A Functional Architecture Approach to Neural Systems

coward, l andrew (2000) A Functional Architecture Approach to Neural Systems. [Journal (Paginated)]

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The technology for the design of systems to perform extremely complex combinations of real-time functionality has developed over a long period. This technology is based on the use of a hardware architecture with a physical separation into memory and processing, and a software architecture which divides functionality into a disciplined hierarchy of software components which exchange unambiguous information. This technology experiences difficulty in design of systems to perform parallel processing, and extreme difficulty in design of systems which can heuristically change their own functionality. These limitations derive from the approach to information exchange between functional components. A design approach in which functional components can exchange ambiguous information leads to systems with the recommendation architecture which are less subject to these limitations. Biological brains have been constrained by natural pressures to adopt functional architectures with this different information exchange approach. Neural networks have not made a complete shift to use of ambiguous information, and do not address adequate management of context for ambiguous information exchange between modules. As a result such networks cannot be scaled to complex functionality. Simulations of systems with the recommendation architecture demonstrate the capability to heuristically organize to perform complex functionality.

Item Type:Journal (Paginated)
Keywords:Cognitive architectures; Computational models; Information context; Functional modules; REM Sleep
Subjects:Neuroscience > Behavioral Neuroscience
Computer Science > Machine Learning
Neuroscience > Neuropsychology
Psychology > Physiological Psychology
ID Code:2302
Deposited By: coward, l andrew
Deposited On:29 Jun 2002
Last Modified:11 Mar 2011 08:54

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