Menachem Stern
Institute for Atomic and Molecular Physics(NL)
Publications by Year
Research Areas
Neural Networks and Applications, Neural Networks and Reservoir Computing, Advanced Memory and Neural Computing, Modular Robots and Swarm Intelligence, Neural dynamics and brain function
Most-Cited Works
- Subthalamic GAD gene transfer in Parkinson disease patients who are candidates for deep brain stimulation.(2001)
- → Learning Without Neurons in Physical Systems(2023)88 cited
- → Demonstration of Decentralized Physics-Driven Learning(2022)69 cited
- → Supervised learning through physical changes in a mechanical system(2020)61 cited
- → Self-folding origami at any energy scale(2017)55 cited
- → Shaping the topology of folding pathways in mechanical systems(2018)39 cited
- → Soft matter roadmap*(2023)28 cited
- → Machine learning without a processor: Emergent learning in a nonlinear analog network(2024)27 cited
- → Treatment of organic bipolar mood disorders in Parkinson's disease(1994)26 cited
- → Desynchronous learning in a physics-driven learning network(2022)26 cited