Dean A. Pospisil

The paper develops new statistical tools to analyze high-dimensional neural responses in mouse visual cortex, revealing a broken power law structure and highlighting the role of inhibitory neurons in shaping population representations.

The paper introduces a method to learn a causal model of the fly brain using a connectome and optogenetic perturbation data, revealing that global brain dynamics arise from small, localized circuits.

The paper introduces a new unbiased estimator for model fit in neural data and demonstrates its utility with confidence intervals and SNR analysis.

The paper introduces a novel estimator to unbiasedly calculate r2 between noisy neural responses, addressing bias caused by trial-to-trial variability and demonstrating its application to studying neural invariance.