Onur Aydin

The paper builds a biohybrid robot with muscle-driven tail motion to study swimming dynamics and muscle adaptation, achieving speeds surpassing low-Reynolds number predictions.

The paper introduces a modular, open-source platform for interfacing with living neurons, enabling scalable and versatile recording and stimulation across various neural cultures and applications.

The paper develops a neural activity score (NAS) using PCA to quantify neural network development and treatment effects on MEAs, showing it accurately reflects expected results.