Probabilistic Population Codes for Bayesian Decision Making

Neuron

Volumn 60, Issue 6, 2008, Pages 1142-1152

  Beck, Jeffrey M ^a   Ma, Wei Ji ^a,b   Kiani, Roozbeh ^c   Hanks, Tim ^c   Churchland, Anne K ^c   Roitman, Jamie ^d   Shadlen, Michael N ^c   Latham, Peter E ^e   Pouget, Alexandre ^a,f  

^a UNIVERSITY OF ROCHESTER   (United States)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

^d UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^e UNIVERSITY COLLEGE LONDON   (United Kingdom)

^f l'alimentation et l'Environnement   (France)

Author keywords

SYSNEURO

Indexed keywords

ARTICLE; BAYES THEOREM; BRAIN NERVE CELL; DECISION MAKING; ELECTROENCEPHALOGRAM; NERVE CELL NETWORK; PARIETAL LOBE; PRIORITY JOURNAL; PROBABILITY; RELIABILITY;

ACTION POTENTIALS; ANIMALS; BAYES THEOREM; COMPUTER SIMULATION; DECISION MAKING; HAPLORHINI; HUMANS; MODELS, NEUROLOGICAL; MOTION PERCEPTION; NEURAL NETWORKS (COMPUTER); NEURONS; NONLINEAR DYNAMICS; PHOTIC STIMULATION; REACTION TIME; TIME FACTORS;

EID: 57649192772     PISSN: 08966273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuron.2008.09.021     Document Type: Article

References (52)

