We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
This report summarizes the results and discussions from the 11th Workshop on Aspect-Oriented Modeling (AOM). The workshop was held in conjunction with the International Conference ...
It is common that external procedures are incorporated into an equation-oriented model when modeling complex chemical process systems. The so-obtained models are called composite ...
Natural extension is a powerful tool for combining the expert judgments in the framework of imprecise probability theory. However, it assumes that every judgment is “true” and...
We give a description of a Petri net-based framework for modelling and analysing biochemical pathways, which unifies the qualitative, stochastic and continuous paradigms. Each per...