Communicating sequential processes
Communicating sequential processes
A Framework for Neural Net Specification
IEEE Transactions on Software Engineering
Networks of spiking neurons: the third generation of neural network models
Transactions of the Society for Computer Simulation International - Special issue: simulation methodology in transportation systems
Multiagent systems
Formal neural network specification and its implications on standardization
Computer Standards & Interfaces - Special issue on best papers of Computer Standards & Interfaces, 1986-1998
Biologically-Inspired On-Chip Learning in Pulsed Neural Networks
Analog Integrated Circuits and Signal Processing - Special issue on Learning on Silicon
Communication and Concurrency
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
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A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematical framework, but it can also be illustrated graphically and can be extended into a language in order to be automated. Its basic building blocks are processing entities, finer grained than neurons, connected by instant links, and as such they form sets of interacting entities resulting in bigger and more sophisticated structures. The hierarchical nature of the notation supports both top-down and bottom-up specification approaches. The use of the notation is evaluated by a detailed example of an integrated tangible agent consisting of sensors, a computational part, and actuators. A process from specification to both software and hardware implementation is proposed.