Stability of the random neural network model
Neural Computation
Learning in the recurrent random neural network
Neural Computation
Traffic and video quality with adaptive neural compression
Multimedia Systems - Special issue on multimedia networking
Task assignment and transaction clustering heuristics for distributed systems
Information Sciences: an International Journal - Special issue: load balancing in distributed systems
Learning neural networks for detection and classification of synchronous recurrent transient signals
Signal Processing - Special issue on neural networks
Random neural networks with multiple classes of signals
Neural Computation
Measurement and performance of a cognitive packet network
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on networking middleware: selected papers from the TERENA networking conference 2001
Dealing with software viruses: A biological paradigm
Information Security Tech. Report
Improved neural heuristics for multicast routing
IEEE Journal on Selected Areas in Communications
Video quality and traffic QoS in learning-based subsampled and receiver-interpolated video sequences
IEEE Journal on Selected Areas in Communications
Function approximation with spiked random networks
IEEE Transactions on Neural Networks
Learning in the multiple class random neural network
IEEE Transactions on Neural Networks
Nonnegative Least Squares Learning for the Random Neural Network
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Learning in the feed-forward random neural network: A critical review
Performance Evaluation
Network routing control with G-networks
Performance Evaluation
An initiative for a classified bibliography on G-networks
Performance Evaluation
Bibliography on G-networks, negative customers and applications
Mathematical and Computer Modelling: An International Journal
Large scale simulation for human evacuation and rescue
Computers & Mathematics with Applications
The Multilayer Random Neural Network
Neural Processing Letters
Modelling and analysis of gene regulatory networks based on the G-network
International Journal of Advanced Intelligence Paradigms
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Large-scale distributed systems, such as natural neuronal and artificial systems, have many local interconnections, but they often also have the ability to propagate information very fast over relatively large distances. Mechanisms that enable such behavior include very long physical signaling paths and possibly saccades of synchronous behavior that may propagate across a network. This letter studies the modeling of such behaviors in neuronal networks and develops a related learning algorithm. This is done in the context of the random neural network (RNN), a probabilistic model with a well-developed mathematical theory, which was inspired by the apparently stochastic spiking behavior of certain natural neuronal systems. Thus, we develop an extension of the RNN to the case when synchronous interactions can occur, leading to synchronous firing by large ensembles of cells. We also present an O(N3) gradient descent learning algorithm for an N-cell recurrent network having both conventional excitatory-inhibitory interactions and synchronous interactions. Finally, the model and its learning algorithm are applied to a resource allocation problem that is NP-hard and requires fast approximate decisions.