Alex Petrov's Publication List

This page lists the publications of Alexander Petrov as of September 2024, organized by outlet type. The same list is also available in reverse chronological order.

• Books
• Journal Articles
• Book Chapters and Conference Proceedings (Peer Reviewed)
• Abstracts and Posters
• Dissertation and Technical Reports
• Copyright Notice

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Books

Petrov, A. A. (2013)

Associative Memory-Based Reasoning: A Computational Model of Analogy-Making in a Decentralized Multi-Agent Cognitive Architecture. Saarbrücken, Germany: Lambert Academic Publishing. ISBN 978-3-659-26248-7.
Abstract Full text (pdf) Purchase on Amazon

Journal Articles

Petrov, A., Yu, Y., & Todd, J. T. (2022)

Are Mirror-Symmetric Objects of Special Importance for 3D Shape Perception? A Reply to Sawada and Pizlo (2022). Journal of Vision, 22 (4:16), 1-5, DOI: 10.1167/jov.22.4.16.
Abstract Reprint (pdf) Companion article 1 Companion article 2

Todd J. T. & Petrov, A. (2022)

The many facets of shape. Journal of Vision, 22 (1:1), 1-30, DOI: 10.1167/jov.22.1.1.
Abstract Reprint (pdf)

Yu, Y., Petrov, A. & Todd J. T. (2021)

Bilateral symmetry has no effect on stereoscopic shape judgments. i-Perception, 12 (4), 1-18, DOI: 10.1177/20416695211042644.
Award: Eearly Career Advancement Prize
Abstract Reprint (pdf) Companion article 1 Companion article 2

Yu, Y., Todd, J. T. & Petrov, A. (2021)

Failures of stereoscopic shape constancy over changes of viewing distance and size for bilaterally symmetric polyhedra. Journal of Vision, 21 (6:5), 1-19, DOI: 10.1167/jov.21.6.5.
Abstract Reprint (pdf) Companion article 1 Companion article 2

Liu, Q., Petrov, A., Lu, Z.-L., & Turner, B. M. (2020)

Extensions of multivariate dynamical systems to simultaneously explain neural and behavioral data. Computational Brain & Behavior, 3 (4), 430-457, DOI: 10.1007/s42113-020-00072-0.
Abstract Reprint (pdf)

Sawada, T. & Petrov, A. (2017)

The divisive normalization model of V1 neurons: A comprehensive comparison of physiological data and model predictions. Journal of Neurophysiology, 118 (6), 3051-3091. doi: 10.1152/jn.00821.2016.
Award: Fred Brown Research Award of the OSU Department of Psychology
Abstract Reprint (pdf) Software (on GitHub) YouTube podcast Companion article

Hayes, T. & Petrov, A. (2016a)

Mapping and correcting the influence of gaze position on pupil size measurements. Behavior Research Methods, 48 (2), 510-527.
Award: Best Article of the Year
Abstract Reprint (pdf)

Hayes, T. & Petrov, A. (2016b)

Pupil diameter tracks the exploration-exploitation tradeoff during analogical reasoning and explains individual differences in fluid intelligence. Journal of Cognitive Neuroscience, 28 (2), 308-318.
Abstract Reprint (pdf)

Hayes, T., Petrov, A. & Sederberg, P. (2015)

Do We Really Become Smarter When Our Fluid-Intelligence Test Scores Improve? Intelligence, 48 (1), 1-14,
Abstract Reprint (pdf) Companion article

Petrov, A. & Van Horn, N. (2012)

Motion aftereffect duration is not changed by perceptual learning: Evidence against the representation modification hypothesis. Vision Research, 61, 4-14.
Abstract Reprint (pdf) Matlab report (html)

Petrov, A., Van Horn, N. & Todd, J. (2011)

The visual identification of relational categories. Journal of Vision, 11 (12:11), 1-11, http://www.journalofvision.org/11/12/11/.
Abstract Reprint (pdf)

Hayes, T., Petrov, A. & Sederberg, P. (2011)

A novel method for analyzing sequential eye movements reveals strategic influence on Raven's Advanced Progressive Matrices. Journal of Vision, 11 (10:10), 1-11, http://www.journalofvision.org/11/10/10/.
Abstract Reprint (pdf) Matlab report (html) Companion article

