Abstract
Mathematical models are a useful tool for gaining insight into mechanisms of decision making. However, like other scientific methods, its application is not without pitfalls. This chapter demonstrates that it can be difficult to distinguish between alternative models and it illustrates that a model-based approach benefits from the availability of a rich dataset that provides sufficient constraints. Ideally, the dataset is not only comprised of behavioral data, but also contains neural data that provide information about the internal processing. The chapter focuses on two examples taken from perceptual decision making. In one case, information about response time distributions is used to reject a model that is otherwise consistent with accuracy data and mean response times. In the other case, only the availability of neural data allows a distinction between two alternative models that are both consistent with the behavioral data.
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Roitman JD, Shadlen MN (2002) Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J Neurosci 22(21):9475–9489
Palmer J, Huk AC, Shadlen MN (2005) The effect of stimulus strength on the speed and accuracy of a perceptual decision. J Vis 5(5):376–404. doi:10:1167/5.5.1
Britten KH, Shadlen MN, Newsome WT, Movshon JA (1993) Responses of neurons in macaque MT to stochastic motion signals. Vis Neurosci 10(6):1157–1169
Ditterich J, Mazurek ME, Shadlen MN (2003) Microstimulation of visual cortex affects the speed of perceptual decisions. Nat Neurosci 6(8):891–898. doi:10.1038/nn1094
Salzman CD, Murasugi CM, Britten KH, Newsome WT (1992) Microstimulation in visual area MT: effects on direction discrimination performance. J Neurosci 12(6):2331–2355
Ditterich J (2006) Stochastic models of decisions about motion direction: behavior and physiology. Neural Netw 19(8):981–1012. doi:10.1016/j.neunet.2006.05.042
Ratcliff R, Smith PL (2004) A comparison of sequential sampling models for two-choice reaction time. Psychol Rev 111(2):333–367. doi:10.1037/0033–295X.111.2.333
Ratcliff R, Rouder JN (1998) Modeling response times for two-choice decisions. Psychol Sci 9(5):347–356. doi:10.1111/1467–9280.00067
Gold JI, Shadlen MN (2001) Neural computations that underlie decisions about sensory stimuli. Trends Cogn Sci 5(1):10–16
Wald A (1945) Sequential tests of statistical hypotheses. Ann Math Stat 16(2):117–186. doi:10.1214/aoms/1177731118
Ditterich J (2006) Evidence for time-variant decision making. Eur J Neurosci 24(12):3628–3641. doi:10.1111/j.1460–9568.2006.05221.x
Drugowitsch J, Moreno-Bote R, Churchland AK, Shadlen MN, Pouget A (2012) The cost of accumulating evidence in perceptual decision making. J Neurosci 32(11):3612–3628. doi:10.1523/JNEUROSCI.4010–11.2012
Bogacz R, Brown E, Moehlis J, Holmes P, Cohen JD (2006) The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. Psychol Rev 113(4):700–765. doi:10.1037/0033–295X.113.4.700
Niwa M, Ditterich J (2008) Perceptual decisions between multiple directions of visual motion. J Neurosci 28(17):4435–4445. doi:10.1523/JNEUROSCI.5564–07.2008
Ditterich J (2010) A comparison between mechanisms of multi-alternative perceptual decision making: ability to explain human behavior, predictions for neurophysiology, and relationship with decision theory. Front Neurosci 4:184. doi:10.3389/fnins.2010.00184
Usher M, McClelland JL (2001) The time course of perceptual choice: the leaky, competing accumulator model. Psychol Rev 108(3):550–592
Wang XJ (2002) Probabilistic decision making by slow reverberation in cortical circuits. Neuron 36(5):955–968
Bollimunta A, Totten D, Ditterich J (2012) Neural dynamics of choice: single-trial analysis of decision-related activity in parietal cortex. J Neurosci 32(37):12684–12701. doi:10.1523/JNEUROSCI.5752–11.2012
Shadlen MN, Newsome WT (2001) Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J Neurophysiol 86(4):1916–1936
Hanks TD, Ditterich J, Shadlen MN (2006) Microstimulation of macaque area LIP affects decision-making in a motion discrimination task. Nat Neurosci 9(5):682–689. doi:10.1038/nn1683
Bollimunta A, Ditterich J (2012) Local computation of decision-relevant net sensory evidence in parietal cortex. Cereb Cortex 22(4):903–917. doi:10.1093/cercor/bhr165
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Ditterich, J. (2015). Distinguishing Between Models of Perceptual Decision Making. In: Forstmann, B., Wagenmakers, EJ. (eds) An Introduction to Model-Based Cognitive Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2236-9_13
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DOI: https://doi.org/10.1007/978-1-4939-2236-9_13
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