Arno Onken

The paper introduces CiRF-ViT, a vision transformer with per-neuron locality priors, achieving high performance in small-scale neural prediction tasks.

ViV1T, a transformer model trained on natural movies, predicts neuronal responses in mouse V1 with high accuracy, revealing novel dynamic stimulus processing properties.

This study investigates state-dependent dynamics of pontine ensembles and their interactions with the cortex across sleep states in mice, revealing distinct functional roles of sleep.

The paper introduces an algorithm to determine if neuronal representations are categorical or mixed and applies it to primate orbitofrontal cortex data during economic decisions, finding categorical encoding of decision variables.