Feature distribution learning

One of the driving questions in vision science is how our internal models of the world relate to the world itself. Quite often answers to this question are made by studying single stimuli (e.g, green circle) or sets of similar stimuli (a set of green circles). In contrast, we study how people encode perceptual ensembles (such as fields of grass or differently colored marbles). We use a new experimental paradigm based on priming of pop-out in visual search to study ensembles with different probability density functions and analyze the internal representations corresponding to these functions.

Tanrikulu, O. D., Chetverikov, A., & Kristjansson, A. (2020, April 30, under review). Testing temporal integration of feature probability distributions using role-reversal effects in visual search. Preprint is available at PsyArXiv. 10.31234/ Data/Scripts
Hansmann-Roth, S., Kristjansson, A., Whitney, D., & Chetverikov, A. (2020, March 5, under review). Limits of perception and richness of behaviour: Dissociating implicit and explicit ensemble representations. Preprint is available at PsyArXiv. 10.31234/ Data/Scripts
Tanrikulu, O. D., Chetverikov, A., Hansmann-Roth, S., & Kristjansson, A. (2019, December 5, under review). Is there empirical support for probabilistic mental representations? A case within visual perception. Preprint is available at PsyArXiv. 10.31234/
Tanrikulu, O. D., Chetverikov, A., & Kristjansson, A. (in print). Encoding perceptual ensembles during visual search in peripheral vision. Journal of Vision.
Rafiei, M., Hansmann-Roth, S., Whitney, D., Kristjansson, A., & Chetverikov, A. (2020). Optimizing perception: Attended and ignored stimuli create opposing perceptual biases. Attention, Perception, & Psychophysics Preprint is available at PsyArXiv. 10.3758/s13414-020-02030-1 Data/Scripts PDF
Chetverikov, A., Campana, G., & Kristjánsson, Á. (2020). Probabilistic rejection templates in visual working memory. Cognition, 196, pp. 104075. Preprint is available at PsyArXiv. 10.1016/j.cognition.2019.104075 Data/Scripts PDF
Hansmann-Roth, S., Chetverikov, A., & Kristjánsson, Á. (2019). Representing color and orientation ensembles: Can observers learn multiple feature distributions? Journal of Vision, 19(9), 1-17. 10.1167/19.9.2 PDF Data
Chetverikov, A., Hansmann-Roth, S., Tanrikulu, Ö. D., & Kristjansson, Á. (2019). Feature Distribution Learning (FDL): A New Method for Studying Visual Ensembles Perception with Priming of Attention Shifts. In Neuromethods (pp. 1–21). 10.1007/7657_2019_20 PDF
Chetverikov, A., Campana, G., & Kristjánsson, Á. (2017). Learning features in a complex and changing environment: A distribution-based framework for visual attention and vision in general. In Progress in brain research (Vol. 236, pp. 97–120). 10.1016/bs.pbr.2017.07.001 PDF
Chetverikov, A., Campana, G., & Kristjánsson, Á. (2017). Rapid learning of visual ensembles. Journal of Vision, 17(21), 1–15. 10.1167/17.2.21 PDF Data
Chetverikov, A., Campana, G., & Kristjánsson, Á. (2017). Representing Color Ensembles. Psychological Science, 28(10), 1–8. 10.1177/0956797617713787 PDF Data/Scripts
Chetverikov, A., Campana, G., & Kristjánsson, Á. (2017). Set size manipulations reveal the boundary conditions of distractor distribution learning. Vision Research, 140(November), 144–156. 10.1016/j.visres.2017.08.003 PDF Data
Chetverikov, A., Campana, G., & Kristjánsson, Á. (2016). Building ensemble representations: How the shape of preceding distractor distributions affects visual search. Cognition, 153, 196–210. 10.1016/j.cognition.2016.04.018 PDF Data

Affect-as-feedback for predictions

This project was the core of my PhD thesis. The idea is quite simple. Most of the cognitive acts can be treated as a prediction-making or inference process. But then what is the role of affect in this process? Why do we need to have a positive or negative experience? The hypothesis that we tested in a number of studies was that affect provides feedback for predictions' accuracy weighted by their prior probability. One of the corollaries was that, for example, errors should result in negative affect proportional to the amount of evidence in favor of the correct response. Crucially, here we are not talking about errors in some complex decision making ("Should I buy this car?") but rather about errors in very simple and to a large extent automatic processing ("Did I see this face before?").

