Hi, I am Alexander (Sasha) Pastukhov.

I am a behavioral neuroscientist / scientific programmer keenly interested in visual perception, consciousness, attention, and decision making. My favorite tool: multistable displays, like the rotating head (yes, that is me!) on the left.

 Twitter @PastukhovSasha
 Department of General Psychology and Methodology @ University of Bamberg



Alexander Pastukhov and Christian-Claus Carbon (2021). Clever Cats: Do They Utilize Change Blindness as a Covered Approaching Strategy?. i-Perception, 12(1), 204166952199459. doi:10.1177/2041669521994597.


Alexander Pastukhov, Kristina Burkel, and Christian-Claus Carbon (2020). Shape specificity of neural persistence for the kinetic-depth effect matches perceptual adaptation but not sensory memory. Attention, Perception, & Psychophysics, , . doi:10.3758/s13414-019-01954-7.
Johannes Leder, Alexander Pastukhov, and Astrid Schütz (2020). Sharing with a Stranger: People Are More Generous with Time than Money.. Comprehensive Results in Social Psychology, , 1-30. doi:10.1080/23743603.2020.1831377.
Johannes Leder, Alexander Pastukhov, and Astrid Schütz (2020). Social Value Orientation, Subjective Effectiveness, Perceived Cost, and the Use of Protective Measures During the COVID-19 Pandemic in Germany.. Comprehensive Results in Social Psychology, , 1-23. doi:10.1080/23743603.2020.1828850.


Alexander Pastukhov, Philipp Kastrup, Isabel Friederike Abs, and Christian-Claus Carbon (2019). Switch rates for orthogonally-oriented kinetic-depth displays are correlated across observers. Journal of Vision, 19(6), 1, 1-13. doi:10.1167/19.6.1.


Alexander Pastukhov, Christina Rita Zaus, Stepan Aleshin, Jochen Braun, and Christian-Claus Carbon (2018). Perceptual coupling induces co-rotation and speeds up alternations in adjacent bi-stable structure-from-motion objects. Journal of Vision, 18(4), 21. doi:10.1167/18.4.21.
Christian-Claus Carbon and Alexander Pastukhov (2018). Reliable top-left light convention starts with Early Renaissance: An extensive approach comprising 10k artworks. Frontiers in Psychology, 9(April), 1-7. doi:10.3389/fpsyg.2018.00454.
Alexander Pastukhov, Johanna Prasch, and Christian-Claus Carbon (2018). Out of sight, out of mind: lack of persistence for occluded moving bi-stable structure-from-motion displays. Attention, Perception, & Psychophysics, 80(5), 1193–1204. doi:10.3758/s13414-018-1505-z.
Astrid Schütz, Dario Nalis, and Alexander Pastukhov (2018). The Bamberg Trucking Game: A Paradigm for Assessing the Detection of Win-Win Solutions in a Potential Conflict Scenario. Frontiers in Psychology, 9(February), 1-13. doi:10.3389/fpsyg.2018.00138.
Dina Devyatko and Alexander Pastukhov (2018). Extrinsic grouping factors in motion-induced blindness. PLOS ONE, 13(1), e0192133. doi:10.1371/journal.pone.0192133.


Alexander Pastukhov (2017). First, you need a Gestalt: An interaction of bottom-up and top-down streams during the perception of the ambiguously rotating human walker. Scientific Reports, 7(1), 1158. doi:10.1038/s41598-017-01376-1.


Robin Cao, Alexander Pastukhov, Mattia Maurizio, and Jochen Braun (2016). Collective Activity of Many Bistable Assemblies Reproduces Characteristic Dynamics of Multistable Perception. Journal of Neuroscience, 36(26), 6957-6972. doi:10.1523/JNEUROSCI.4626-15.2016.
Alexander Pastukhov and Jan-Nikolas Klanke (2016). Exogenously triggered perceptual switches in multistable structure-from-motion occur in the absence of visual awareness. Journal of Vision, 16(3), 14. doi:10.1167/16.3.14.
Alexander Pastukhov (2016). Perception and the strongest sensory memory trace of multi-stable displays both form shortly after the stimulus onset. Attention, Perception, & Psychophysics, 78(2), 674-684. doi:10.3758/s13414-015-1004-4.


Alexander Pastukhov, Solveiga Vivian-Griffiths, and Jochen Braun (2015). Transformation priming helps to disambiguate sudden changes of sensory inputs. Vision Research, 116, 36-44. doi:10.1016/j.visres.2015.09.005.


Alexander Pastukhov, Anna Lissner, Jana Füllekrug, and Jochen Braun (2014). Sensory memory of illusory depth in structure-from-motion.. Attention, perception & psychophysics, 76(1), 123-32. doi:10.3758/s13414-013-0557-3.
Alexander Pastukhov, Anna Lissner, and Jochen Braun (2014). Perceptual adaptation to structure-from-motion depends on the size of adaptor and probe objects, but not on the similarity of their shapes. Attention, Perception, & Psychophysics, 76(2), 473-488. doi:10.3758/s13414-013-0567-1.


