Michael Winding

The paper develops a statistic called XORness to measure functional complexity in nanoscale connectomes and shows it is high in both real and generated connectomes with similar network statistics.

The paper uses generative network models to analyze bilateral symmetry in a Drosophila larval brain connectome, identifying significant differences in connection probabilities and proposing adjusted definitions of symmetry.

The paper maps the synaptic-resolution connectome of a Drosophila larva brain, identifying neuron types, circuit motifs, and structural features.

This study demonstrates operant conditioning in Drosophila larvae by optogenetically activating serotonergic neurons and shows the ventral nerve cord's role in memory formation.

This paper introduces a modified graph matching algorithm for better pairing of bilaterally homologous neurons in connectomes by leveraging contralateral connections.

The paper maps convergence neurons in Drosophila that integrate innate and learned olfactory drives to mediate action selection.

The paper maps the synaptic connectome of the Drosophila larva mushroom body and identifies feedback pathways that enable modulatory neurons to compute teaching signals for reinforcement learning.

This study identifies neuronal circuits in Drosophila larvae that mediate navigational decisions during anemotaxis, showing distinct modules control turning behavior in favorable and unfavorable conditions.