Philipp Schlegel

The paper identifies structured connectivity patterns in Drosophila mushroom bodies across multiple connectomes, showing reproducible pathways that prioritize food-related sensory information.

The paper identifies and characterizes an aorta sensory organ in Drosophila that connects internal hemolymph state to central systems regulating feeding behavior and memory.

This paper maps the complete Drosophila male gustatory system connectome, revealing GRN diversity and sensory-to-motor pathways for feeding and social behaviors.

The paper identifies and analyzes sexually dimorphic neurons in the Drosophila brain using connectome data to understand their connectivity and functional roles in behavior.

A FIB-SEM connectome of the male Drosophila right optic lobe sorts ∼53,000 neurons into 727 types, with neurotransmitter predictions and 577 matched split-GAL4 lines.

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 completes the list of cell types in the Drosophila optic lobe and identifies connectivity rules, revealing new families and clusters related to visual functions.

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

The paper provides a connectomic description of ascending and descending neurons in the Drosophila nervous system, revealing sexual dimorphism and motor-related circuits.

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 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.

Annotating the 127,978-neuron FlyWire fly connectome yields 4,552 cell types, 3,094 cross-validated against the hemibrain; cell-type edges above 10 synapses or 1.1% of input recur over 90% across hemispheres.

Roughly 23 thousand traced neurons and 10 million TBars of the male Drosophila nerve cord, reconstructed from electron microscopy, typed, and queryable in neuPrint down to motor neurons.

The paper systematically annotates a complete adult male Drosophila nerve cord connectome, identifying neuron types, connectivity patterns, and sensory modalities to reveal organizational principles.

The paper maps a neuronal circuit in Drosophila that uses serotonergic feedback to stabilize swallowing rhythms through mechanosensory input and motor-sensory-modulatory loops.

The paper shows that Drosophila uses separate neural pathways to process spatial and qualitative information from the pheromone cVA, enabling context-dependent mating behaviors.

The paper maps chemosensory co-receptor expression in Drosophila olfactory neurons, revealing widespread co-expression patterns among Orco, Ir25a, Ir8a, and Ir76b.

The paper uses electron microscopy to map sensory and interneuronal pathways to neuroendocrine cells in Drosophila, identifying a CO2-responsive network involving Corazonin and Diuretic hormone 44 neurons.

The paper describes the Drosophila olfactory system using a connectome, identifies information flow patterns, and quantifies stereotypy across individuals.

Geosmin avoidance in Drosophila runs from a labelled line at the periphery into a distributed central representation spanning 80 third-order cell types, then into specific descending neurons.

The paper identifies a somatosensory network in Drosophila larvae that uses neuropeptide action to gate specific escape behaviors based on sensory input type.

The paper presents a detailed connectome of the adult Drosophila central brain, including new methods for data analysis and biological insights into neural circuit organization.

The paper maps the synaptic connectivity of the Drosophila mushroom body and identifies new circuit components and structures in sensory input processing and output modulation.

The paper reconstructs the complete connectome of olfactory projection neurons in the Drosophila brain and identifies new connectivity patterns in olfactory circuits.

The paper identifies anatomical subtypes of dopaminergic neurons in Drosophila and their specific input connectivity, revealing functional roles in reinforcement and memory.

The paper identifies new thermosensory and hygrosensory glomeruli and neurons in the Drosophila brain using connectomics, revealing their connections to higher brain centers and circadian clock circuits.

A dense electron-microscopy reconstruction of half the fly central brain, with nearly every cell typed and queryable online, turns months of tracing partners into a database lookup.

The paper presents an automatic method to identify synaptic partners in a whole-brain Drosophila EM dataset using convolutional neural networks, achieving high accuracy in predicting synaptic connections.

The natverse provides an open-source R package suite for analyzing neuroanatomical data, enabling analysis, visualization, and comparison across neuronal datasets.