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Designing optimal perturbation inputs for system identification in neuroscience

Investigating the dynamics of neural networks, which are governed by connectivity between neurons, is a fundamental challenge in neuroscience. Because passive (spontaneous) activity provides only limited information for estimating connectivity, perturbation-based approaches are widely applied in neuroscience as they can evoke underlying hidden dynamics. However, the characteristics of such…

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