1. Anderson J.S., Lampl I., Gillespie D.C., and Ferster D. The contribution of noise to contrast invariance of orientation tuning in cat visual cortex. Science 290 (2000) 1968-1972
2. Barber M.J., Clark J.W., and Anderson C.H. Neural representation of probabilistic information. Neural Comput. 15 (2003) 1843-1864
3. Bogacz R., and Gurney K. The basal ganglia and cortex implement optimal decision making between alternative actions. Neural Comput. 19 (2007) 442-477
4. Bogacz R., Brown E., Moehlis J., Holmes P., and Cohen J.D. The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. Psychol. Rev. 113 (2006) 700-765
5. Britten K.H., Shadlen M.N., Newsome W.T., and Movshon J.A. Responses of neurons in macaque MT to stochastic motion signals. Vis. Neurosci. 10 (1993) 1157-1169
6. Churchland A.K., Kiani R., and Shadlen M.N. Decision-making with multiple alternatives. Nat. Neurosci. 11 (2008) 693-702
7. Deneve S., Latham P., and Pouget A. Reading population codes: A neural implementation of ideal observers. Nat. Neurosci. 2 (1999) 740-745
8. Ditterich J., Mazurek M.E., and Shadlen M.N. Microstimulation of visual cortex affects the speed of perceptual decisions. Nat. Neurosci. 6 (2003) 891-898
9. Eliasmith C., and Anderson C.H. Neural Engineering: Computation, Representation and Dynamics in Neurobiological Systems (2003), MIT Press, Cambridge, MA
10. Furman M., and Wang X.J. Similarity effect and optimal control of multiple-choice decision making. Neuron 60 (2008) 1153-1168 this issue
11. Gershon E.D., Wiener M.C., Latham P.E., and Richmond B.J. Coding strategies in monkey V1 and inferior temporal cortices. J. Neurophysiol. 79 (1998) 1135-1144
12. Gold J.I., and Shadlen M.N. Neural computations that underlie decisions about sensory stimuli. Trends Cogn. Sci. 5 (2001) 10-16
13. Gold J.I., and Shadlen M.N. The neural basis of decision making. Annu. Rev. Neurosci. 30 (2007) 535-574
14. Huk A.C., and Shadlen M.N. Neural activity in macaque parietal cortex reflects temporal integration of visual motion signals during perceptual decision making. J. Neurosci. 25 (2005) 10420-10436
15. Kiani R., Hanks T.D., and Shadlen M.N. Bounded integration in parietal cortex underlies decisions even when viewing duration is dictated by the environment. J. Neurosci. 28 (2008) 3017-3029
16. Kim B., and Basso M.A. Saccade target selection in the superior colliculus: a signal detection theory approach. J. Neurosci. 28 (2008) 2991-3007
17. Kohn A., and Smith M.A. Stimulus dependence of neuronal correlation in primary visual cortex of the macaque. J. Neurosci. 25 (2005) 3661-3673
18. Laming D.R.J. Information Theory of Choice-Reaction Times (1968), Academic Press, London
19. Latham P.E., Deneve S., and Pouget A. Optimal computation with attractor networks. J. Physiol. (Paris) 97 (2003) 683-694
20. Lee C., Rohrer W.H., and Sparks D.L. Population coding of saccadic eye movements by neurons in the superior colliculus. Nature 332 (1988) 357-360
21. Link S.W. The Wave Theory of Difference and Similarity (1992), Lawrence Erlbaum Associates, Hillsdale, NJ
22. Link S.W., and Heath R.A. A sequential theory of psychological discrimination. Psychometrika 40 (1975) 77-105
23. Ma W.J., Beck J.M., Latham P.E., and Pouget A. Bayesian inference with probabilistic population codes. Nat. Neurosci. 9 (2006) 1432-1438
24. Machens C.K., Romo R., and Brody C.D. Flexible control of mutual inhibition: a neural model of two-interval discrimination. Science 307 (2005) 1121-1124
25. Mazurek M.E., Roitman J.D., Ditterich J., and Shadlen M.N. A role for neural integrators in perceptual decision making. Cereb. Cortex 13 (2003) 1257-1269
26. McMillen T., and Holmes P. The dynamics of choice among multiple alternatives. J. Math. Psychol. 50 (2006) 30-57
27. Paninski L. Maximum likelihood estimation of cascade point-process neural encoding models. Network: Computation in Neural Systems 15 (2004) 243-262
28. Papoulis A. Probability, Random Variables, and Stochastic Process (1991), McGraw-Hill, inc, New York
29. Platt M.L., and Glimcher P.W. Neural correlates of decision variables in parietal cortex. Nature 400 (1999) 233-238
30. Plesser H.E., and Gerstner W. Noise in integrate-and-fire neurons: from stochastic input to escape rates. Neural Comput. 12 (2000) 367-384
31. Ratcliff R., and Rouder J.N. Modeling response times for two-choice decisions. Psychol. Sci. 9 (1998) 347-356
32. Ratcliff R., Hasegawa Y.T., Hasegawa R.P., Smith P.L., and Segraves M.A. Dual diffusion model for single-cell recording data from the superior colliculus in a brightness-discrimination task. J. Neurophysiol. 97 (2006) 1756-1774
33. Reddi B.A., and Carpenter R.H. The influence of urgency on decision time. Nat. Neurosci. 3 (2000) 827-830
34. Renart A., Song P., and Wang X.J. Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron 38 (2003) 473-485
35. Roitman J.D., and Shadlen M.N. Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J. Neurosci. 22 (2002) 9475-9489
36. Sclar G., and Freeman R. Orientation selectivity in the cat's striate cortex is invariant with stimulus contrast. Exp. Brain Res. 46 (1982) 457-461
37. Series P., Latham P., and Pouget A. Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations. Nat. Neurosci. 7 (2004) 1129-1135
38. Shadlen M.N., and Newsome W.T. The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding. J. Neurosci. 18 (1998) 3870-3896
39. Shadlen M.N., and Newsome W.T. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J. Neurophysiol. 86 (2001) 1916-1936
40. Shadlen M.N., Hanks T.D., Churchland A.K., Kiani R., and Yang T. The speed and accuracy of a simple perceptual decision: a mathematical primer. In: Doya K., Ishii S., Rao R., and Pouget A. (Eds). Bayesian Brain: Probabilistic Approaches to Neural Coding (2006), MIT Press, Cambridge
41. Smith P.L., and Ratcliff R. Psychology and neurobiology of simple decisions. Trends Neurosci. 27 (2004) 161-168
42. Stone M. Models for choice-reaction time. Psychometrika 25 (1960) 251-260
43. Sugrue L.P., Corrado G.S., and Newsome W.T. Matching behavior and the representation of value in the parietal cortex. Science 304 (2004) 1782-1787
44. Tolhurst D., Movshon J., and Dean A. The statistical reliability of signals in single neurons in cat and monkey visual cortex. Vision Res. 23 (1983) 775-785
45. Usher M., and McClelland J.L. The time course of perceptual choice: the leaky, competing accumulator model. Psychol. Rev. 108 (2001) 550-592
46. Vickers D. Decision Processes in Visual Perception (1979), Academic Press, New York
47. Wald A. Sequential Analysis (1947), Wiley, New York
48. Wald A., and Wolfowitz J. Optimum character of the sequential probability ratio test. Ann. Math. Stat. 19 (1948) 326-339
49. Wang X.J. Probabilistic decision making by slow reverberation in cortical circuits. Neuron 36 (2002) 955-968
50. Wong K.F., and Wang X.J. A recurrent network mechanism of time integration in perceptual decisions. J. Neurosci. 26 (2006) 1314-1328
51. Zhang K. Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory. J. Neurosci. 16 (1996) 2112-2126
52. Zohary E., Shadlen M., and Newsome W. Correlated neuronal discharge rate and its implication for psychophysical performance. Nature 370 (1994) 140-143