Ann‐Shyn Chiang

This study uses AI to optimize long-term memory in fruit flies, showing operant conditioning can be enhanced to outperform classical conditioning with AI-guided training.

This study analyzes asymmetric branching patterns in Drosophila neurons using morphological data to reveal how asymmetry influences computational capabilities and suggests shared branching mechanisms across species.

This paper introduces ColExM, a method for expanding collagen-abundant tissues to enable super-resolution imaging of nanoscale structures.

The paper analyzes the connectivity and function of the Drosophila mushroom body network, revealing a hybrid structure that enhances odor detection and discrimination.

BigNeuron benchmarks automatic neuron reconstruction algorithms using gold standard annotations and image quality metrics, showing that consensus methods outperform individual algorithms.

The paper shows that CREB repressor in Drosophila mushroom body early β neurons inhibits LTM formation, but spaced training activates CREBB to relieve this inhibition and enhance LTM.

The paper introduces a fluorescent probe, CyDAP, for detecting cytosolic dopamine in live Drosophila brains and links dopamine imbalance to Parkinson's disease vulnerability.

The paper demonstrates asymmetric ephaptic inhibition between olfactory receptor neurons in Drosophila, showing that the larger neuron in a pair dominates the interaction.

The paper introduces the Fruit Fly Brain Observatory, an open-source platform for integrating and analyzing fruit fly brain data and models.

The paper develops a single-cell level computational model of the Drosophila brain using a platform called Flysim, which reconstructs a network of 20,089 neurons and simulates its resting state.

The paper uses super-resolution imaging to show that learning-induced proteins are localized to specific axonal sectors in Drosophila mushroom bodies, linking neural activity patterns to long-term memory formation.

NeuroNLP provides a web-based portal for exploring fruit fly brain circuit data using natural language queries and 3D visualization.

The paper introduces the Fruit Fly Brain Observatory, an open platform for integrating and visualizing fruit fly brain data and models, with tools for querying and simulating neural circuits.