayesian surprise attracts human attention. Vision Res. 49:1295-1306.
44. Jongen EMM, Smulders FTY. 2007. Sequence effects in a spatial cueing task: endogenous orienting is sensitive to orienting in the preceding trial. Psychol Res. 71:516-523.
45. Jonides J. 1980. Towards a model of the mind's eye's movement. Can J Psychol. 34:103-112.
46. Kastner S, Pinsk MA, De Weerd P, Desimone R, Ungerleider LG. 1999. Increased activity in human visual cortex during directed attention in the absence of visual stimulation. Neuron. 22:751-761.
47. Kok P, Rahnev D, Jehee JFM, Lau HC, de Lange FP. 2012. Attention reverses the effect of prediction in silencing sensory signals. Cereb Cortex. 22:2197-2206.
48. Luck SJ, Chelazzi L, Hillyard SA, Desimone R. 1997. Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. J Neurophysiol. 77:24-42.
49. Mathys C, Daunizeau J, Friston KJ, Stephan KE. 2011. A Bayesian foundation for individual learning under uncertainty. Front Hum Neurosci. 5:39.
50. Nobre AC, Gitelman DR, Dias EC, Mesulam MM. 2000. Covert visual spatial orienting and saccades: overlapping neural systems. Neuro-image. 11:210-216.
51. Penny WD, Kiebel S, Friston KJ. 2007. Variational Bayes. In: Friston KJ, Ashburner J, Kiebel S, Nichols T, Penny WD, editors. Statistical parametric mapping: the analysis of functional brain images. London: Academic Press. p. 303-312.
52. Penny WD, Stephan KE, Daunizeau J, Rosa MJ, Friston KJ, Schofield TM, Leff AP. 2010. Comparing families of dynamic causal models. PLoS Comput Biol. 6:e1000709.
53. Perry RJ, Zeki S. 2000. The neurology of saccades and covert shifts in spatial attention: an event-related fMRI study. Brain. 123: 2273-2288.
54. Pestilli F, Carrasco M, Heeger DJ, Gardner JL. 2011. Attentional enhancement via selection and pooling of early sensory responses in human visual cortex. Neuron. 72:832-846.
55. Posner MI. 1980. Orienting of attention. Q J Exp Psychol. 32:3-25.
56. Rao RP. 2005. Bayesian inference and attentional modulation in the visual cortex. Neuroreport. 16:1843-1848.
57. Rescorla RA, Wagner AR. 1972. A theory of Pavlovian conditioning: variations in the effectiveness of reinforcement. In: Black AH, Prokasy WF. editors. Classical conditioning II: current research and theory. New York: Appleton-Century-Crofts. p. 64-99.
58. Risko EF, Stolz JA. 2010. The proportion valid effect in covert orienting: strategic control or implicit learning? Conscious Cogn. 19:432-442.
59. Rizzolatti G, Riggio L, Dascola I, Umilta C. 1987. Reorienting attention across the horizontal and vertical meridians: evidence in favor of a premotor theory of attention. Neuropsychologia. 25:31-40.
60. Rushworth MF, Behrens TEJ. 2008. Choice, uncertainty and value in prefrontal and cingulate cortex. Nat Rev Neurosc. 11:389-397.
61. Saproo S, Serences JT. 2010. Spatial attention improves the quality of population codes in human visual cortex. J Neurophysiol. 104:885-895.
62. Schall JD, Hanes DP. 1993. Neural basis of saccade target selection in frontal eye field during visual search. Nature. 366:467-469.
63. Schall JD, Purcell BA, Heitz RP, Logan GD, Palmeri TJ. 2011. Neural mechanisms of saccade target selection: gated accumulator model of the visual-motor cascade. Eur J Neurosci. 33:101-2002.
64. Schneider WX. 1995. VAM: a neuro-cognitive model for attention control of segmentation, object recognition and space-based motor action. Vis Cogn. 2:331-374.
65. Shannon CE. 1948. A mathematical theory of communication. Bell Syst Techn J. 27:379-423, 623-656.
66. Stampe DM. 1993. Heuristic filtering and reliable calibration methods for video-based pupil-tracking systems. Behav Res Methods Instrum Comput. 25:137-142.
67. Stephan KE, Penny WD, Daunizeau J, Moran RJ, Friston KJ. 2009. Bayesian model selection for group studies. Neuroimage. 46:1004-1017.
68. Vossel S, Weidner R, Fink GR. 2011. Dynamic coding of events within the inferior frontal gyrus in a probabilistic selective attention task. J Cogn Neurosci. 23:414-424.
69. Whiteley L, Sahani M. 2008. Implicit knowledge of visual uncertainty guides decisions with asymmetric outcomes. J Vis. 8:1-15.
70. Yu A, Dayan P. 2005. Uncertainty, neuromodulation, and attention. Neuron. 46:681-692.