Chung‐Chuan Lo

This paper introduces vSPIM, a high-speed intravital imaging technique, and uses it to discover asymmetric serotonin-dependent post-shock activity in Drosophila brains.

The paper identifies a layered control architecture in Drosophila lateral accessory lobes that resolves navigation conflicts by balancing goal pursuit and stimulus-driven overrides.

This paper demonstrates a 4-neuron circuit that can rapidly switch between 24 logical functions using fixed synaptic weights, applicable to various neuronal architectures and activation functions.

The paper shows mutual inhibition between inhibitory neurons enhances functional diversity in neural circuits by increasing cusp bifurcations and enabling multifunctional, controllable behavior.

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.

The paper introduces LYNSU, an automated method for neuropil segmentation in Drosophila brains using fluorescence images, achieving high accuracy without requiring image warping or alignment.

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

The paper compares two models of global inhibition in fruit fly head-direction circuits, finding that a hybrid model performs best across multiple tests.

This study introduces a selective inhibition model of attractor neural networks that improves speed-accuracy trade-off in decision-making compared to unselective models.

The paper investigates how inhibitory neurons coordinate stabilizing and updating circuits in the fruit fly's spatial orientation working memory using neural manipulation and modeling.

The paper develops a machine learning model to classify neuronal polarity in Drosophila neurons with high accuracy and applies it to blowflies.

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.

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.