Sentence examples for models of networks from inspiring English sources
Therefore, studying the simplest models of networks, which are ensembles with a small number of elements, becomes of particular interest.
To mimic, and perhaps understand, these behaviors, scientists build computer models of networks of brain cells, known as neural networks, using computational principles inspired by real brains.
In its simple mathematical models of networks of neurons, we find an anticipation of today's work in neural networks and the larger area of machine learning, which is a part of robotics, data science, and other applications where computer-driven machinery is continually updating its decision processes based on new input.
Unlike Dynamic Causal Modeling (DCM) and Bojak's mean field model, Synthetic ERP builds on models of networks that mediate the relation between the brain's inputs, outputs, and internal states in executing a specific task.
Topics include models of individual nerve cells and their dynamics, models of networks of neurons coupled by synapses and gap junctions, origins and functions of population rhythms in neuronal networks, and models of synaptic plasticity.
Kinouchi and Copelli [16] examine dynamic range in models of networks with uniform connectivity operating with discrete time dynamics where multiple firings can occur within each time step.
Further theoretical work in this vein, for example combining local-to-global reciprocity with models of network structure45,46,47,48,49, is an important direction for future research.
He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation.
Both integrated and discrete operational models of network customizations can be supported in our prototype implementation.
Preferential attachment (PA) models of network structure are widely used due to their explanatory power and conceptual simplicity.
It is not the first time that a generative model for text has walked parallel paths with models of network growth.