Petrov, A., Van Horn, N., & Ratcliff, R. (2011)

Dissociable perceptual learning mechanisms revealed by diffusion-model analysis. Psychonomic Bulletin & Review, 18(3), 490-497.
Abstract Reprint (pdf) Supplement (pdf) Matlab report (html)

Petrov, A. (2011)

Category rating is based on prototypes and not instances: Evidence from feedback-dependent context effects. Journal of Experimental Psychology: Human Perception and Performance, 37 (2), 336-356.
Abstract Reprint (pdf) Data

Petrov, A. & Hayes, T. R. (2010)

Asymmetric transfer of perceptual learning of luminance- and contrast-modulated motion. Journal of Vision, 10 (14:11), 1-22, http://www.journalofvision.org/10/14/11/.
Abstract Reprint (pdf) Matlab reports (html)

Petrov, A., Jilk, D., & O'Reilly, R. (2010)

The Leabra architecture: Specialization without modularity. Behavioral and Brain Sciences, 33 (4), 286-287.
Abstract Reprint (pdf)

Petrov, A. (2009)

Symmetry-based methodology for decision-rule identification in same-different experiments. Psychonomic Bulletin & Review, 16(6), 1011-1025.
Abstract Reprint (pdf)

Jeter, P. E., Dosher, B. A., Petrov, A., & Lu, Z.-L. (2009)

Task precision at transfer determines specificity of perceptual learning. Journal of Vision, 9(3): 1, 1-13, http://www.journalofvision.org/9/3/1/.
Abstract Reprint (pdf)

Petrov, A. (2008a)

Additive or multiplicative perceptual noise? Two equivalent forms of the ANCHOR model. Journal of Social & Psychological Sciences, 1(2), 123-143.
Abstract Reprint (pdf)

Petrov, A. (2008b)

Relational priming plays a supporting but not leading role in adult analogy-making. Behavioral and Brain Sciences, 31(4), 392-393.
Abstract Reprint (pdf)

Petrov, A., Dosher, B., & Lu, Z.-L. (2006)

Perceptual Learning Without Feedback in Non-Stationary Contexts: Data and Model. Vision Research, 46(19), 3177-3197.
Abstract Reprint (pdf) Data sets Software

Petrov, A., Dosher, B., & Lu, Z.-L. (2005)

The Dynamics of Perceptual Learning: An Incremental Reweighting Model. Psychological Review, 112(4), 715-743.
Abstract Reprint (pdf) Data sets Software

Petrov, A. & Anderson, J. R. (2005)

The Dynamics of Scaling: A Memory-Based Anchor Model of Category Rating and Absolute Identification. Psychological Review, 112(2), 383-416.
Abstract Reprint (pdf) ANCHOR Project Software

Alexandrova, B., Terzieva, M., Petrov, A., Tarnev, I. & Mavlov, L. (1996)

[A study of visuo-perceptive and imagery abilities. I: Assessment of visuo-perceptive abilities] (In Bulgarian). Bulgarian Journal of Psychology, 3, 76-91.
Abstract Reprint (pdf)

Terzieva, M., Alexandrova, B., Petrov, A., Tarnev, I. & Mavlov, L. (1996)

[A study of visuo-perceptive and imagery abilities. II: Assessment of mental-image generation and transformation] (In Bulgarian). Bulgarian Journal of Psychology, 4, ??-??.

Book Chapters and Conference Proceedings (Peer Reviewed)

Petrov, A. A. & Du, A. Y. (2024)

Are Abstract Relational Roles Encoded Visually? Evidence from Priming Effects. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Conference of the Cognitive Science Society (pp. 5175-5182). Rotterdam, The Netherlands.
Abstract Reprint (pdf) Companion dissertation chapter R script: Main analysis R script: Learning curves

Du, A. Y., Hummel, J. E., & Petrov, A. A. (2022)

Exaggeration of stimulus attributes in the representation of relational categories. In J. Culbertson, A. Perfors, H. Rabagliati & V. Ramenzoni (Eds.), Proceedings of the 44th Conference of the Cognitive Science Society (pp. 3333-3338). Toronto, Canada.
Abstract Reprint (pdf) Poster (pdf) Companion article

