Tihana Jovanic

The paper introduces a method to convert detailed morphological neuron models into point-neuron models by analyzing transfer function parameters under in vivo conditions.

The paper shows that feeding state modulates inhibitory neurons in Drosophila, biasing sensorimotor decisions by altering aversive response competition.

Larvaworld is a virtual laboratory platform for Drosophila larvae that integrates agent-based modeling with neural control and analysis of simulated and experimental data.

LarvaTagger combines a pre-trained deep neural network with a GUI for manual tagging and training new automatic taggers using updated ground truth.

The paper introduces statistical methods to detect subtle behavioural changes in Drosophila larvae from large-scale behavioural assays.

The paper identifies neural circuits in Drosophila larvae that mediate context-dependent competition between defensive actions like startle and escape behaviors.

The paper investigates the role of the APL neuron in larval Drosophila, finding that optogenetic activation can induce a rewarding effect through dopaminergic pathways.

The paper identifies neurons and brain regions in Drosophila larvae that influence sensorimotor decisions and sequence transitions in response to mechanosensory stimuli.

The paper identifies a subset of GABAergic interneurons in Drosophila larvae that regulate locomotion speed through specific molecular markers.

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.