FlyBrainLab

FlyBrainLab enables construction, visualization, and interactive analysis of executable neural circuits derived from Drosophila connectome, synaptome, cell-type, neuroanatomical, neurogenetic, electrophysiological, and sensory datasets for larval and adult stages.

Key Features:

• 3D Exploration and Visualization: Supports automated 3D exploration and visualization of Drosophila brain circuits to examine spatial relationships within neural structures.
• Executable Circuit Creation: Creates executable neural circuit models directly from visualized connectome, synaptome, and cell-type data.
• Interactive Exploration of Functional Logic: Enables interactive interrogation and manipulation of executable circuits to probe circuit functional logic.
• Integration Across Data Modalities: Integrates computational models with neuroanatomical, neurogenetic, and electrophysiological data to produce structured executable representations.
• Efficient Model Comparisons: Supports comparison of circuit models across different researchers, developmental stages (larval and adult), and datasets.
• Utility and Circuit Libraries: Provides libraries that decipher graph structure from raw connectome and synaptome data and supplies circuit libraries for central complex neuropils and early olfactory systems in adult and larval flies.
• Molecular Transduction Libraries: Includes molecular transduction libraries for vision and olfaction and integrates them with sensory neuron activity data as entry points to circuit function discovery.

Scientific Applications:

• Functional Logic Discovery: Enabling discovery and hypothesis generation about the functional logic of Drosophila neural circuits through construction and interactive exploration of executable circuits.
• Computational Modeling and Simulation: Supporting modeling and simulation of neural function using executable circuits derived from connectome and synaptome data.
• Cross-developmental and Cross-dataset Validation: Facilitating comparison and validation of circuit models across larval and adult stages, multiple datasets, and investigator implementations.
• Sensory System Analysis: Investigating sensory coding and circuit mechanisms in vision and olfaction by combining molecular transduction libraries with sensory neuron activity data.

Methodology:

Creation of executable circuits from connectome, synaptome, and cell-type data; deciphering graph structure from raw connectome and synaptome datasets; integration of computational models with neuroanatomical, neurogenetic, and electrophysiological data; and use of molecular transduction libraries combined with sensory neuron activity data as entry points to circuit function.