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The development of the model this section extends the metaphysiological Eqs.
Having explored the conditions under which anti-phase representations may arise through lateral synaptic plasticity in a single-layer model, this section extends this work to a two-layer model.
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Based on the obtained operational scenarios and the proposed reliability models, this section explains the optimization methods for the planning of stand-alone microgrids.
As the three aforementioned software tools can provide different perspectives on the dynamics of discrete/logical models, this section is organised to demonstrate their complementarity.
The model in this section is an adaptation of the model in Di Tella and Dubra (2013) to labor markets.
The probit model was estimated with an estimate of θ obtained from the model in this section.
We illustrate the model in this section by adding treatment to the simulation in Fig. 14 and Fig. 15.
We present the hierarchical sensor network model in this section.
The signal model for this section is as follows.
We provide the detailed description of the considered system model in this section.
For the sake of clarity, we use the Mooney-Rivlin constitutive model in this section to illustrate the approach.
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