Du, A. Y., Hummel, J. E., & Petrov, A. A. (2021)

Probing the mental representation of relation-defined categories. In T. Fitch, C. Lamm, H. Leder, & K. Tessmar-Raible (Eds.), Proceedings of the 43rd Conference of the Cognitive Science Society (pp. 2024-2030). Vienna, Austria.
Abstract Reprint (pdf) Poster (pdf) Companion article

Webb, T. W., Dulberg, Z., Frankland, S. M., Petrov, A. A. O'Reilly, R. C., & Cohen, J. D. (2020)

Learning representations that support extrapolation. In H. Daume III & A. Singh (Eds.), Proceedings of the 37th International Conference on Machine Learning (pp. 10136-10146).
Abstract Reprint (pdf) Software (on GitHub)

Frankland, S. M., Webb, T. W., Petrov, A. A. O'Reilly, R. C., & Cohen, J. D. (2019)

Extracting and utilizing abstract, structured representations for analogy. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Conference of the Cognitive Science Society (pp. 1766-1772). Montreal, QB: Cognitive Science Society.
Abstract Reprint (pdf)

Sawada, T. & Petrov, A. A. (2015)

A study of the role of the maintained-discharge parameter in the divisive normalization model of V1 neurons. In A. Rodriguez-Sanchez & J. Symons (Eds.), Proceedings of the First International Workshop on Computational Models of the Visual Cortex: Hierarchies, Layers, Sparsity, Saliency and Attention (pp. 1-4). Springer.
Abstract Preprint (pdf) Companion article

O'Reilly, R. C., Petrov, A. A., Cohen, J. C., Lebiere, C. J., Herd, S. A., & Kriete, T. (2014)

How Limited Systematicity Emerges: A Computational Cognitive Neuroscience Approach. In P. Calvo & J. Symons (Eds.), The architecture of cognition: Rethinking Fodor and Pylyshyn's Systematicity Challenge (pp. 191-226). Cambridge, MA: MIT Press.
Abstract Reprint (pdf) Searchable preprint (pdf) Purchase on Amazon

Petrov, A. (2006)

Computationally efficient approximation of the base-level learning equation in ACT-R. In D. Fum, F. del Missier, & A. Stocco (Eds.), Proceedings of the 2006 Seventh International Conference on Cognitive Modeling.
Brief description Preprint (pdf) Software

Petrov, A. (2003)

Additive or Multiplicative Perceptual Noise? Two Equivalent Forms of the ANCHOR Model. In R. Alterman & D. Kirsh (Eds.), Proceedings of the Twenty-Fifth Annual Conference the Cognitive Science Society (pp. 922-927). Hillsdale, NJ: LEA.
Abstract Preprint (pdf) ANCHOR Project Software

Petrov, A. (2001)

Fitting the ANCHOR Model to Individual Data: A Case Study in Bayesian Methodology. In E. M. Altmann, A. Cleeremans, C. D. Schunn, & W. D. Gray (Eds.), Proceedings of the 2001 Fourth International Conference on Cognitive Modeling (pp. 175-180). Mahwah, NJ: LEA.
Abstract Preprint (pdf) Slides (pdf) ANCHOR Project Software

Kokinov, B. & Petrov, A. (2001)

Integrating memory and reasoning in analogy-making: The AMBR model. In D. Gentner, K. Holyoak, & B. Kokinov (Eds.), The analogical mind: Perspectives from cognitive science (pp. 59-124). Cambridge, MA: MIT Press.
Abstract Excerpts Preprint (pdf)

Petrov, A. & Anderson, J. R. (2000)

ANCHOR: A Memory-Based Model of Category Rating. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the Twenty-Second Annual Conference the Cognitive Science Society (pp. 369-374). Hillsdale, NJ: LEA.
Abstract Full text Preprint (pdf) Slides (pdf)

Kokinov, B. & Petrov, A. (2000)

Dynamic extension of episode representation in analogy-making in AMBR. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the Twenty-Second Annual Conference the Cognitive Science Society (pp. 274-279). Hillsdale, NJ: LEA.
Abstract Preprint (pdf)

