Self Organization in Auditory Neural Models
On its sensory side, the nervous system has many modalities (vision, audition, olfaction, etc.), and in each case the central computing machinery appears to be organized as a series of layered structures. If the computing machinery in each case uses the same self-organization algorithm and we can discover that algorithm, then we will have a powerful tool for design of artificial sensory systems. For example, the algorithm could be used in robotics to yield a specialized architecture for each sensory modality in a robot, even for sensory modalities not present in animals.
Unable to display preview. Download preview PDF.
- Grossberg, S. (1988). Image fusion. DARPA Neural Network Study. Fairfax, VA, AFCEA International Press, pp. 485–498.Google Scholar