Robert E. Kass

A Population Coupling Model Identifies Reduced Propagation from V1 to Higher Visual Areas During Locomotion

The paper introduces a population-level GLM (pop-GLM) to detect cross-population coupling, showing reduced V1 to higher visual area connectivity during locomotion.

Relative timing and coupling of neural population bursts in large-scale recordings from multiple neuron populations

The paper develops a method to analyze the relative timing and coupling of neural population bursts across brain regions in mice, finding consistent and variable patterns of activity.

Exploring spatio-temporal neural dynamics of the human visual cortex

The paper examines spatio-temporal neural dynamics in the human visual cortex using neural network features, finding non-feedforward processes influence early visual cortex activity.

Networks of VTA neurons encode real-time information about uncertain numbers of actions executed to earn a reward

The paper investigates how VTA neurons encode information about the number of actions needed to earn a reward, revealing ensemble coding and functional connectivity patterns.

Inter-Subject Alignment of MEG Datasets in a Common Representational Space

This paper introduces M-CCA for aligning MEG datasets across subjects by analyzing sensor recordings directly, showing improved performance over traditional methods.