Petrov, A. & Kokinov, B. (1999)

Processing symbols at variable speed in DUAL: Connectionist activation as power supply. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (vol. 2, pp. 846-851).
Abstract Full text Preprint (pdf)

Petrov, A. & Kokinov, B. (1998)

Mapping and access in analogy-making: Independent or interactive? A Simulation Experiment with AMBR. In K. Holyoak, D. Gentner, & B. Kokinov (Eds.), Advances in analogy research: Integration of theory and data from the cognitive, computational, and neural sciences (pp. 124-134). Sofia: NBU Press.
Abstract Full text Preprint (pdf)

Kokinov, B., Nikolov, V., & Petrov, A. (1996)

Dynamics of emergent computation in DUAL. In A. Ramsay (Ed.), Artificial intelligence: Methodology, systems, applications (pp. 303-311). Amsterdam: IOS Press.
Abstract Preprint (pdf)

Abstracts and Posters

This section is updated infrequently. See my curriculum vitae for the most up-to-date list.

Petrov, A. (2006)

Bayesian method for repeated threshold estimation [Abstract]. In Proceedings of the 2006 Meeting of the Vision Sciences Society.
Abstract Slides (pdf) Handout (pdf)

Petrov, A. (2005)

Bayesian method for repeated threshold estimation [Abstract]. In Proceedings of the 38th Annual Meeting of the Society for Mathematical Psychology.
Abstract Slides (pdf)

Jeter, P., Dosher, B., Petrov, A., & Lu, Z.-L. (2005)

Identical transfer of perceptual learning following easy and difficult task training [Abstract]. Journal of Vision, 5(8), 710a, http://www.journalofvision.org/5/8/710/. (Poster presented at the 2005 Meeting of the Vision Sciences Society)
Abstract Poster (pdf)

Petrov, A. (2004)

Non-Stationary Response Distribution: A Telltale Sign of the Dynamics of Category Rating. Abstracts of the Psychonomic Society, 9, 4097.
Abstract Poster (pdf) ANCHOR Project Software

Petrov, A., Dosher, B., & Lu, Z.-L. (2004)

Comparable perceptual learning with and without feedback in non-stationary context: Data and model [Abstract]. Journal of Vision, 4(8), 306a, http://journalofvision.org/4/8/306/. (Poster presented at the 2004 Meeting of the Vision Sciences Society)
Abstract Poster (pdf) Data

Petrov, A. (2004)

The Dynamics of Direct Psychophysical Scaling: A Memory-Based Model. [Abstract]. Journal of Mathematical Psychology, 49 (1), 90-91.
Abstract Slides (pdf) ANCHOR Project Software

Petrov, A., Dosher, B., & Lu, Z.-L. (2003)

A computational model of perceptual learning through incremental channel re-weighting predicts switch costs in non-stationary contexts [Abstract]. Journal of Vision, 3(9), 670a, http://journalofvision.org/3/9/670/. (Poster presented at the 2003 Meeting of the Vision Sciences Society)
Abstract Poster (pdf) Data

Petrov, A. (2003)

ANCHOR: A Dynamic, Memory-Based Model of Psychophysical Scaling. Abstracts of the Psychonomic Society, 8, 4111.
Abstract ANCHOR Project Software

Petrov, A., Dosher, B., & Lu, Z.-L. (2003)

A computational model of perceptual learning through incremental channel re-weighting predicts switch costs in non-stationary contexts [Abstract]. In Proceedings of the Fifth UCI Neuroscience Symposium (abstract 25). University of California, Irvine.
Abstract Slides (pdf)

Dissertation and Technical Reports

Petrov, A. (1998)

A dynamic emergent computational model of analogy-making based on decentralized representations. Unpublished doctoral dissertation, New Bulgarian University, Sofia, Bulgaria.
Overview Thesis (pdf) Book preface Book (pdf)

Andonova, E., Gerganov, E., Petrov, A., & Misheva, A. (1996)

Sentence interpretation in Bulgarian. (Tech. Rep. No. NBU-COG-96-1). Sofia: New Bulgarian University, Department of Cognitive Science and Psychology.