معرفی
Christopher L. Buckley is Professor of Neural Computation (Informatics) at the School of Engineering and Informatics, University of Sussex, where he has been a faculty member since 2014. He was promoted from Lecturer to Senior Lecturer in 2018 and to Professor in 2022. His research bridges theoretical neuroscience and artificial intelligence, with a focus on active inference, predictive coding, and embodied cognition.
- Master of Physics (First Class), University of Edinburgh, 2000
- MSc in Evolutionary and Adaptive Systems, University of Sussex, 2001
- PhD in Cognitive Robotics, University of Southampton, 2008
His research interests center on understanding how neural systems give rise to robust behavior and how such principles can inform AI. He investigates machine learning models grounded in neuroscience, particularly through the lens of the free energy principle and active inference. His work spans artificial intelligence, machine learning, theoretical neuroscience, cognitive robotics, and artificial life, with applications in planning, perception, and adaptive systems.
His recent publications reveal a strong trend in scaling predictive coding, hybrid active inference models, and rate-distortion theory for action representation. He frequently collaborates with leading researchers like Karl Friston and explores topics such as tool use, synthetic awareness, and ecosystem-level intelligence. His work appears in high-impact journals and preprint servers including Neural Computation, Frontiers in Network Physiology, and arXiv.
He has received multiple research grants from prestigious funders including Innovate UK, the John Templeton Foundation, BBSRC, and the European Union, supporting projects on synthetic awareness, neural abstraction, and brain-wide dynamics in vertebrates.
- A metapredictive model of synthetic awareness for enabling tool invention (Innovate UK)
- Modelling Abstractions in Deep Reinforcement Learning and Rate-Distortion Theory (VERSES INC)
- The Scaling-up of Purpose in Evolution (John Templeton Foundation)
- DIMENSIVE: Data-driven Inference of Models from Embodied Neural Systems (EU)
- Distributed neural processing of self-generated visual input (BBSRC)
Christopher Buckley leads an active research group at Sussex, contributing to the development of next-generation AI systems grounded in biological principles. He has no listed students in the provided data, but his collaborative network is extensive. He is not part-time, not retired, and not a former staff member, indicating ongoing active engagement in research and teaching.
