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2015 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain
(IEEE CCMB'15)

Computational Intelligence (CI) has for many years drawn inspiration from the brain to produce data and signal processing techniques and systems which are capable of learning, evolving, adapting, self-organizing, communicating effectively with humans and machines and controlling complex systems. Brain-inspired methods are now widely used to process data produced by the brain with the aim of improving our understanding of how the brain functions and produces the remarkable intelligence exhibited by humans, which is yet elusive for computational systems.

Topics

This Symposium focuses on several core topics associated with cognitive algorithms, mind and brain, which are deemed to be of critical importance as we progress into the 21st century.

In general, we are interested in dynamic brain models and brain-inspired methods which help solving problems in psychology and cognitive science, integrate signals from different domains, help in recognition and prediction. Topics of interest include

Symposium Co-Chairs

Leonid I. Perlovsky
Harvard University and Air Force Research Laboratory, USA.
Email: leonid@seas.harvard.edu
Jose F. Fontanari
University of Sao Paulo, Brazil.
Email: fontanari@ifsc.usp.br
Angelo Cangelosi
Plymouth University, UK.
Email: a.cangelosi@plymouth.ac.uk
Daniel Levine
University of Texas, USA.
Email: levine@uta.edu
Robert Kozma
The University of Memphis, USA.
Email: rkozma@memphis.edu

Program Committee