Understanding brain function requires linking molecular, cellular, circuit, and systems-level data at whole-brain scale. We combine the BrainX software, our differentiable and learnable algorithms, and multi-modal neuroscience data to build whole-brain models of model organisms — serving as both scientific output and algorithm validation, and as the foundation for general brain models.
A whole-brain spiking model built on public Drosophila connectomes (FlyWire, Hemibrain) and multi-modal neural recordings — used to dissect olfaction, vision, and decision circuits.
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This study combines the FlyWire synapse-resolution connectome with brain-wide calcium recordings of spontaneous activity in head-fixed Drosophila to fit a perturbable whole-brain model. Systematic in silico perturbations identify key neurons and reciprocal synapses with excitatory partners that sustain brain-wide resting-state dynamics.
A whole-brain dynamics model combining larval zebrafish brain-wide calcium imaging with emerging connectomics — a vertebrate entry-point for whole-brain simulation studies of sensorimotor integration and learning.
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2.1 ΣBrains-Lab: Digital Zebrafish and Cognitive Computing Brain System Officially Released at WAIC 2026
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