Linear and nonlinear device models are costly and time-consuming to develop. Most compact model parameters are extracted from linear, 50-ohm S-parameters and predicting behavior under extreme ...
It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear behaviours. Here we challenge this assumption by leveraging mathematical models derived from measurements ...
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