Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Perceptual Decision Making

  • Christopher K. Hauser
  • Emilio Salinas
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_317-1

Definition

Perceptual decision making is the process by which sensory information is used to guide behavior toward the external world. This involves gathering information through the senses, evaluating and integrating it according to the current goals and internal state of the subject, and using it to produce motor responses. In contrast to choice behavior and decision making in general, which are closely related concepts traditionally studied by psychologists, behavioral ecologists, and economists, perceptual decision making emphasizes the role of sensory information in directing behavior (e.g., during a choice). Thus, within neuroscience, the goal is to reveal the computational mechanisms whereby neural circuits encode, store, and analyze perceptual signals; combine them with other behaviorally relevant information; and use them to resolve conflicts between competing motor plans.

Detailed Description

Studies in perceptual decision making aim to explain the behavior of a subject in...

Keywords

Sensory Information Motor Plan Perceptual Information Binocular Rivalry Perceptual Judgment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. Afraz SR, Kiani R, Esteky H (2006) Microstimulation of inferotemporal cortex influences face categorization. Nature 442:692–695PubMedCrossRefGoogle Scholar
  2. Barak O, Sussillo D, Romo R, Tsodyks M, Abbott LF (2013) From fixed points to chaos: three models of delayed discrimination. Prog Neurobiol 103:214–222PubMedCentralPubMedCrossRefGoogle Scholar
  3. Beck JM, Ma WJ, Kiani R, Hanks T, Churchland AK, Roitman J, Shadlen MN, Latham PE, Pouget A (2008) Probabilistic population codes for Bayesian decision making. Neuron 60:1142–1152PubMedCentralPubMedCrossRefGoogle Scholar
  4. Bennur S, Gold JI (2011) Distinct representations of a perceptual decision and the associated oculomotor plan in the monkey lateral intraparietal area. J Neurosci 31:913–921PubMedCentralPubMedCrossRefGoogle Scholar
  5. Blake R, Logothetis NK (2002) Visual competition. Nat Rev Neurosci 3:13–23PubMedCrossRefGoogle Scholar
  6. Britten KH, Newsome WT, Shadlen MN, Celebrini S, Movshon JA (1996) A relationship between behavioral choice and the visual responses of neurons in macaque MT. Vis Neurosci 13:87–100PubMedCrossRefGoogle Scholar
  7. Brown SD, Heathcote A (2007) The simplest complete model of choice response time: linear ballistic accumulation. Cogn Psychol 57:153–178CrossRefGoogle Scholar
  8. Brunton BW, Botvinick MM, Brody CD (2013) Rats and humans can optimally accumulate evidence for decision-making. Science 340:95–98PubMedCrossRefGoogle Scholar
  9. Burr DC, Santoro L (2001) Temporal integration of optic flow, measured by contrast and coherence thresholds. Vision Res 41:1891–1899PubMedCrossRefGoogle Scholar
  10. Carpenter RHS, Williams MLL (1995) Neural computation of log likelihood in control of saccadic eye movements. Nature 377:59–61PubMedCrossRefGoogle Scholar
  11. Churchland AK, Kiani R, Shadlen MN (2008) Decision-making with multiple alternatives. Nat Neurosci 11:693–702PubMedCentralPubMedCrossRefGoogle Scholar
  12. Cisek P, Kalaska JF (2005) Neural correlates of reaching decisions in dorsal premotor cortex: specification of multiple direction choices and final selection of action. Neuron 45:801--814Google Scholar
  13. Cisek P (2006) Integrated neural processes for defining potential actions and deciding between them: a computational model. J Neurosci 26:9761–9770PubMedCrossRefGoogle Scholar
  14. Cisek P (2012) Making decisions through a distributed consensus. Curr Opin Neurobiol 22:927–936PubMedCrossRefGoogle Scholar
  15. Cisek P, Kalaska JF (2010) Neural mechanisms for interacting with a world full of action choices. Annu Rev Neurosci 33:269–298PubMedCrossRefGoogle Scholar
  16. Cisek P, Puskas GA, El-Murr S (2009) Decisions in changing conditions: the urgency-gating model. J Neurosci 29:11560–11571PubMedCrossRefGoogle Scholar
