Abstract
What do randomness, transitional probabilities, statistical learning, predictive coding, and creating figures have in common? To find out, join today's Food & Paper where the preprint "Direct Brain Recordings Reveal Continuous Encoding of Structure in Random Stimuli" will be discussed!
The main finding of this study demonstrates that the brain automatically encodes transitional probabilities between events when exposed to random acoustic stimuli by using intracranial electroencephalography and information-theoretical principles. Presenting these results, cues about making qualitative figures will be given.
Bio
Julian's research interest lies in the synthesis of neurocomputational principles. With a model-based approach, I hope to contribute to improving aspects of auditory perception and its supposed underlying prediction mechanisms by performing simulations mimicking these mechanisms.
