Chin‐Hsuan Lin

Predictability and controllability shape aversive learning and stress responses through independent computational mechanisms

This study investigates how predictability and controllability affect aversive learning and stress responses through distinct computational mechanisms.

Prior-Likelihood Metamers to Distinguish Strategies Underlying Human Bayesian Behaviour in Perception

The paper investigates whether human Bayesian behavior stems from explicit Bayesian strategies or likelihood-sensitive strategies by using metamers to test prior-likelihood integration.

Are we really Bayesian? Probabilistic inference shows sub-optimal knowledge transfer.

The paper tests whether humans perform Bayesian computations by measuring how well they transfer learned priors to new likelihoods, finding sub-optimal Bayesian behavior.

Neural activity in human eyeblink conditioning: an optically pumped magnetometer-based MEG study

This study uses OP-MEG to detect cerebellar activity during human eyeblink conditioning, finding evoked responses that diminish with learning and occur before conditioned blinks.

Using optically-pumped magnetometers to measure magnetoencephalographic signals in the human cerebellum

This paper demonstrates that optically-pumped magnetometers improve cerebellar MEG signal detection by reducing sensor distance and increasing SNR, revealing evoked and induced responses to sensory stimuli.

The role of sensorimotor variability and computation in falls in the elderly

This study quantifies sensorimotor variability in elderly individuals and links it to increased fall risk through biomechanical tasks and sensory psychophysics.