Event Perception

Event perception research investigates how humans and machines segment continuous experience into meaningful, discrete events, focusing on the cognitive mechanisms and computational models underlying this process. Current research emphasizes hierarchical event representations, predictive processing, and the integration of multiple sensory modalities (e.g., audio-visual), often employing neural network architectures and Bayesian methods to model event segmentation and memory. This work is significant for advancing our understanding of human cognition and for developing more robust and human-like AI systems capable of handling complex, temporally extended information.