eLife

Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding in naturalistic listening designs

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.
IEEE

Predictive Maintenance with Large Language Models and Transformer-based Survival Analysis

Abstract: Predictive maintenance involves proactive monitoring and prediction of equipment failures to optimize maintenance schedules to minimize downtime, reduce losses, and ensure optimal equipment ...
Frontiers

NeuralVisionNet: a probabilistic neural process model for continuous visual anticipation

The ability to anticipate future events continuously is a hallmark of biological vision, yet standard deep learning models often struggle with long-term coherence due to the rigid discretization of ...
IEEE

Predictive Coding and Surprisal Effects on N400 Amplitude: An ERP Study Using BERT-Based Language Models in Japanese Contexts

Abstract: This study aims to reevaluate the role of the N 400 component in language processing from the perspective of predictive coding theory and investigate the impact of surprisal on N400 ...