To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
Adaptive filtering and system identification techniques form a cornerstone in modern signal processing and control theory, providing dynamic methods for modelling and real-time adjustment in complex ...
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