Benjamin L. de Bivort

The paper investigates how the Drosophila larval mushroom body integrates left and right olfactory information and balances lateralized sensing with interhemispheric integration.

The paper presents the first densely reconstructed adult fruit fly connectome integrating the brain and ventral nerve cord, revealing distributed control circuits involving local and long-range neural connections.

The paper investigates phenotypic drift in Drosophila melanogaster, showing it is influenced by genetics and neuromodulation and may be adaptive in fluctuating environments.

This study improves Drosophila embryo cryopreservation by replacing limonene with fenchone, increasing survival rates and cryoprotectant uptake.

This paper introduces a Python-based model to study how family-based selection affects phenotypic variability in D. melanogaster, showing that it can increase variability more effectively than individual-based selection.

This study shows that the timing of fruit fly death by the fungus Entomophthora muscae is controlled by an endogenous fungal circadian clock, independent of host genetics.

The paper identifies a neural correlate of individual odor preference in Drosophila by linking microscale variations in the ORN-PN synapse to idiosyncratic behavior.

This study examines spatiotemporal dynamics of locomotor decisions in Drosophila and humans, showing that future choices can be predicted through sustained locomotor signatures and highlighting the role of sensory and dopaminergic signaling.

This paper presents a largely-complete genome of Entomophthora muscae, revealing insights into its large genome size, transposon activity, and unique biological features.

The paper identifies the neural and hormonal mechanisms underlying parasite-induced summiting behavior in Drosophila using a combination of behavioral assays, machine learning, and metabolomic analysis.

The paper quantifies behavioral individuality in fruit flies using 80 million decisions from 183,000 flies, finding a left-bias in locomotor decisions and context-dependent effects of serotonin, sex, and temperature.

This study investigates behavioral variation within a genotype in Drosophila, finding sparse correlations between behaviors and showing that gene expression can predict positions on some behavior axes.

This study investigates Drosophila dopamine neurons and finds they do not consistently drive approach or avoidance behaviors, instead showing context-dependent valence changes.

The paper identifies 30 genetic variants associated with offspring number and weight in Drosophila melanogaster under laboratory conditions, supporting a polygenic model with small-effect variants.

The paper shows that individual learning differences in isogenic fruit flies generalize across different stimulus modalities.

The paper examines how social environment and genotype affect individual and population-level behavioral asymmetries in Drosophila melanogaster, finding that individual asymmetries are modulated by social context while population asymmetries are not.

MARGO enables real-time tracking of many animals and closed-loop control of stimuli for large-scale behavioral experiments.

The paper shows that individual locomotor behavior in flies changes with ambient light, mediated by central complex output neurons with idiosyncratic responses.

The paper examines how environmental enrichment affects behavioral variability in Drosophila, finding that its impact depends on genotype, behavior, and enrichment type.

The paper shows that ring attractor dynamics in the fly's ellipsoid body emerge from a spiking model of the protocerebral bridge circuit.

The paper identifies a lineage-related reciprocal inhibition circuit in Drosophila that mediates sensory-motor action selection through competitive inhibition.