Paul Cisek

This study investigates how people balance immediate actions with long-term planning in a virtual task, finding that participants plan ahead and adjust decisions based on spatial and embodied constraints.

The paper investigates how biomechanical costs influence decisions during ongoing actions, finding that biomechanical factors are considered when comparing similar types of continuous actions.

This study investigates how humans make decisions based on multiple attributes, finding that decisions are influenced by competing features rather than a unified value estimate.

This study tracks dynamic decision-making in humans using low-dimensional neural oscillation states from MEG data, showing distinct roles for alpha and beta bands in choice commitment and motor execution.

The paper shows that hasty decisions involve broad motor activity amplification and local suppression, improving signal-to-noise ratio in the chosen motor representation.

The paper shows that neural dynamics in monkey premotor cortex are shared between action execution and observation, with spatial features more accurately encoded than task types.

This paper introduces a decision-making strategy called Performance-Gated Deliberation (PGD) that adapts to changing contexts by incorporating an adaptive opportunity cost of deliberation, outperforming traditional reinforcement learning models in explaining primate behavior and urgency.

The paper uses EEG and a hierarchical Bayesian model to identify neural signals related to sensory evidence, decision variables, and urgency during dynamic decision-making, showing urgency reflects the product of sensory evidence and an evidence-independent signal.

This study investigates decision-making during movement, showing that deliberation continues after movement onset and is influenced by reward and motor state.

The paper investigates neural dynamics during decision-making in monkey brain regions, finding distinct but unified patterns across cortical and basal ganglia areas.

This study links neural activity in the human brain to decision-making parameters during a perceptual task, showing how drift rates and urgency signals are reflected in fMRI data.

This study disrupts M1 activity using cTBS and finds it delays motor processes but not deliberation in action choices.