Alexander Pastukhov, Pedro E García-Rodríguez, Joachim Haenicke, Antoni Guillamon, Gustavo Deco, and Jochen Braun (2013). Multi-stable perception balances stability and sensitivity. Frontiers in Computational Neuroscience, 7(17), 17. doi:10.3389/fncom.2013.00017.
Alexander Pastukhov, Jana Füllekrug, and Jochen Braun (2013). Sensory memory of structure-from-motion is shape-specific. Attention, Perception, & Psychophysics, 75(6), 1215-1229. doi:10.3758/s13414-013-0471-8.
Alexander Pastukhov, Victoria Vonau, Solveiga Stonkute, and Jochen Braun (2013). Spatial and temporal attention revealed by microsaccades. Vision Research, 85(0), 45-57. doi:10.1016/j.visres.2012.11.004.
Alexander Pastukhov and Jochen Braun (2013). Structure-from-motion: dissociating perception, neural persistence, and sensory memory of illusory depth and illusory rotation. Attention, Perception, & Psychophysics, 75(2), 322-340. doi:10.3758/s13414-012-0390-0.
Alexander Pastukhov and Jochen Braun (2013). Disparate time-courses of adaptation and facilitation in multi-stable perception. Learning & Perception, 5(Supplement 2), 101-118. doi:10.1556/LP.5.2013.Suppl2.7.


Solveiga Stonkute, Jochen Braun, and Alexander Pastukhov (2012). The Role of Attention in Ambiguous Reversals of Structure-From-Motion. PLoS ONE, 7(5), e37734. doi:10.1371/journal.pone.0037734.
Alexander Pastukhov, Victoria Vonau, and Jochen Braun (2012). Believable change: Bistable reversals are governed by physical plausibility. Journal of Vision, 12(1), 17-17. doi:10.1167/12.1.17.


Mariann Hudak, Patricia Gervan, Björn Friedrich, Alexander Pastukhov, Jochen Braun, and Ilona Kovacs (2011). Increased readiness for adaptation and faster alternation rates under binocular rivalry in children.. Frontiers in human neuroscience, 5(128), 128. doi:10.3389/fnhum.2011.00128.
Alexander Pastukhov and Jochen Braun (2011). Cumulative history quantifies the role of neural adaptation in multistable perception. Journal of Vision, 11(10), 12-12. doi:10.1167/11.10.12.


Alexander Pastukhov, Victoria Vonau, and Jochen Braun (2010). No Stopping and No Slowing: Removing Visual Attention with No Effect on Reversals of Phenomenal Appearance. Artificial Neural Networks – ICANN 2010, 6354, 510-515. doi:10.1007/978-3-642-15825-4_70.
Alexander Pastukhov and Jochen Braun (2010). Rare but precious: Microsaccades are highly informative about attentional allocation. Vision Research, 50(12), 1173-1184. doi:10.1016/j.visres.2010.04.007.


Alexander Pastukhov, Laura Fischer, and Jochen Braun (2009). Visual attention is a single, integrated resource. Vision Research, 49(10), 1166-1173. doi:10.1016/j.visres.2008.04.011.


Alexander Pastukhov and Jochen Braun (2008). A short-term memory of multi-stable perception. Journal of Vision, 8(13), 7-7. doi:10.1167/8.13.7.


Alexander Pastukhov and Jochen Braun (2007). Perceptual reversals need no prompting by attention. Journal of Vision, 7(10), 5. doi:10.1167/7.10.5.


TriDimRegression (R)

Package to calculate the bidimensional and tridimensional regression between two 2D/3D configurations. Uses Stan engine to provide posterior distribution of fits. Individual fits can be characterized via Bayesian R2 and compared via widely applicable information criteria (WAIC) or leave-one out cross-validation criteria (LOO).

CRAN: https://cran.r-project.org/package=TriDimRegression

eyelinkReader (R)

R package to import eye tracking recording generated by SR Research Eyelink eye tracker from EDF-files. It includes options to import events and/or recorded samples and extract individual events such as saccades, fixations, blinks, and recorded variables.


BiDimRegression (R)

Package to calculate the bidimensional regression between two 2D configurations following the approach by Tobler (1965). Provides fits and statistics for Eucledian, affine, and projective transformation. Individual fits can be compared via ANOVA.

CRAN: https://cran.r-project.org/package=BiDimRegression

edfImport (Matlab)

The library provides a simple interface to import contents of the EDF files generated by Eyelink eye-tracker into Matlab. It imports events and/or samples, automatically parsing them into separate trials. In addition to that, several post-processing functions can be used to extract selected events (fixations, saccades and blinks), variable values (TRIAL_VAR events) and microsaccades.


Teaching Notes

Python for social and experimental psychology

A two-semester introductory course on programming and Python aimed at undergraduate psychology students. The aim is to learn how to program psychological experiments using Python and PsychoPy by writing computer games (because experiments are simply boring computer games). The course assumes no prior knowledge or programming skills. The first semester covers basics including conditional statements, lists, dictionaries and use of PsychoPy. The second semester covers topics such as classes, generators, NumPy and Pandas libraries, programming online experiments, etc. You will program classic games such as "Guess the Number", "Hunt the Wumpus", "Memory", "Snake", "Life", "Guitar Hero" etc.


Data analysis using R for Psychology

An introductory course on how to use R to analyze a typical psychophysical and social psychology research data. The course will walk you through all the analysis stages from importing a raw data to compiling a nice looking final report that automatically incorporates all the figures and statistics. Although I will introduce base, the main focus is on using Tidyverse family of packages that make data wrangling easy.


Notes on Statistical Rethinking

Currently, a haphazard collection of notes that aim to clarify or expand on topics mentioned but not fully explained in the "Statistical Rethinking" book by Richard McElreath. The topics include detailed explanation of information criteria, loss functions, (hidden) collider bias, DAGs, multicolliniarity, etc.


R-version of the code for "Linear Algebra: Theory, Intuition, Code" by Mike X Cohen

An R-version that tries to keep the code as close to the original as possible.