Paul F.M.J. Verschure 2019-09-24T16:35:28+00:00

Project Description

Paul F.M.J. Verschure

Group Leader / ICREA Research Professor
pverschure@ibecbarcelona.eu
+34 93 401 19 89

Research professor  Catalan Institute of Advanced Research (ICREA),

Group leader at the Institute for Bioengineering of Catalonia (IBEC) and the Barcelona Institute of Science and Technology (BIST).

Professor of Cognitive science and Neurorobotics at the Master in Cognitive Systems and Interactive Media (CSIM), Technology Department, Universitat Pompeu Fabra

Paul received both his Ma. and PhD in psychology. His scientific goal is to find a unified theory of mind, brain and body through the use of synthetic methods and to apply such a theory to the development of novel cognitive technologies. Paul has pursued his research at different institutes in the US at the Neurosciences Institute and The Salk Institute, both in San Diego,  and in Europe at the University of Amsterdam, the University of Zurich, the Swiss Federal Institute of Technology-ETH, the Universitat Pompeu Fabra and currently IBEC and BIST in Barcelona.

Paul’s research spans Neuroscience, Cognitive Science, Neuropsychology, Complexity and Data Science, Robotics and Artificial Intelligence. His scientific aim is to develop a unified theory of mind and brain, to validate this theory using both synthetic methods and by applying it to technologies that support and advance the human condition. Paul manages a multidisciplinary team of about 30 researchers and technicians including neuroscientists, physicists, engineers, psychologists and computer scientists with whom he has published over 400 articles in leading journals and conferences in a range of disciplines. Paul is a regular invited speaker at relevant scientific conferences and international policy events such as World Health Summit, Storm of Thought AbuDhabi, Global Summit of Women and Science Europe, a consultant for the
European Commission regarding the integration of Neuroinformatics in the 5th- 6th and 7th FP, Horizon 2020, board member of Advanced Biosystems, Cognitive Systems Research and Connection Science and reviews for a number of journals and conferences including Science, Nature, Philosophical Transactions of the Royal Society London, Trends in Neuroscience, IEEE neural networks, PLoS Computational Biology and Proceedings of the National Academy of Sciences and several others.
To bring his science to society Paul has founded a spin-off company and two foundations. Paul is founder/CEO of Eodyne Systems S.L. (Eodyne.com), which is commercializing novel science grounded neurorehabilitation, education and cultural heritage technologies. He is founder/Chairman of the Future Memory Foundation (futurememoryfoundation.org) which aims at supporting the development of new tools and paradigms for the conservation, presentation, and education of the history of the Holocaust and Nazi crimes. In addition, Paul is
founder/Chairman of the Convergent Science Network Foundation (convergentsciencenetwork.eu and csnetwork.eu) which hosts the annual Living Machines conference and Barcelona Cognition, Brain and Technology summer school. Paul has completed 15 Ironman races.

full bibliography at http://specs-lab.com/publications/

some relevant links below

– Consciousness solves the H5W problem (started 2010): The next challenge for the DAC theory: consciousness.

– Distributed Adaptive Control: An architecture of perception, cognition and behavior (started: 1990) DAC is a theory of the Mind-Brain-Behavior Nexus that has been developing over the last 20 years

– Rehabilitation Gaming Station – RGS (started: 2004) Neurorehabilitation for stroke

– Temporal Population Code – TPC (started: 2001) Starting with a suggestion in a paper by Buanomono and Merzenich with Reto Wyss we developed the idea (2003) that the spatially averaged activity of neuronal populations can provide a compact and high-capacity code of complex stimuli. By now it is it has found a lot of physiological support and applications in complex tasks such as real-time face recognition.

– Self-stabilizing negative feedback learning system of the cerebellum (started: 2000) Following the neural substrate of classical conditioning and prediction to the cerebellum. Having delayed feedback from the output nuclei of  the cerebellum (deep nucleus) to one of its input (inferior olive) seemed curious. These robot studies showed that it is a repdictive signal that stabilizes the learning process.

– Predictive Hebbian Learning (started: 1992) Starting with an observation using robot conditioning experiments in 1993 it became clear that learning in the service of behavior must be based on prediction. Later together with Armin Duff this was formulated in a more general theoretical framework that defines the role of prediction in perceptual and behavioral learning.

After ADA, “the building that believes it is an organism” exhibition (2002), it became clear that interative media are powerful tools for neurorehabilitation. With RGS we have generalized this to the rehabilitation of stroke. RGS is a unique system that has shown to be more effective than standard treatment for both acute and chronic patients.

– RoBoser (started 1998) Meeting up with Jonatas Manzolli the link between robots and art – in particular computer music systems, seemed a good idea. It lay the foundation for a sequence of about 25 public exhibitions and performances.

SOME VIDEO LECTURES BELOW: