Eric Maris

The paper evaluates a framework for statistical inference with small sample sizes (N=3) and shows its error rate depends on outcome typicality, suggesting limited utility for population inference.

The paper evaluates three sensorimotor delay compensation mechanisms in balance control, finding that a convolution predictor is effective while gain scaling is insufficient and the Smith predictor is implausible.

This paper improves the sensitivity of cluster-based statistics for fMRI data using novel cluster definitions and a new method to combine test statistics, without sacrificing spatial specificity.

This study shows that visual detection is enhanced when cortico-motor alpha synchronization is increased before stimulus onset, revealing an internal visuomotor loop.

This paper introduces a high-density CMOS scanning probe for neural recording, demonstrating its ability to capture neural activity across multiple brain regions with improved resolution compared to lower density devices.

This paper introduces nonparametric randomization and permutation tests with exact false alarm rate control, applicable to a broader range of study types in neuroscience.

The paper introduces two nonparametric Bayesian methods for estimating spike-spike and spike-membrane neuronal connectivity using Gaussian process regression and validates them on simulated and real data.