Conference: Bio-Inspired Models and Hardware for Brain-like Intelligent Functions

This sounds like a pretty interesting conference, even if it sounds a little broad. Thanks to Positive Technology Journal for bringing it to my attention...

ISABEL 2006: Bio-Inspired Models and Hardware for Brain-like Intelligent Functions
August 24-25, 2006, Seoul, Korea

This symposium aims to bring together international researchers from the cognitive neuroscience and engineering communities for biologically-inspired models and system implementations with human-like intelligent functions. The previous meeting was held as a post-IJCNN Symposium on Bio-Inspired Models and Hardware (BIMH2005) at Montreal, Canada, on August 5, 2005. Although artificial neural networks are based on information processing mechanisms in our brain, there still exists a big gap between the biological neural networks and artificial neural networks. The more intelligence we would like to incorporate into artificial intelligent systems, the more biologically-inspired models and hardware are required. Fortunately cognitive neuroscience has developed enormously during the last decade, and engineers now have more to learn from the science. In this symposium we will discuss what engineers want to learn from the science and how the scientists may be able to provide the knowledge. Then, mathematical models will be presented with more biological plausibility. The hardware and system implementation will also be reported with the performance comparison with conventional methods for real-world complex applications. A panel will be organized for the future research directions at the end. This symposium will promote synergetic interaction among cognitive neuroscientists, neural networks and robotics engineers, and result in more biologically-plausible mathematical models and hardware systems with more human-like intelligent performance in real-world applications.

Topics include, but are not limited to:

• Models of auditory pathway.
• Models of visual pathway.
• Models of cognition, learning, and inference.
• Models of attention, emotion, and consciousness.
• Models of autonomous behavior.
• Hardware implementation of bio-inspired models.
• Engineering applications of bio-inspired models.

Visit the conference website for detailed information.