Pablo Lanillos

Muscle activation prediction in essential tremor through neuromusculoskeletal digital twinning and deep neural networks

This paper uses a digital twin of essential tremor to train deep neural networks for predicting muscle activation, achieving 81-83% accuracy in synthetic data.

Precision not prediction: Body-ownership illusion as a consequence of online precision adaptation under Bayesian inference

The paper presents a computational model showing that body-ownership illusions arise from precision adaptation in Bayesian inference during sensory stimulation.