Jason Fleischer
NeuroSpine Institute, University of Manchester, Neurosciences Institute
Papers
5
Total Citations
54
H-Index
4
About
Jason Fleischer is a pioneering researcher at the intersection of neuroscience, robotics, and artificial intelligence, whose work explores how biological principles can inform machine intelligence and human-robot interaction. His key research areas include neurally controlled robotics, autonomous navigation, and the computational basis of consciousness and mental imagery. Fleischer’s most notable contribution is the development of a neurally controlled robot that competes and cooperates with humans in Segway soccer, a groundbreaking project for the RoboCup league that directly investigates real-time human-robot teamwork (19 citations). He has also made significant advances in autonomous landmark selection for robot navigation and communication, enabling robots to learn which environmental features are most useful for route-sharing (14 and 8 citations). In a highly interdisciplinary vein, Fleischer has modeled how spiking neural networks can learn visual sequences to perform mental rotation tasks, providing a mechanistic account of how imagery may arise from sensory experience (9 citations). His work on brain-based devices for studying consciousness (4 citations) further underscores his commitment to bridging neural computation and subjective experience. Through these efforts, Fleischer has established himself as a leading voice in embodied cognition and neurorobotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Sensory Anticipation for Autonomous Selection of Robot Landmarks14 citations · 2003
- 3
- 4
- 5The case for using brain-based devices to study consciousness4 citations · 2011