Evolutionary and Adaptive Systems (EASY)

robot

Welcome to the Evolutionary and Adaptive Systems Research Group (EASY)

EASY research is concerned with the interfaces between the biological and computational sciences, particularly with reference to furthering the understanding of brains and minds.

Focused on the interfaces between the biological and computational sciences, the EASy group has been internationally prominent since it was established in the early 1990s.

The group’s research is inter- and cross-disciplinary and has many strong links with other schools at Sussex. Research foci include adaptive and cognitive robotics, computational neuroscience, consciousness science, bio-inspired computational methods, clinical applications of neural modelling, machine learning, artificial life, creative systems, history and philosophy of AI and ALife, and synthetic neuroethology.

Our research methods range from mathematical theory and philosophy to computational simulation on standard high performance computers as well as neuromorphic and GPU platforms, Neuroscience and Psychological experiments, virtual reality, and unconventional robotics.

The EASy group runs the highly successful Centre for Computational Neuroscience and Robotics (CCNR) jointly with Neuroscience groups in the School of Life Sciences. Members of the group also direct the Centre for Research in Cognitive Science (COGS) and co-direct the unique Sackler Centre for Consciousness Science (SCCS) and the new centre Sussex Neuroscience, all three important cross-campus initiatives.

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Evolutionary and Adaptive Systems Research Group at University of Sussex

RT @DrTNowotny: Excited to have a much improved updated Brian2Genn version, many thanks to @MarcelStimberg

RT @DrTNowotny: Google Summer of Code organisation have ben approved. We are hosting projects about GeNN, @GeNNTeam (github.com/genn-team/genn).

RT @DrTNowotny: Exemplary use of social media, Joe - thank you. twitter.com/jlizier/status…

RT @DrTNowotny: Just published online: How we can use GPUs to accelerate fluorescence lifetime imaging. caps.luminad.com:8080/stockage/stock…

RT @DrTNowotny: Chuffed to be shortlisted for #ichemawards best research project 2015. @SussexUni @CSIROnews @MonashUni pic.twitter.com/RH9M0Unoph

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