Special Sessions
Special Session on Challenges in Neuroengineering -
SSCN
2012
Regular Paper Submission:
July 5, 2012
Authors Notification (regular papers):
July 18, 2012
Final Regular Paper Submission and Registration:
July 30, 2012
Scope
Neuroengineering is a discipline within biomedical engineering. This interdisciplinary approach combines principles from machine learning, signal processing theory, and computational neuroscience applied to problems in basic and clinical neuroscience.
The ultimate goal of neuroengineering is a technological revolution, where machines would interact in real-time with the brain. Machines and brains could interface, enabling normal function in cases of injury or disease, brain monitoring and/or medical rehabilitation of brain disorders.
Much current research in neuroengineering is focused on understanding the coding and processing of information in the sensory and motor systems, quantifying how this processing is altered in the pathological state, and how it can be manipulated through interactions with artificial devices including brain-computer interfaces and neuroprosthetics.
Our brains are buzzing with electrical activity moving in and out of neural cells, sending electrical impulses along their axons, and exchanging chemical messages. Neural signals allow us to observe neuronal activity in real time.
Special Session on Bio-Inspired Models of Computation and Languages -
BioMoLa
2012
Regular Paper Submission:
July 5, 2012
Authors Notification (regular papers):
July 18, 2012
Final Regular Paper Submission and Registration:
July 30, 2012
Scope
Evolutionary Computation (EC) is one of the most relevant, better known and applied bio-inspired models of computations that shares its inspiration with the emerging field in formal language theory called Natural Computing (NC). NC is mainly focused on the computing capabilities of formal devices that abstract some natural complex phenomena. In general, NC (and EC) offers strong models for solving hard real-world problems inspired in the way in which some natural system performs some specific and difficult task. To apply EC, specifically, we have to translate our problem into a search across an appropriate space of candidate solutions. NC models are, in general, inherently parallel and able to reach better performance under some circumstances. NC is, therefore, currently being considered as an area in which one could find computer designs different from von Neumann architecture.
Special Session on Future of Evolutionary Computation -
FEC
2012
Regular Paper Submission:
July 5, 2012
Authors Notification (regular papers):
July 18, 2012
Final Regular Paper Submission and Registration:
July 30, 2012
Scope
Evolutionary Computation is around for two decades, we saw the unsteady growing phases of the eighties and the booming of the last years, but it is time to look forward and to see where the new directions are and where to find new interesting developments. This special session is devoted to discuss new methodologies and new applications that are able to maintain or even increase the appeal and importance of Evolutionary or bio inspired approach.