Aaron Clarke

Assistant Professor

AaronClarke Office: SC 114

Phone: +90 312 290 8771

E-mail: aaron.clarke@bilkent.edu.tr

Personal Website:  http://aaron.clarke.bilkent.edu.tr/

Education:

  • Ph.D. in Psychology, North Dakota State University, 2010
  • M.A. in Psychology , York University, 2006
  • B. Sc. in Psychology and Biology, University of Toronto, 2001

Research:

Areas of interest: Vision, perceptual learning, multisensory integration, reinforcement learning, schizophrenia, ageing, visual illusions, computational models of visual perception, machine learning, visual crowding, natural image statistics

Selected Publications

Agaoglu M., Clarke A.M., Herzog M.H., ├ľ─čmen H. (2016). Motion-based nearest vector metric for reference frame selection in the perception of motion. Journal of Vision, 16(7):14, 1-16. [url]

Manassi M., Lonchampt S., Clarke A., Herzog H.M. (2016). What crowding can tell us about object representations. Journal of Vision, 16(3):35, 1ÔÇô13.

Clarke A.M., ├ľ─čmen H., Herzog H.M. (2015). A computational model for reference-frame synthesis with applications to motion perception. Vision Research.

Clarke, A.M., Friedrich, J., Tartaglia, E.M., Marchesotti, S., Senn, W. & Herzog, M.H. (2015). Human and Machine Learning in Non-Markovian Decision Making. PLoS One, 10(4): e0123105. doi:10.1371/journal.pone.0123105.

Herzog, M.H. & Clarke, A.M. (2014). Why vision is not both hierarchical and feedforward. Frontiers in Computational Neuroscience, 8:135. doi: 10.3389/fncom.2014.00135.

Cappe, C., Clarke, A. M., Mohr, C. & Herzog, M.H. (2014). Is there a common factor for vision? Journal of Vision. 14(8): 1-11.

Clarke, A. M., Grzeczkowski, L., Mast, F. W., Gauthier, I., & Herzog, M. H. (2014). Deleterious effects of roving on learned tasks. Vision research, 99: 88-92.

Aberg, K. C., Clarke, A. M., Sandi, C., & Herzog, M. H. (2012). Trait anxiety and post-learning stress do not affect perceptual learning. Neurobiology of learning and memory.

Sosa, Y., Clarke, A.M. & McCourt, M.E. (2011). Hemifield asymmetry in the potency of exogenous auditory and visual cues. Vision Research, 51(11): 1207-1215.

Clarke, A.M., & Elder, J.H. (2004) Principal Components Analysis of Good Continuation Cues, Perception, 33 (supplement), 46.

Teaching:

  • PSYC 206 – Research Methods II
  • GE 512┬á– Quantitative Data Analysis for the Social Sciences