Applications of RC in speech processing, robot navigation and control, robot localization, photonic computation, etc. Head: Benjamin Schrauwen
The home of Echo State Networks. Head: Herbert Jaeger
Artificial self-organized cognitive learning systems that learn multimodal modular sensorimotor bodyspace representations for effective learning and behavior. Head: Martin V. Butz
development of a new generation of embodied agents that are able to learn and develop autonomously (without human intervention) from the physical world. Head: Mohamed Oubbati
The home of Liquid State Machines. Head: Wolfgang Maass.
Cognitive neuroscience. Head: Peter F. Dominey. Peter described the RC principle as a model of sequence processing in the human brain.
Speech recognition technology research. Head: Jean-Pierre Martens. Recently interested to investigate RC modules in complex speech recognition systems.
An SME specialized on text and handwriting recognition and analysis solutions. Since several years embarking on RC methods in core recognition modules. CTO and co-founder: Welf Wustlich
Cognitive Robotics and Learning: application of RC in robotics for learning kinematics and movement generation, etc.