  17. Cohen MR, Newsome WT (2004) What electrical microstimulation has revealed about the neural basis of cognition. Curr Opin Neurobiol 14:169–177PubMedCrossRefGoogle Scholar
  18. Dorris MC, Olivier E, Munoz DP (2007) Competitive integration of visual and preparatory signals in the superior colliculus during saccadic programming. J Neurosci 27:5053–5062PubMedCrossRefGoogle Scholar
  19. Faumont S, Lindsay TH, Lockery SR (2012) Neuronal microcircuits for decision making in C. elegans. Curr Opin Neurobiol 22:580–591PubMedCentralPubMedCrossRefGoogle Scholar
  20. Furman M, Wang XJ (2008) Similarity effect and optimal control of multiple-choice decision making. Neuron 60:1153–1168Google Scholar
  21. Gescheider GA (1997) Psychophysics: the fundamentals. Erlbaum, HillsdaleGoogle Scholar
  22. Gold JI, Shadlen MN (2000) Representation of a perceptual decision in developing oculomotor commands. Nature 404:390–394PubMedCrossRefGoogle Scholar
  23. Gold JI, Shadlen MN (2003) The influence of behavioral context on the representation of a perceptual decision in developing oculomotor commands. J Neurosci 23:632–651PubMedGoogle Scholar
  24. Gold JI, Shadlen MN (2007) The neural basis of decision making. Annu Rev Neurosci 30:535–574PubMedCrossRefGoogle Scholar
  25. Gross CG (1994) How inferior temporal cortex became a visual area. Cereb Cortex 4:455–469PubMedCrossRefGoogle Scholar
  26. Haefner RM, Gerwinn S, Macke JH, Bethge M (2013) Inferring decoding strategies from choice probabilities in the presence of correlated variability. Nat Neurosci 16:235–242PubMedCrossRefGoogle Scholar
  27. Hanes DP, Schall JD (1996) Neural control of voluntary movement initiation. Science 274:427–430PubMedCrossRefGoogle Scholar
  28. Hanks TD, Ditterich J, Shadlen MN (2006) Microstimulation of macaque area LIP affects decision-making in a motion discrimination task. Nat Neurosci 9:682–689PubMedCentralPubMedCrossRefGoogle Scholar
  29. Hayden BY, Pearson JM, Platt ML (2011) Neuronal basis of sequential foraging decisions in a patchy environment. Nat Neurosci 14:933–939PubMedCentralPubMedCrossRefGoogle Scholar
  30. Heekeren HR, Marrett S, Bandettini PA, Ungerleider LG (2004) A general mechanism for perceptual decision-making in the human brain. Nature 431:859–862PubMedCrossRefGoogle Scholar
  31. Heekeren HR, Marrett S, Ungerleider LG (2008) The neural systems that mediate human perceptual decision making. Nat Rev Neurosci 9:467–479PubMedCrossRefGoogle Scholar
  32. Hernández A, Salinas E, García R, Romo R (1997) Discrimination in the sense of flutter: new psychophysical measurements in monkeys. J Neurosci 17:6391–6400PubMedGoogle Scholar
  33. Heitz RP, Schall JD (2012) Neural mechanisms of speed-accuracy tradeoff. Neuron 76:616–628Google Scholar
  34. Hernández A, Nácher V, Luna R, Zainos A, Lemus L, Alvarez M, Vázquez Y, Camarillo L, Romo R (2010) Decoding a perceptual decision process across cortex. Neuron 66:300–314PubMedCrossRefGoogle Scholar
  35. Horwitz GD, Newsome WT (2001a) Target selection for saccadic eye movements: direction-selective visual responses in the superior colliculus. J Neurophysiol 86:2527–2542PubMedGoogle Scholar
  36. Horwitz GD, Newsome WT (2001b) Target selection for saccadic eye movements: prelude activity in the superior colliculus during a direction-discrimination task. J Neurophysiol 86:2543–2558PubMedGoogle Scholar
  37. Horwitz GD, Batista AP, Newsome WT (2004) Representation of an abstract perceptual decision in macaque superior colliculus. J Neurophysiol 91:2281–2296PubMedCrossRefGoogle Scholar
  38. Johnson KO, Hsiao SS, Blake DT (1996) Linearity as the basic law of psychophysics: evidence from studies of the neural mechanisms of roughness magnitude estimation. In: Franzén O, Johansson R, Terenius L (eds) Somesthesis and neurobiology of the somatosensory system. Birkhäuser, Basel, pp 213–228CrossRefGoogle Scholar
