Abstract
Decisions are driven both by sensory evidence that provides objective information as well as the anticipated outcomes and their corresponding subjective valuation. In this study, temporal dynamics of decision making are explored using an EEG study by separating different timepoints viz., reward information, stimulus onset, and feedback. We found the corresponding fronto-parietal network that supported the mechanisms of integration reward value and stimulus information through the EEG study.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chen, M.Y., Jimura, K., White, C.N., Maddox, W.T., Poldrack, R.A.: Multiple brain networks contribute to the acquisition of bias in perceptual decision-making. Front. Neurosci. 9, 63 (2015)
Summerfield, C., Tsetsos, K.: Building bridges between perceptual and economic decision-making: neural and computational mechanisms. Front. Neurosci. 6, 70 (2012)
Feng, S., Holmes, P., Rorie, A., Newsome, W.T.: Can monkeys choose optimally when faced with noisy stimuli and unequal rewards? PLoS Comput. Biol. 5(2), e1000284 (2009)
Rorie, A.E., Gao, J., McClelland, J.L., Newsome, W.T.: Integration of sensory and reward information during perceptual decision-making in lateral intraparietal cortex (LIP) of the macaque monkey. PLoS One 5(2), e9308 (2010)
Chawla, M., Miyapuram, K.P.: Influence of previous choice and outcome in a two-alternative decision-making task. In: Arik, S., Huang, T., Lai, W.K., Liu, Q. (eds.) ICONIP 2015. LNCS, vol. 9490, pp. 467–474. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-26535-3_53
Delrome, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics. J. Neurosci. Methods 134, 9–21 (2004)
Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M., Muller, K.R.: Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal Process. Mag. 25(1), 41–56 (2008)
Gratton, G., Coles, M.G., Donchin, E.: A new method for off-line removal of ocular artifact. Electroencephalogr. Clin. Neurophysiol. 55(4), 468–484 (1983)
Mahesan, D., Chawla, M., Miyapuram, K.P.: The effect of reward information on perceptual decision-making. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds.) ICONIP 2016. LNCS, vol. 9950, pp. 156–163. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46681-1_19
Chawla, M., Miyapuram, K.P.: Context-sensitive computational mechanisms of decision making. J. Exp. Neurosci. 12, 1179069518809057 (2018)
Mulder, M.J., Wagenmakers, E.J., Ratcliff, R., Boekel, W., Forstmann, B.U.: Bias in the brain: a diffusion model analysis of prior probability and potential payoff. J. Neurosci. 32(7), 2335–2343 (2012)
Chawla, M., Miyapuram, K.P.: Timing and structure of reward information influences bias in perceptual decisions as revealed by a hierarchical drift diffusion model. In: International Conference on Cognitive Modelling (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chawla, M., Miyapuram, K.P. (2023). Temporal Dynamics of Value Integration in Perceptual Decisions: An EEG Study. In: Tanveer, M., Agarwal, S., Ozawa, S., Ekbal, A., Jatowt, A. (eds) Neural Information Processing. ICONIP 2022. Communications in Computer and Information Science, vol 1792. Springer, Singapore. https://doi.org/10.1007/978-981-99-1642-9_33
Download citation
DOI: https://doi.org/10.1007/978-981-99-1642-9_33
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-1641-2
Online ISBN: 978-981-99-1642-9
eBook Packages: Computer ScienceComputer Science (R0)