Ivanchei, I., Begler, A., Iamschinina, P., Filippova, M., Kuvaldina, M., & Chetverikov, A. (2018). A different kind of pain: affective valence of errors and incongruence. Cognition and Emotion, 1–8. 10.1080/02699931.2018.1520077 PDF Data/Scripts
Chetverikov, A., Iamschinina, P., Begler, A., Ivanchei, I., Filippova, M., & Kuvaldina, M. (2017). Blame everyone: Error-related devaluation in Eriksen flanker task. Acta Psychologica, 180(September 2017), 155–159. 10.1016/j.actpsy.2017.09.008 PDF Data/Scripts
Chetverikov, A., & Kristjánsson, Á. (2016). On the joys of perceiving: Affect as feedback for perceptual predictions. Acta Psychologica, 169, 1–10. 10.1016/j.actpsy.2016.05.005 PDF
Chetverikov, A., & Kristjánsson, Á. (2015). History effects in visual search for monsters: Search times, choice biases, and liking. Attention, Perception, & Psychophysics, 77(2), 402–412. 10.3758/s13414-014-0782-4 PDF
Chetverikov, A., Jóhannesson, Ó. I., & Kristjánsson, Á. (2015). Blaming the victims of your own mistakes: How visual search accuracy influences evaluation of stimuli. Cognition and Emotion, 29(6), 1091–1106. 10.1080/02699931.2014.968097 PDF
Chetverikov, A., & Filippova, M. (2014). How to tell a wife from a hat: Affective feedback in perceptual categorization. Acta Psychologica, 151, 206–213. 10.1016/j.actpsy.2014.06.012 PDF
Chetverikov, A. (2014). Warmth of familiarity and chill of error: Affective consequences of recognition decisions. Cognition and Emotion, 28(3), 385–415. 10.1080/02699931.2013.833085 PDF

Other papers

Some other stuff I did over the years, ranging from tests of RT measument accuracy in online experiments to perception of #TheDress. Note: the list here includes only papers in English, check my CV or the Google Scholar page for the full list.

MacInnes, J., Jóhannesson, Ó. I., Chetverikov, A., & Kristjansson, A. (2020). No advantage for separating overt and covert attention in visual search. Vision, 4(2), 28. Preprint is available at PsyArXiv. Data
Rahnev, D., …, Chetverikov, A., … Zylberberg, A. (in print). The confidence database. Nature Human Behaviour. Preprint is available at PsyArXiv: Data
Kristjánsson, T., Thornton, I. M., Chetverikov, A., & Kristjánsson, Á. (2020). Dynamics of visual attention revealed in foraging tasks. Cognition, 194, 104032. 10.1016/j.cognition.2019.104032 PDF
Shurygina, O., Kristjánsson, Á., Tudge, L., & Chetverikov, A. (2019). Expectations and perceptual priming in a visual search task: Evidence from eye movements and behavior. Journal of Experimental Psychology: Human Perception and Performance, 45(4), 489–499. 10.1037/xhp0000618 PDF Data/Scripts
Chetverikov, A., Kuvaldina, M., Macinnes, W. J., Jóhannesson, Ó. I., & Kristjánsson, Á. (2018). Implicit processing during change blindness revealed with mouse-contingent and gaze-contingent displays. Attention, Perception, & Psychophysics, 80(4), 844–859. 10.3758/s13414-017-1468-5 PDF
Geurts, L. S., Chetverikov, A., Bergen, R. S. van, Zhou, Y. J., Bertana, A., & Jehee, J. F. (2018). Optimality is critical when it comes to testing computation-level hypotheses. Behavioral and Brain Sciences, 41, e231. 10.1017/S0140525X18001450
Kristjánsson, Á., Chetverikov, A., & Brinkhuis, M. (2017). How functional are functional viewing fields? Behavioral and Brain Sciences, 40, e143. 10.1017/S0140525X16000133 PDF
Chetverikov, A., & Ivanchei, I. (2016). Seeing “the Dress” in the Right Light: Perceived Colors and Inferred Light Sources. Perception, 45(8), 910–930. 10.1177/0301006616643664 PDF Data
Johannesson, O., Thornton, I. M., Smith, I. J., Chetverikov, A., & Kristjánsson, Á. (2016). Visual Foraging With Fingers and Eye Gaze. I-Perception, 7(2). 10.1177/2041669516637279 PDF
Marshev, V., Chetverikov, A., & Kuvaldina, M. (2016). Timing makes a difference: A study of change blindness with secondary task interference. Cognitie, Creier, Comportament/Cognition, Brain, Behavior, 20(5), 373–385. URL
Chetverikov, A., & Upravitelev, P. (2016). Online versus offline: The Web as a medium for response time data collection. Behavior Research Methods, 48(3), 1086–1099. 10.3758/s13428-015-0632-x PDF Data/Scripts

Side projects

Besides my main work, here are a few other things I take part in:

  • Think Cognitive Think Science - this is a non-governmental support fund for Russian students studying cognitive science. We provide grants, organize summer schools, and do other similar things to help the community.

  • APAstats - if you are using R and Markdown, you might be interested in this package that provides functions for describing the results of common statistical tests in APA style.