Neuromodulation is central to the adaptation and robustness of animal nervous systems.
This paper explores the classical paradigm of indirect adaptive control to design …

We illustrate the potential of neuromorphic control on the simple mechanical model of a
pendulum, with both event-based actuation and sensing. The controller and the pendulum …

In this work, we propose a distributed adaptive observer for a class of nonlinear networked
systems inspired by biophysical neural network models. Neural systems learn by adjusting …

An adaptive observer is proposed to estimate the synaptic distribution between neurons
asymptotically from the measurement of a part of the neuronal activity and a delayed neural …

The control of neuronal networks, whether biological or neuromorphic, relies on tools for
estimating parameters in the presence of model uncertainty. In this work, we explore the …

Obtaining predictive models of a neural system is notoriously challenging. Detailed models
suffer from excess model complexity and are difficult to fit efficiently. Simplified models must …

Given a non-contracting trajectory of a nonlinear system, we consider the question of
designing an input perturbation that makes the perturbed trajectory contracting. This paper …