Manos Angelidis
Papers
1
Total Citations
5
H-Index
1
About
Manos Angelidis is a leading researcher at the intersection of neurorobotics and high-performance computing, best known for his foundational work on the Human Brain Project’s (HBP) Neurorobotics Platform. His primary research areas include spiking neural networks, embodied cognition, and the integration of brain-inspired models with robotic systems. Angelidis’s major contribution is the development of the HBP Neurorobotics Platform, a groundbreaking infrastructure that allows researchers to connect biologically realistic spiking neural networks to virtual and real robots via high-performance computing clusters. This platform, detailed in his highly cited 2017 paper (5 citations), democratizes complex embodiment experiments by providing an intuitive web interface, enabling scientists to study how neural dynamics translate into behavior in closed-loop sensorimotor systems. His work has been instrumental in bridging computational neuroscience and robotics, offering a scalable tool for testing hypotheses about neural computation and motor control. Angelidis’s achievements include advancing open-source tools for the global neuroscience community, making him a key figure in the push toward understanding intelligence through embodied, brain-grounded models.
Research Focus
Key Achievements
Top Papers
- 1HBP Neurorobotics Platform5 citations · 2017