  39. Jun JK, Miller P, Hernández A, Zainos A, Lemus L, Brody CD, Romo R (2010) Heterogenous population coding of a short-term memory and decision task. J Neurosci 30:916–929PubMedCentralPubMedCrossRefGoogle Scholar
  40. Kawagoe R, Takikawa Y, Hikosaka O (1998) Expectation of reward modulates cognitive signals in the basal ganglia. Nat Neurosci 1:411–416PubMedCrossRefGoogle Scholar
  41. Kennerley SW, Walton ME (2011) Decision making and reward in frontal cortex: complementary evidence from neurophysiological and neuropsychological studies. Behav Neurosci 125:297–317PubMedCentralPubMedCrossRefGoogle Scholar
  42. Kiani R, Hanks TD, Shadlen MN (2008) Bounded integration in parietal cortex underlies decisions even when viewing duration is dictated by the environment. J Neurosci 28:3017–3029PubMedCrossRefGoogle Scholar
  43. Klaes C, Westendorff S, Chakrabarti S, Gail A (2011) Choosing goals, not rules: deciding among rule-based action plans. Neuron 70:536–548PubMedCrossRefGoogle Scholar
  44. Krajbich I, Rangel A (2011) Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions. Proc Natl Acad Sci U S A 108:13852–13857PubMedCentralPubMedCrossRefGoogle Scholar
  45. Lauwers K, Saunders R, Vogels R, Vandenbussche E, Orban GA (2000) Impairment in motion discrimination tasks is unrelated to amount of damage to superior temporal sulcus motion areas. J Comp Neurol 420:539–557PubMedCrossRefGoogle Scholar
  46. Lo CC, Wang XJ (2006) Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks. Nat Neurosci 9:956–963PubMedCrossRefGoogle Scholar
  47. Marder E (2011) Variability, compensation, and modulation in neurons and circuits. Proc Natl Acad Sci U S A 108(Suppl 3):15542–15548PubMedCentralPubMedCrossRefGoogle Scholar
  48. Miller EK, Cohen JD (2001) An integrative theory of prefrontal cortex function. Annu Rev Neurosci 24:167–202PubMedCrossRefGoogle Scholar
  49. Newsome WT, Britten KH, Movshon JA (1989) Neural correlates of a perceptual decision. Nature 341:52–54PubMedCrossRefGoogle Scholar
  50. Nichols MJ, Newsome WT (2002) Middle temporal visual area microstimulation influences veridical judgments of motion direction. J Neurosci 22:9530–9540PubMedGoogle Scholar
  51. O’Connell RG, Dockree PM, Kelly SP (2013) A supramodal accumulation-to-bound signal that determines perceptual decisions in humans. Nat Neurosci 15:1729–1735CrossRefGoogle Scholar
  52. Padoa-Schioppa C (2011) Neurobiology of economic choice: a good-based model. Annu Rev Neurosci 34:333–359PubMedCentralPubMedCrossRefGoogle Scholar
  53. Palmer CR, Kristan WB Jr (2011) Contextual modulation of behavioral choice. Curr Opin Neurobiol 21:520–526PubMedCentralPubMedCrossRefGoogle Scholar
  54. Palmer J, Huk AC, Shadlen MN (2005) The effect of stimulus strength on the speed and accuracy of a perceptual decision. J Vis 5:376–404PubMedCrossRefGoogle Scholar
  55. Parker AJ, Newsome WT (1998) Sense and the single neuron: probing the physiology of perception. Annu Rev Neurosci 21:227–277PubMedCrossRefGoogle Scholar
  56. Roitman JD, Shadlen MN (2002) Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J Neurosci 22:9475–9489PubMedGoogle Scholar
  57. Romo R, Hernández A, Zainos A, Salinas E (1998) Somatosensory discrimination based on cortical microstimulation. Nature 392:387–390Google Scholar
  58. Romo R, Salinas E (2001) Touch and go: decision-making mechanisms in somatosensation. Annu Rev Neurosci 24:107–137PubMedCrossRefGoogle Scholar
  59. Romo R, Salinas E (2003) Flutter discrimination: neural codes, perception, memory and decision making. Nat Rev Neurosci 4:203–218PubMedCrossRefGoogle Scholar
  60. Romo R, Brody CD, Hernández A, Lemus L (1999) Neuronal correlates of parametric working memory in the prefrontal cortex. Nature 399:470–473PubMedCrossRefGoogle Scholar
  61. Romo R, Hernández A, Zainos A, Brody CD, Lemus L (2000) Sensing without touching: psychophysical performance based on cortical microstimulation. Neuron 26:273–278PubMedCrossRefGoogle Scholar
  62. Romo R, Hernández A, Zainos A, Lemus L, Brody CD (2002) Neuronal correlates of decision-making in secondary somatosensory cortex. Nat Neurosci 5:1217–1225PubMedCrossRefGoogle Scholar
