© Floris de Lange
Prof. Dr. Floris de Lange
Zugehörigkeiten
- Center for AI and Neuroscience (CAIAN)
Forschungsschwerpunkte
- prediction
- perception
- decision-making
We perceive the world by rapidly transforming streams of meaningless sensory signals into meaningful tokens, such as hearing the word ‘brain’ or seeing an apple. How can our brain do this so quickly, efficiently, and robustly? The key that may unlock this ability is prediction: The brain is constantly forming predictions of its input, which are compared with incoming information to update predictions, in a virtuous cycle.
We examine how the brain acquires and uses internal predictive models in perception and cognition. We look at human behaviour, neural activity (fMRI, EEG/MEG), and computational/artificial neural network models.
Ausgewählte Publikationen
1) Kok, P., Jehee, J.F.M., & de Lange, F.P. (2012). Less is more: Expectation sharpens representations in the primary visual cortex. Neuron, 75(2), 265-270.
2) Summerfield, C., & de Lange, F.P. (2014). Expectation in perceptual decision making: Neural and computational mechanisms. Nature Reviews Neuroscience, 15(11), 745-756.
3) Ekman, M., Kok, P., & de Lange, F.P. (2017). Time-compressed preplay of anticipated events in human primary visual cortex. Nature Communications, 8, 15276.
4) Heilbron, M., Armeni, K., Schoffelen, J.M., Hagoort, P., & de Lange, F.P. (2022). A hierarchy of linguistic predictions during natural language comprehension. Proceedings of the National Academy of Sciences, 119(32), e2201968119.
© Floris de Lange
Prof. Dr. Floris de Lange