Michael Eickenberg

A biologically-inspired hierarchical convolutional energy model predicts V4 responses to natural videos

The paper develops a hierarchical convolutional energy model to predict V4 neuron responses to natural videos and finds it captures complex spatiotemporal selectivity in V4.

Feature-space selection with banded ridge regression

This paper introduces banded ridge regression for feature-space selection in brain recordings, improving prediction accuracy and interpretability by adapting regularization per feature space.

The Cost of Untracked Diversity in Brain-Imaging Prediction

This study quantifies how population diversity affects brain-imaging prediction accuracy and pattern stability using two clinical cohorts.