Workshop on Information Processing in Cognition (IPCog-2013) -
Complex systems approaches to computational neuroscience and artificial neural systems
27-28 February, 2013
This workshop seeks to examine the intersection of the studies of computation in biological cognition, and the design of artificial cognitive systems, from the perspective of information processing in complex systems.
Computational neuroscience has produced statistically robust tools to analyse brain imaging data, revealing much about how different brain regions interact to create outcomes. A topical area is investigating mechanisms that give rise to complex information processing, in terms of how information is stored and transferred across brain networks. Certainly it is well understood that biological cognition is vastly different from the Von Neumann computing paradigm, involving an enormous number of distributed, simple units. From this perspective, there is much scope for complex systems science to provide insights here, including areas such as: measures of information dynamics, network structure and inference, and synchronization.
From another perspective, traditional computation faces the challenge of matching the performance of biological computation. The challenge must be met in order to deliver next-generation leaps in performance, and to be able to handle future problems. There are several approaches towards these challenges, with much hype around "Big Data", and the large-scale Blue Brain project. Again however, there is certainly much scope for complex systems science to provide insights to further the field, e.g., regarding biologically inspired hardware and software, combinations of distributed computing and data-processing together, and principled approaches to guiding the emergence of intelligence.
This workshop seeks to bring together active researchers from these communities to consider these issues, discuss current research in the area and future directions and challenges.
Via Complexity Digest