Prof. Dr. Lachnit and Prof. Dr. Einhaeuser-Treyer

Effects of informational value on perception and attention in associative learningB4

During associative learning humans attend to sensory cues because of their informational value. From two diametrically opposed perspectives attention is allocated because (a) a cue is a reliable predictor of a subsequent outcome or (b) a cue induces uncertainty about its consequence. Project B4 uses a range of predictive learning tasks to examine the effects of informational value on overt attention, learning rate, pupillary orienting, the N2pc component of event-related brain potentials, and the perception of ambiguous stimuli. Our results will shed further light on attentional processes in associative learning.

new project-related publications

  • Einhäuser, W., Methfessel, P., & Bendixen, A. (2017). Newly acquired audio-visual associations bias perception in binocular rivalry. Vision Research. 133, 121-129. DOI find paper
  • Einhäuser, W., Thomassen, S., & Bendixen, A. (2017). Using binocular rivalry to tag foreground sounds: Towards an objective visual measure for auditory multistability. Journal of Vision, 17(1):34, 1–19. DOI find paper
  • Frässle, S., Sommer, J., Jansen, A., Naber, M., & Einhäuser, W. (2014). Binocular rivalry - frontal activity relates to introspection and action, but not to perception. Journal of Neuroscience, 34, 1738-1747. find paper
  • Koenig , S., Kadel , H., Uengoer, M., Schubö , A. & Lachnit , H. (2017). Reward draws the eye uncertainty holds the eye: Associative learning modulates distracter interference in visual search. Frontiers in Behavioral Neuroscience, 11, 128. DOI find paper
  • Koenig, Nauroth, Lucke, Lachnit, Gollwitzer, & Uengoer (2017). Fear acquisition and liking of out-group and in-group members: Learning bias or attention? Biological Psychology. find paper
  • Koenig, S., Uengoer, M., & Lachnit, H. (2017). Attentional bias for uncertain cues of shock in human fear conditioning: Evidence for attentional learning theory. Frontiers in Human Neuroscience,11, 266. DOI find paper
  • Koenig, S., Uengoer, M., & Lachnit, H. (2017). Pupil dilation indicates the coding of past prediction errors: Evidence for attentional learning theory. Psychophysiology , in press. find paper
  • Koenig, S., Uengoer, M., & Lachnit, H. (2018). Koenig, S., Uengoer, M., & Lachnit, H. (2018). Pupil dilation indicates the coding of past prediction errors: Evidence for attentional learning theory. Psychophysiology, 55(4), e13020. find paper
  • Marx, S., & Einhäuser, W. (2015). Reward modulates perception in binocular rivalry. Journal of Vision, 15(1):11.DOI find paper
  • Marx, S., Gruenhage, G., Walper, D., Rutishauser, U., & Einhäuser, W. (2015). Competition with and without priority control: linking rivalry to attention through winner?take?all networks with memory. Annals of the New York Academy of Sciences, 1339(1), 138-153. DOI DOI find paper
  • Uengoer, M., Dwyer, D. M., Koenig , S., & Pearce, J. M. (2017). A test for a difference in the associability of blocked and uninformative cues in human predictive learning. Quarterly Journal of Experimental Psychology, in press. find paper
  • Uengoer, M., Lucke, S., & Lachnit, H. (2018). Attention toward contexts modulates context-specificity of behavior in human predictive learning: Evidence from the n-back task. Learning & behavior, 1-7. find paper
  • Uengoer, M., Pearce, J. M., Lachnit, H., & Koenig, S. (2017). Context modulation of learned attention deployment. Learning & Behavior, in press. DOI find paper
  • Veto, P., Schütz, I., & Einhäuser, W. (2018). Continuous flash suppression: Manual action affects eye movements but not the reported percept. Journal of vision, 18(3), 8-8. find paper

former project-related publications

  • Einhäuser, W. Koch, C. & Carter, O. (2010). Pupil dilation betrays the timing of decisions. Frontiers in Human Neuroscience, 4:18.
  • Einhäuser, W., Stout, C., Koch, C. & Carter, O (2008). Pupil dilation reflects perceptual selection and predicts subsequent stability in perceptual rivalry. Proceedings of the National Academy of Sciences USA, 105, 1704-1709.
  • Koenig, S., & Lachnit, H. (2011). Curved saccade trajectories reveal conflicting predictions in associative learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 1164-1177.
  • Lachnit, H., Schultheis, H., Koenig, S., Uengoer, M., & Melchers, K. G. (2008). Comparing elemental and configural associative theories in human causal learning: A case for attention. Journal of Experimental Psychology: Animal Behavior Processes, 34, 303-313.
  • Lachnit, H., Thorwart, A., Schultheis, H., Lotz, A., Koenig, S., & Uengoer, M. (2013). Indicators of early and late processing reveal the importance of within-trial-time for theories of associative learning. PLoS One, 8, e66291. doi: 10.1371/journal.pone.0066291.
  • Lucke, S., Lachnit, H., Koenig, S., & Uengoer, M. (2013). The informational value of contexts affects contextdependent learning. Learning & Behavior. Advance online publication. doi: 10.3758/s13420-013-0104-z.
  • Naber, M., Frässle, S., Einhäuser, W. (2011). Perceptual rivalry: reflexes reveal the gradual nature of visual awareness. PLoS One, 6(6):e20910.
  • Naber, M., Frässle, S., Rutishauser, U., Einhäuser, W. (2013). Pupil size signals novelty and predicts later retrieval success for declarative memories of natural scenes. Journal of Vision, 13(2):11.
  • Preuschoff, K., 't Hart, B.M., Einhäuser, W. (2011). Pupil dilation signals surprise: evidence for noradrenaline’s role in decision making. Frontiers in Decision Neuroscience, 5:115.
  • Reinhard, G., Lachnit, H. & Koenig, S. (2006). Tracking stimulus processing in Pavlovian pupillary conditioning. Psychophysiology, 43, 73-83.
  • Reinhard, G., Lachnit, H. & Koenig, S. (2007). Effects of stimulus probability on pupillary dilation and reaction time in categorization. Psychophysiology, 44, 469-475.
  • Uengoer, M., Lachnit, H., Lotz, A., Koenig, S., & Pearce, J. M. (2013). Contextual control of attentional allocation in human discrimination learning. Journal of Experimental Psychology: Animal Behavior Processes, 39, 56–66.