Papers
2
Total Citations
71
H-Index
2
About
Jean Tomas is a pioneering researcher in the emerging field of embodied in vitro electrophysiology, where biological neural networks are integrated with artificial systems to study neural dynamics and adaptation. His most influential work, the NeuroBIT project (2004, 44 citations), laid the groundwork for connecting cultured neurons with robotic or computational interfaces, enabling a new paradigm for investigating how living neural tissue processes information in real time. Tomas further advanced this field with his development of a real-time closed-loop setup for hybrid neural networks (2007, 27 citations), a platform that seamlessly couples cultured neural networks with artificial components. This innovative system allows researchers to explore how biological networks adapt and learn when interacting with external stimuli, bridging the gap between in vitro neuroscience and computational modeling. By creating tools that merge living and artificial systems, Tomas has provided the neuroscience community with powerful experimental supports for studying neural plasticity, information processing, and the fundamental principles of adaptation. His work remains foundational for researchers interested in hybrid neural interfaces and embodied approaches to understanding brain function.
Research Focus
Key Achievements
Top Papers
- 1Towards an embodied in vitro electrophysiology: the NeuroBIT project44 citations · 2004
- 2A Real-Time Closed-Loop Setup for Hybrid Neural Networks27 citations · 2007