Princeton Engineering

Using Brain Cells to Do Computation

Dr. Kumar J, a Princeton postdoctoral researcher, together with Prof. Jim Sturm and Prof. Tianming Fu, unveiled a three‑dimensional (3D) neural culture system that integrates brain cells with a matching 3D electrode array. The platform enables continuous electrophysiological monitoring of living neural networks over extended periods, offering unprecedented spatial and temporal resolution. Over a six‑month experimental window, the team observed dynamic rewiring of synaptic connections as the cultured tissue was repeatedly stimulated. By presenting patterned inputs, the neurons gradually improved their ability to recognize those patterns, demonstrating a form of learning analogous to biological plasticity. The researchers are now scaling the approach to tackle more complex computational tasks. A key illustration from the study is the measurable increase in classification accuracy after successive training cycles, confirming that the biocomputer can adapt its internal wiring to optimize performance. The authors highlight the system’s dual utility: as a prototype for ultra‑efficient, brain‑inspired computing hardware and as a living testbed for probing mechanisms underlying neurodegenerative disorders such as Alzheimer’s and Parkinson’s. If refined, this technology could bridge the gap between neuromorphic engineering and genuine biological computation, delivering low‑power processing capabilities while providing a novel platform for long‑term disease modeling and drug screening.