3 papers
cs.LG2026
Connectome-to-Function: Conditional Generative Latent Representations for Reservoir Computing
Zhuolin Yu, Xingyu Liu, Yuanhao Jia +4
Connectomes, graph-level maps of neurons and their synaptic connections, provide a structural basis for understanding how brain circuits support function and computation. However,…
q-bio.NC2025
Decoding Cortical Microcircuits: A Generative Model for Latent Space Exploration and Controlled Synthesis
Xingyu Liu, Yubin Li, Guozhang Chen
A central idea in understanding brains and building artificial intelligence is that structure determines function. Yet, how the brain's complex structure arises from a limited set…
cs.AI2025
Unveiling and Steering Connectome Organization with Interpretable Latent Variables
Yubin Li, Xingyu Liu, Guozhang Chen
The brain's intricate connectome, a blueprint for its function, presents immense complexity, yet it arises from a compact genetic code, hinting at underlying low-dimensional organi…