Nils Eckstein

This paper introduces QuAC, a method for explaining deep neural network decisions on images by generating counterfactuals and attributing class differences, and evaluates it on synthetic and biological datasets.

The paper presents the first neuronal wiring diagram of a whole adult Drosophila brain, revealing synaptic connections and circuit mechanisms underlying sensorimotor behaviors.

The paper creates a computational model of the Drosophila brain connectome to study sensorimotor processing and validates predictions through experiments.

The paper analyzes the network properties of the Drosophila whole-brain connectome, identifying rich club organization and signal integration/broadcasting neurons.

The paper uses artificial neural networks to classify neurotransmitters from electron microscopy images of Drosophila melanogaster synapses, achieving high accuracy and revealing ultrastructural differences.

The paper maps the auditory pathway in Drosophila, identifies new cell types, and reveals a network of neurons with continuous song mode preferences and non-hierarchical connectivity.