For perceptual inference, human observers do not estimate sensory uncertainty instantaneously from the current sensory signals alone, but by combining past and current sensory inputs consistent with a Bayesian learner.
Large-scale electrocorticography and big data analysis of brain-wide neuronal interactions reveal the architecture of network information flow for context processing in primate brain.
Hyperalignment provides a conceptual framework for cortical architecture that captures how shared information is encoded in idiosyncratic cortical topographies that preserve vector geometry for population response and connectivity patterns.
Behavioral pharmacology and molecular biology reveal a translational control mechanism underlying auditory imprinting and structural plasticity that can be pharmacologically manipulated to reopen the critical period.
Predicting age jointly from multimodal brain images and electrophysiology with machine learning enhances detecting health issues and facets of cognitive decline.
Functional coupling between visual areas reflects supra-areal eccentricity organization distinct from overlapping receptive field connectivity during both rest conditions and naturalistic movie viewing.
Facing discrepancies in the sensory environment, multisensory information is combined in the medial superior parietal cortex to guide immediate judgements and to also adjust subsequent unisensory perception.
