Bibliography

Bibliography#

[BEL57]

RICHARD BELLMAN. A markovian decision process. Journal of Mathematics and Mechanics, 6(5):679–684, 1957. URL: http://www.jstor.org/stable/24900506 (visited on 2024-02-28).

[Bog07]

Rafal Bogacz. Optimal decision-making theories: linking neurobiology with behaviour. Trends in Cognitive Sciences, 11(3):118–125, March 2007. doi:10.1016/j.tics.2006.12.006.

[BAGP21]

Jeroen Brus, Helena Aebersold, Marcus Grueschow, and Rafael Polania. Sources of confidence in value-based choice. Nature Communications, 12(1):7337, December 2021. doi:10.1038/s41467-021-27618-5.

[CJ23]

Davide Chicco and Giuseppe Jurman. The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BioData Mining, 16(1):4, February 2023. doi:10.1186/s13040-023-00322-4.

[Fla79]

John Flavell. Metacognition and Cognitive Monitoring. October 1979.

[Fle24]

Stephen M Fleming. Metacognition and Confidence: A Review and Synthesis. Annual Review of Psychology, 2024.

[FD12]

Stephen M. Fleming and Raymond J. Dolan. The neural basis of metacognitive ability. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1594):1338–1349, May 2012. doi:10.1098/rstb.2011.0417.

[FL14]

Stephen M. Fleming and Hakwan C. Lau. How to measure metacognition. Frontiers in Human Neuroscience, July 2014. doi:10.3389/fnhum.2014.00443.

[FGSR19]

Laura Fontanesi, Sebastian Gluth, Mikhail S. Spektor, and Jörg Rieskamp. A reinforcement learning diffusion decision model for value-based decisions. Psychonomic Bulletin & Review, 26(4):1099–1121, August 2019. doi:10.3758/s13423-018-1554-2.

[FRW16]

B.U. Forstmann, R. Ratcliff, and E.-J. Wagenmakers. Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions. Annual Review of Psychology, 67(1):641–666, January 2016. doi:10.1146/annurev-psych-122414-033645.

[GPDW03]

Susan J. Galvin, John V. Podd, Vit Drga, and John Whitmore. Type 2 tasks in the theory of signal detectability: Discrimination between correct and incorrect decisions. Psychonomic Bulletin & Review, 10(4):843–876, December 2003. doi:10.3758/BF03196546.

[GS01]

J I Gold and M N Shadlen. Neural computations that underlie decisions about sensory stimuli. Trends Cogn Sci, 5(1):10–16, January 2001.

[GS07]

Joshua I. Gold and Michael N. Shadlen. The Neural Basis of Decision Making. Annual Review of Neuroscience, 30(1):535–574, July 2007. doi:10.1146/annurev.neuro.29.051605.113038.

[GLB15]

Piercesare Grimaldi, Hakwan Lau, and Michele A. Basso. There are things that we know that we know, and there are things that we do not know we do not know: Confidence in decision-making. Neuroscience & Biobehavioral Reviews, 55:88–97, August 2015. doi:10.1016/j.neubiorev.2015.04.006.

[KM12]

Adam Kepecs and Zachary F. Mainen. A computational framework for the study of confidence in humans and animals. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1594):1322–1337, May 2012. doi:10.1098/rstb.2012.0037.

[KR11]

Ian Krajbich and Antonio Rangel. Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions. Proceedings of the National Academy of Sciences, 108(33):13852–13857, August 2011. doi:10.1073/pnas.1101328108.

[Mam16]

Pascal Mamassian. Visual Confidence. Annual Review of Vision Science, 2(1):459–481, October 2016. doi:10.1146/annurev-vision-111815-114630.

[Mam20]

Pascal Mamassian. Confidence Forced-Choice and Other Metaperceptual Tasks*. Perception, 49(6):616–635, June 2020. doi:10.1177/0301006620928010.

[MSM15]

Florent Meyniel, Mariano Sigman, and Zachary F. Mainen. Confidence as Bayesian Probability: From Neural Origins to Behavior. Neuron, 88(1):78–92, October 2015. doi:10.1016/j.neuron.2015.09.039.

[Mic23]

Matthias Michel. Confidence in consciousness research. WIREs Cognitive Science, 14(2):e1628, March 2023. doi:10.1002/wcs.1628.

[MileticBT+21]

Steven Miletić, Russell J Boag, Anne C Trutti, Niek Stevenson, Birte U Forstmann, and Andrew Heathcote. A new model of decision processing in instrumental learning tasks. eLife, 10:e63055, January 2021. doi:10.7554/eLife.63055.

[MC01]

Earl K. Miller and Jonathan D. Cohen. An Integrative Theory of Prefrontal Cortex Function. Annual Review of Neuroscience, 24(1):167–202, March 2001. doi:10.1146/annurev.neuro.24.1.167.

[MIM22]

Catherine E. Myers, Alejandro Interian, and Ahmed A. Moustafa. A practical introduction to using the drift diffusion model of decision-making in cognitive psychology, neuroscience, and health sciences. Frontiers in Psychology, 13:1039172, December 2022. doi:10.3389/fpsyg.2022.1039172.

[PB10]

Timothy J. Pleskac and Jerome R. Busemeyer. Two-stage dynamic signal detection: A theory of choice, decision time, and confidence. Psychological Review, 117(3):864–901, 2010. doi:10.1037/a0019737.

[PDK16]

Alexandre Pouget, Jan Drugowitsch, and Adam Kepecs. Confidence and certainty: distinct probabilistic quantities for different goals. Nature Neuroscience, 19(3):366–374, March 2016. doi:10.1038/nn.4240.

[Rat78]

Roger Ratcliff. A theory of memory retrieval. Psychological review, 85(2):59, 1978.

[RM08]

Roger Ratcliff and Gail McKoon. The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks. Neural Computation, 20(4):873–922, April 2008. doi:10.1162/neco.2008.12-06-420.

[RSBM16]

Roger Ratcliff, Philip L. Smith, Scott D. Brown, and Gail McKoon. Diffusion Decision Model: Current Issues and History. Trends in Cognitive Sciences, 20(4):260–281, April 2016. doi:10.1016/j.tics.2016.01.007.

[SN01]

M N Shadlen and W T Newsome. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J Neurophysiol, 86(4):1916–1936, October 2001.

[ST99]

Harold Stanislaw and Natasha Todorov. Calculation of signal detection theory measures. Behavior Research Methods, Instruments, & Computers, 31(1):137–149, March 1999. doi:10.3758/BF03207704.

[UM01]

M Usher and J L McClelland. The time course of perceptual choice: the leaky, competing accumulator model. Psychol Rev, 108(3):550–592, July 2001.

[VRBMH20]

Don Van Ravenzwaaij, Scott D. Brown, A. A. J. Marley, and Andrew Heathcote. Accumulating advantages: A new conceptualization of rapid multiple choice. Psychological Review, 127(2):186–215, March 2020. doi:10.1037/rev0000166.

[WW48]

Abraham Wald and Jacob Wolfowitz. Optimum character of the Sequential Probability Ratio Test. 1948.

[Wan02]

Xiao-Jing Wang. Probabilistic decision making by slow reverberation in cortical circuits. Neuron, 36(5):955–968, December 2002.

[YS12]

Nick Yeung and Christopher Summerfield. Metacognition in human decision-making: confidence and error monitoring. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1594):1310–1321, May 2012. doi:10.1098/rstb.2011.0416.