Aaron Schurger

This study decodes motor cortex activity in real-time to predict movement onset before action, showing a task-independent commitment to act that aligns with conscious intent.

This study investigates the neural mechanisms of abstract free choice using a delayed-response paradigm and a hierarchical attractor network model, finding that free choices involve slower responses and reduced goal-switching costs.

The paper challenges the unfolding argument by showing that rapid plasticity in neural networks breaks functional equivalence between recurrent and feedforward networks, restoring empirical testability for theories involving plasticity.

This study investigates the neural basis of the Readiness Potential (RP) and finds it does not reflect awareness of motor preparation, suggesting metacognitive access to stochastic accumulation instead.

The paper identifies a mechanism for slow-ramping signals in neural networks and validates it using human single-neuron recordings.

This study investigates antecedent pupil dilations (APDs) before voluntary actions and finds they correlate with the timing of conscious intention rather than movement or external stimuli.

This study investigates how time pressure affects the readiness potential (RP) during self-initiated movements, finding non-linear changes in RP amplitude and non-stereotypical RP shapes.

The paper investigates the neural processes preceding self-initiated actions by comparing EEG variability in self-initiated versus externally-triggered skip responses, finding reduced neural noise prior to self-initiated actions.