Michael D. Nunez

Non-decision time-informed collapsing threshold diffusion model: A joint modeling framework with identifiable time-dependent parameters

This paper introduces a joint modeling framework that improves parameter estimation reliability in time-dependent threshold diffusion models by incorporating non-decision time measurements.

How spatial attention affects the decision process: looking through the lens of Bayesian hierarchical diffusion model & EEG analysis

This study uses a Bayesian hierarchical diffusion model and EEG analysis to show that spatial attention affects non-decision time in perceptual decisions, with contralateral N2 oscillations and non-decision times reflecting these effects.

Neuro-cognitive models of single-trial EEG measures describe latent effects of spatial attention during perceptual decision making

This study uses EEG and drift-diffusion models to show spatial attention affects visual encoding time and non-decision processes in perceptual decision-making.

Beyond rates: Time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone

This paper shows that time-varying dynamics of high frequency oscillations (HFOs) are better predictors of the seizure onset zone than HFO rate alone.

Embodied Cognition and Decision-Making in the Primate Superior Colliculus

This study shows that inactivating the superior colliculus in monkeys alters perceptual decision-making, supporting the embodied cognition model by linking decision evidence accumulation to a brainstem structure.

Timing of readiness potentials reflect a decision-making process in the human brain

This study links the timing of readiness potentials to evidence accumulation in decision-making, showing that RP duration predicts decision time and reflects response selection in the motor system.

The latency of a visual evoked potential tracks the onset of decision making

The paper shows that N200 latency in EEG tracks visual encoding time and response time in perceptual decision making, with a linear relationship and slope of 1.

Multi-Scale Neural Sources of EEG: Genuine, Equivalent, and Representative. A Tutorial Review

The paper develops a biophysical framework to interpret EEG data across multiple spatial scales, categorizing sources as genuine, equivalent, or representative.

Individual differences in cortical processing speed predict cognitive abilities: a model-based cognitive neuroscience account

The paper uses hierarchical Bayesian modeling to show that neural processing speed partially mediates the link between cognitive abilities and evidence accumulation speed, with limited predictive power from the model.