Eduardo Carvalho

Closed-loop control of in vitro neuronal activity using reinforcement learning after in silico pre-training

In silico-to-in vitro transfer strategy that achieves efficient state-dependent control of network bursting in cultured neurons is demonstrated and it is demonstrated that effective control policies can be derived in biophysically calibrated digital twins and transferred directly to living networks.