Professor, Institute of Brain and Psychological Sciences, Sichuan Normal University.
E-mail: mail@jandrewes.de
Education
PostDoc 2017-2020
with Prof. Einhäuser-Treyer
Institute of Physics, Chemnitz University of Technology, Germany
PostDoc 2013-2017
with Prof. David Melcher
Centre for Mind/Brain Sciences (CIMeC), Trento University, Rovereto, Italy
PostDoc 2011-2013
with Prof. James H. Elder
Centre for Vision Research (CVR) at York University, Toronto, Canada
PostDoc 2009-2011
with Prof. Rufin VanRullen
Centre de Recherche Cerveau et Cognition (CerCo) of the CNRS Toulouse, France
PostDoc 2008-2009
with Prof. Julia Trommershäuser and Prof. K. R. Gegenfurtner
Experimental Psychology, Giessen University, Germany
PostDoc 2006-2008
with Prof. Guillaume Masson
Institut de Neurosciences Cognitives de la Méditerranée (INCM) of the CNRS Marseille, France
Ph.D., Computational Neuroscience (Dr. rer. nat.) 2006
Dept. of Experimental Psychology, Giessen University, Germany
Area: classification of natural scenes, both algorithmic and in humans
Thesis: “Classification of Natural Scenes”
Advisors: Prof. K. R. Gegenfurtner and Prof. Simon J. Thorpe
Diploma (M.S.), Computer Science 2003
University of Luebeck, Germany
Minor: medical applications of computer science
Thesis: “Predictions of Saccadic Eye Movements with Dynamic Scenes”
Advisors: Prof. T. Martinetz and Dr. E. Barth
Research Interests
General
•Human visual perception and the associated information processing mechanisms
•How does our brain construct the world that we perceive?
•Eye tracking methodology
Current focus
•Temporal structure: relations between basic visual input and the resulting perceptual sensations
•Is visual perception continuous, or is it made of snapshots, known as perceptual moments?
•To what extent may stimuli be processed in the absence of awareness?
Methodology
•Psychophysics
•Eye tracking
•EEG/MEG
•CFS, binocular rivalry, stereoscopic stimulus displays
•Computational methods
Grants and Funding
Principal Investigator on “Recruitment Program of High-Level Foreign Experts” by the State Administration of Foreign Experts Affairs, People's Republic of China, 2015-2017 (3-year program, GDT20155300084, 170,000 CNY/year). Collaborators: David Melcher (PI), Weina Zhu (host)
2nd Investigator on National Science Foundation of China (NSFC) 2015 grant “Unconscious object processing in natural scenes” (61563056, 450,000CNY). PI: Weina Zhu.
2nd Investigator on Yunnan Education Department Key Project 2015 “Perception of the self-face in conscious and unconscious conditions” (2015Z010, 40,000CNY). PI: Weina Zhu.
Publications
Drewes J, Zhu W, & Melcher D (2020). The optimal spatial noise for continuous flash suppression masking is pink. Scientific Reports, 10(1), 1–11. https://doi.org/10.1038/s41598-020-63888-7
Drewes J, Zhu W, & Melcher D (2018). The edge of awareness: mask spatial density, but not color, determines optimal temporal frequency for continuous flash suppression. Journal of Vision, 18(1), 12–12. https://doi.org/10.1167/18.1.12
Zhu W, Drewes J (co-first author), Peatfield N, & Melcher D (2016). Differential visual processing of animal images, with and without conscious awareness. Frontiers in Human Neuroscience 10 (2016): 513. doi:10.3389/fnhum.2016.00513
Wutz A, Drewes J, & Melcher D (2016). Non-retinotopic perception of orientation: temporal integration of basic features operates in object-based coordinates. Journal of Vision 16, no. 10 (August 1, 2016): 3. doi:10.1167/16.10.3
Zhu W, Drewes J (co-first author), & Melcher D (2016). Time for awareness: mask temporal frequency determines continuous flash suppression effectiveness. PLOS ONE 11(7), e0159206. doi:10.1371/journal.pone.0159206
Drewes J, Goren G, Zhu W, & Elder J (2016). Recurrent processing in the formation of shape percepts. The Journal of Neuroscience 36, no. 1 (January 6, 2016): 185–92. doi:10.1523/JNEUROSCI.2347-15.2016
Drewes J, Zhu W, Wutz A, & Melcher D (2015). Dense sampling reveals behavioral oscillations in rapid visual categorization. Nature: Scientific Reports, 5, 16290; doi: 10.1038/srep16290
Drewes J, Zhu W, Hu Y, & Hu X (2014). Smaller Is Better: Drift in Gaze Measurements due to Pupil Dynamics. PLOS ONE 9(10), e111197. doi:10.1371/journal.pone.0111197
Drewes J, Zhu W, & Melcher D (2014). Dissociation between spatial and temporal integration mechanisms in Vernier fusion. Vision Research, 105, 21–28. doi:10.1016/j.visres.2014.08.017
Zhu W, & Drewes J (2013). Emotion-Based Music Classification. Information Technology Journal, 12: 4472-4475.
Zhu W, Drewes J, & Gegenfurtner KR (2013). Animal Detection in Natural Images: Effects of Color and Image Database. PLoS ONE, 8(10), e75816. doi:10.1371/journal.pone.0075816
Drewes J, Masson GS, & Montagnini A (2012). Shifts in reported gaze position due to changes in pupil size: ground truth and compensation. Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA ’12 (pp. 209–212). New York, NY, USA: ACM. doi:10.1145/2168556.2168596
Drewes J, & VanRullen R (2011). This Is the Rhythm of Your Eyes: The Phase of Ongoing Electroencephalogram Oscillations Modulates Saccadic Reaction Time. The Journal of Neuroscience, 31(12), 4698 -4708. doi:10.1523/JNEUROSCI.4795-10.2011
Drewes J, Trommershäuser J, Gegenfurtner, KR (2011). Parallel visual search and rapid animal detection in natural scenes. Journal of Vision, 11(2), 20. doi:10.1167/11.2.20
VanRullen R, Busch NA, Drewes J, Dubois J (2011). “Ongoing EEG phase as a trial-by-trial predictor of perceptual and attentional variability”. Frontiers in Perception Science, 2:, 60. doi:10.3389/fpsyg.2011.00060
Wichmann FA, Drewes J, Rosas P, Gegenfurtner KR (2010). “Animal detection in natural scenes: critical features revisited”, Journal of Vision 10(4):6.1-27, doi:10.1167/10.4.6
Barth E, Drewes J, and Martinetz T (2003). Individual predictions of eye-movements with dynamic scenes. In Bernice Rogowitz and Thrasyvoulos Pappas, editors, Electronic Imaging 2003, volume 5007, pages 252-259. SPIE, 2003.
【编辑:脑与心理科学研究院】
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