Carey E. Priebe

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

This paper introduces a low-resource pipeline for estimating connectomes from MRI data, demonstrating its reliability across diverse datasets without manual intervention.

This paper introduces a new statistic called discriminability to improve replicability by distinguishing accidental from systematic deviations in data, showing its effectiveness in both simulated and real datasets.

This paper introduces a method to classify neurons based on their connectivity using a stochastic block model and spectral embedding, achieving accurate clustering even with noise and edge swaps.

This paper explains decision forests and deep networks as partition and vote schemes, linking them to statistical pattern recognition and brain functioning.

This study examines the heritability of mouse brain connectomes using high-resolution MRI and finds high heritability in brain volumes and diffusion metrics.

The paper introduces a formal statistical framework for connectal coding to link cognitive phenotypes to individual histories across different experimental modalities and phylogeny.

The paper develops a pipeline to estimate connectomes from neuroimaging data, showing high consistency within individuals but significant variability across studies and sites.

The paper reconstructs the complete synaptic connectome of the Drosophila larval mushroom body, revealing novel circuit structures and input integration patterns in Kenyon cells.