  63. Salinas E, Bentley NM (2009) Gain modulation as a mechanism for switching reference frames, tasks and targets. In: Josic K, Rubin J, Matias M, Romo R (eds) Coherent behavior in neuronal networks. Springer, New York, pp 121–142CrossRefGoogle Scholar
  64. Salinas E, Stanford TR (2013) The countermanding task revisited: fast stimulus detection is a key determinant of psychophysical performance. J Neurosci 33:5668–5685PubMedCrossRefGoogle Scholar
  65. Salinas E, Hernández H, Zainos A, Romo R (2000) Periodicity and firing rate as candidate neural codes for the frequency of vibrotactile stimuli. J Neurosci 20:5503–5515PubMedGoogle Scholar
  66. Salzman CD, Murasugi CM, Britten KH, Newsome WT (1992) Microstimulation in visual area MT: effects on direction discrimination performance. J Neurosci 12:2331–2355PubMedGoogle Scholar
  67. Seidemann E, Zohary U, Newsome WT (1998) Temporal gating of neural signals during performance of a visual discrimination task. Nature 394:72–75PubMedCrossRefGoogle Scholar
  68. Shadlen MN, Newsome WT (2001) Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J Neurophysiol 86:1916–1936PubMedGoogle Scholar
  69. Shankar S, Massoglia DP, Zhu D, Costello MG, Stanford TR, Salinas E (2011) Tracking the temporal evolution of a perceptual judgment using a compelled-response task. J Neurosci 31:8406–8421PubMedCentralPubMedCrossRefGoogle Scholar
  70. Sheinberg DL, Logothetis NK (1997) The role of temporal cortical areas in perceptual organization. Proc Natl Acad Sci U S A 94:3408–3413PubMedCentralPubMedCrossRefGoogle Scholar
  71. Shinkai Y, Yamamoto Y, Fujiwara M, Tabata T, Murayama T, Hirotsu T, Ikeda DD, Tsunozaki M, Iino Y, Bargmann CI, Katsura I, Ishihara T (2011) Behavioral choice between conflicting alternatives is regulated by a receptor guanylyl cyclase, GCY-28, and a receptor tyrosine kinase, SCD-2, in AIA interneurons of Caenorhabditis elegans. J Neurosci 31:3007–3015PubMedCrossRefGoogle Scholar
  72. Smith PL, Ratcliff R (2004) Psychology and neurobiology of simple decisions. Trends Neurosci 27:161–168PubMedCrossRefGoogle Scholar
  73. Spivey MJ, Grosjean M, Knoblich G (2005) Continuous attraction toward phonological competitors. Proc Natl Acad Sci U S A 102:10393–10398PubMedCentralPubMedCrossRefGoogle Scholar
  74. Stanford TR, Shankar S, Massoglia DP, Costello MG, Salinas E (2010) Perceptual decision making in less than 30 milliseconds. Nat Neurosci 13:379–385PubMedCentralPubMedCrossRefGoogle Scholar
  75. Takikawa Y, Kawagoe R, Itoh H, Nakahara H, Hikosaka O (2002) Modulation of saccadic eye movements by predicted reward outcome. Exp Brain Res 142:284–291PubMedCrossRefGoogle Scholar
  76. Uchida N, Kepecs A, Mainen ZF (2006) Seeing at a glance, smelling in a whiff: rapid forms of perceptual decision making. Nat Rev Neurosci 7:485–491PubMedCrossRefGoogle Scholar
  77. Wang XJ (2002) Probabilistic decision making by slow reverberation in cortical circuits. Neuron 36:955–968PubMedCrossRefGoogle Scholar
  78. Werner G (1980) The study of sensation in physiology. In: Mountcastle VB (ed) Medical physiology, vol I. CV Mosby, St Louis, pp 605–628Google Scholar
  79. Werner G, Mountcastle VB (1963) The variability of central neural activity in a sensory system, and its implications for the central reflection of sensory events. J Neurophysiol 26:958–977PubMedGoogle Scholar
  80. Werner G, Mountcastle VB (1965) Neural activity in mechanoreceptive cutaneous afferents: stimulus–response relations, Weber functions, and information transmission. J Neurophysiol 28:359–397PubMedGoogle Scholar
  81. Zariwala HA, Kepecs A, Uchida N, Hirokawa J, Mainen ZF (2013) The limits of deliberation in a perceptual decision task. Neuron 78:339–351PubMedCentralPubMedCrossRefGoogle Scholar
  82. Zhang Y, Lu H, Bargmann CI (2005) Pathogenic bacteria induce aversive olfactory learning in Caenorhabditis elegans. Nature 438:179–184PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Neurobiology & AnatomyWake Forest School of MedicineWinston-SalemUSA