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1.827.581  Articles
1 of 182.759 pages  |  10  records  |  more records»
Besides usual spikes employed in spiking neural P systems, we consider “anti-spikes", which participate in spiking and forgetting rules, but also annihilate spikes when meeting in the same neuron. This simple extension of spiking neural P systems is shown... see more

This paper discusses the application of fuzzy reasoning spiking neural P systems with trapezoidal fuzzy numbers (tFRSN P systems) to fault diagnosis of power systems, where a matrix-based fuzzy reasoning algorithm based on the dynamic firin... see more

We consider spiking neural P systems as devices which can be used to perform some basic arithmetic operations, namely addition, subtraction, comparison and multiplica- tion by a fixed factor. The input to these systems are natural numbers expressed in bin... see more

This paper presents a novel approach for detecting fault lines in a small current grounding system using fuzzy reasoning spiking neural P systems. In this approach, six features of current/voltage signals in a small current grounding system are analyzed b... see more

With a motivation related to gene expression, where enzymes act in series, somewhat similar to the train spikes traveling along the axons of neurons, we consider an extension of spiking neural P systems, where several types of “spikes" are allowed. The po... see more

Spiking neural P systems (SN P systems, for short) are a class of distributed and parallel computing devices inspired from the way neurons communicate by means of spikes. In most of the SN P systems investigated so far, the system communicates on command,... see more

The application of spiking neural P systems with rules and weights on synapses to arithmetic operations is discussed in this paper. We design specific spiking neural P systems with rules and weights on synapses for successfully performing addition, multip... see more

Hybrid neural networks based on the idea of combining spiking neural networks and the principles of fuzzy logic are considered. The architecture of self-learning fuzzy spiking neural network based on discrete second-order critically damped response units ... see more

Background. The study is devoted to understanding the physiological origin of oscillation and the functional role of such oscillations. The purpose of the study was to conceptualize the role of oscillatory signals in different frequency bands by network s... see more

1 of 182.759 pages  |  10  records  |  more records»