2026-10-12 ペンシルベニア州立大学(Penn State)
＜関連情報＞
- https://www.psu.edu/news/research/story/tiny-droplets-can-form-soft-networks-brain-inspired-computing
- https://www.science.org/doi/10.1126/sciadv.aed0971
ニューロモルフィック組織：脳にヒントを得た時間計算のための柔軟な生体分子ネットワーク Neuromorphic tissues: Soft biomolecular networks for brain-inspired temporal computing
Nicholas X. Armendarez, Ahmed S. Mohamed, Md Sakib Hasan, and Joseph S. Najem
Science Advances Published:23 Jul 2026
DOI:https://doi.org/10.1126/sciadv.aed0971
Abstract
Brains achieve extraordinary efficiency in processing temporal information through dense interconnectivity and recurrent feedback among neurons. Inspired by this principle, we introduce neuromorphic tissues—soft biomolecular networks comprising cell-sized aqueous compartments interconnected by lipid membranes containing voltage-gated ion channels. When a compartment is electrically stimulated by current injection, the membranes separating it from neighboring compartments polarize until channel activation occurs, transiently transforming the interface into a conductive synapse that couples adjacent nodes. These dynamics generate intrinsic physical recurrence, enabling the network to encode, propagate, and reconstruct time-dependent signals without external feedback circuitry. Experiments and modeling demonstrate nonlinear, fading-memory, and recurrent dynamics characteristic of reservoir computing, enabling accurate prediction of nonlinear and chaotic sequences such as NARMA-10 and the Lorenz attractor. This work suggests that spatial interconnectivity can enhance the computational capabilities of physical reservoirs and highlights soft, self-assembled materials as a promising platform for implementing such interconnected systems.
