Jean Marc Fellous
Papers
2
Total Citations
73
H-Index
2
About
Jean-Marc Fellous is a pioneering researcher working at the intersection of neuroscience, cognitive science, and robotics, with a particular focus on the computational and biological underpinnings of emotion. His work challenges conventional boundaries by exploring how emotional processes observed in biological organisms — from animals to humans — can inform the design and behavior of artificial systems, particularly robots. His most influential contribution, "From Human Emotions to Robot Emotions" (2004), has garnered 55 citations and provocatively argues that our understanding of emotion has been unnecessarily constrained by an anthropocentric perspective. By drawing on comparative and evolutionary frameworks, Fellous makes the case that emotional processing is not uniquely human, opening the door for meaningful emotional architectures in robotic systems. Building on this foundation, his 2005 work, "Toward Basic Principles for Emotional Processing," examines fear circuitry in the brain as a model for implementing affective computation in robots. Fellous's research has had meaningful impact in affective computing, cognitive robotics, and computational neuroscience, helping to bridge the gap between biological emotion research and practical machine intelligence — making him a notable figure for students interested in where neuroscience meets artificial systems.
Research Focus
Key Achievements
Top Papers
- 1From human emotions to robot emotions55 citations · 2004
- 2Toward basic principles for emotional processing: What the fearful brain tells the robot18 citations · 2005