Jürgen Kornmeier

Jürgen Kornmeier is head of the Institute for Frontier Areas of Psychology and Mental Health (IGPP)  in Freiburg, Germany, with research interests in perception, altered states and consciousness.

Career

Jürgen Kornmeier studied biology and mathematics at Albert-Ludwigs-University Freiburg, then gained a doctorate degree in 2002. His doctoral work investigated brain mechanisms on changing perceptions of ambiguous pictures using electroencephalography (EEG). He held several postdoctoral assignments from 2002 until 2008 and acted as deputy leader at University Eye Clinic Freiburg.

Kornmeier joined the Institute for Frontier Areas of Psychology and Mental Health (IGPP) in Freiburg, Germany as a research fellow, obtaining an advanced university teaching qualification in 2013. He served as an instructor within the biology faculty, then took over the IGPP directorship in 2022.

His research interests cover visual perception, perceptual instabilities and their neural correlates, altered states of consciousness and consciousness studies – all facilitated by means of EEG recordings, artificial intelligence applications together with quantum theoretical considerations.

Ambiguous Stimuli

ERP Ambiguity Effects

Earlier research by the IGPP group had identified major differences in brain responses at 200 and 400 milliseconds elicited by ambiguous versus unambiguous stimuli. These came to be known as ‘ERP Uncertainty Effects’. The Kornmeier and Joos study tested whether this effect would extend beyond simple geometrical patterns to encompass emotional ambiguity. The experiment compared brain responses evoked by ambiguous cube stimuli (low-level ambiguity) and those elicited by ambiguous emotional faces (high-level ambiguity). Emotional ambiguity was manipulated regarding mouth curvature variations that created different degrees of emotional ambiguity. Results replicated the effects for geometric stimuli. Very similar patterns were obtained with emotional faces, indicating that these effects generalize across different types of high-level ambiguities.1

Predictive Processing

An experiment was designed by Kornmeier and colleagues to test whether predictions generated from perceptual patterns automatically influence the processing of a current stimulus. Ambiguous Necker lattices and unambiguous variants were used. Brain responses and reaction times were measured while manipulating what had been seen before in the immediate past by the participants. In Experiment 1, brain responses to physically identical stimuli differed significantly depending on whether the immediately preceding stimuli had been ambiguous or unambiguous. Effect sizes were between 0.24 and 0.62, while p-values were significant, ranging between 0.0007 and 0.02. Reaction times also differed as a function of previous context, though this information was irrelevant to the task.

Experiment 2 found that mere symbolic telling of participants what would appear next was not enough. Effects only emerged after several presentations of the actual stimuli. Differences in brain responses emerged already at the third stimulus (p = 0.016). This supports the notion that integration of previous perceptual information into current processing happens automatically and inevitably influences the present.2

Pareidolia

Mayer and Kornmeier examined wildlife camera pictures sent by a hunter that appeared to reveal abnormal objects: a small human-like figure with skull-like features and an unclear white shape in the air. Close study suggested that the ‘humanoid’ was probably a jay bird, whose characteristic throat marks had been taken for eyeholes, while the white shape was explained a a bug flying very near to the camera lens.

This is a textbook case of pareidolia – the tendency to see meaningful patterns in random stimuli and the biased interpretation caused by prior expectations (the individual had recently seen media coverage of the Atacama mummy, setting up an expectation that biased perception). The study goes some way toward unpacking how sensory paucity, memory, and cultural knowledge intermix in visual processing, particularly of low quality or ambiguous images.3

Perceptual Destabilization

Kornmeier and Mareike Wilson studied whether perceptual reversals of the ambiguous Necker cube stimuli that were called 'spontaneous' could actually be taken at face value as truly spontaneous. Brain activity signature components were looked for. This was done by comparing those evoked during perceptual stability against those shortly preceding reversal events.

For ambiguous stimuli, the earliest differences between reversal and stability trials occurred approximately one second prior to reversals at bilateral parietal brain regions. Traces stayed alike until about 1,100 milliseconds pre-reversal. They became maximally different at 890 milliseconds (p = 7.59 × 10⁻⁶, Cohen's d = 1.35) and then stayed divergent until just a little time before the end of the stimulus. No such patterns appeared in control stimuli where there was no ambiguity.

Artificial neural network analysis reached 59% accuracy in eight out of fifteen participants - this was compared to a control accuracy level of 52%. Localization of brain sources identified the parahippocampal place area as most significantly different (p = 3.96 × 10⁻⁵). Perceptual reversals are therefore considerably less spontaneous than they are subjectively experienced to be. Destabilization processes unfold over extended timescales.4

Retroactive Priming

Wilson et al. carried out an exploratory study on behavioral and brain correlates of forward and backward affective priming paradigms. Thirty-one subjects completed both with concomitant recording of brain activity.

Forward priming - where an emotional prime word preceded a task-relevant emotional target image - showed participants responded significantly faster to congruent trials (same valence of prime and target) compared to incongruent (different valences of prime and target) trials (p = 0.0004). Brain activity analysis revealed a significant congruency effect at right parietal regions around 600-900 milliseconds after target onset.

However, backward priming - target before prime, inspired by Bem's 2011 controversial precognition study - showed no statistically significant reaction time differences (p = 0.12). Backward priming congruency effects in brain activity could be identified, although, they were notably weaker, shorter in duration, and less significant than forward priming effects. Neural network classification of single-trial brain data performed at chance level for both conditions. The study provides robust replication of forward priming but fails to support precognitive behavioral backward priming effects.5

Michael Duggan

Literature

Joos, E., Giersch, A., Hecker, L., Schipp, J., Tebartz van Elst, L., Kornmeier, J. (2019). How ambiguity helps to understand metaperception - Similar EEG correlates of geometry and emotion processing. Vision Sciences Society Annual Meeting Abstract.

Joos, E., Giersch, A., Bhatia, K., Heinrich, S.P., Tebartz van Elst, L., Kornmeier, J. (2020). Using the perceptual past to predict the perceptual future influences the perceived present – A novel ERP paradigm. PLoS ONE 15(9): e0237663.

Mayer, G., & Kornmeier, J. (2014). Mysterious objects in pictures taken by a wildlife camera: The pitfalls of perception. Perception 43/11, 1270-74.

Wilson, M., Hecker, L., Joos, E., Aertsen, A., Tebartz van Elst, L., Kornmeier, J. (2023). Spontaneous Necker-cube reversals may not be that spontaneous. Frontiers in Human Neuroscience 17:1179081.

Wilson, M., Wittmann, M., & Kornmeier, J. (2025). Behavioural and EEG correlates of forward and backward priming—An exploratory study. PLoS ONE 20(5), e0322930.

Endnotes

  • 1. Joos et al. (2019).
  • 2. Joos et al. (2020).
  • 3. Mayer & Kornmeier (2014).
  • 4. Wilson et al. (2023).
  • 5. Wilson et al. (2025).