Julian Rossbroich

The paper proposes that deviations from excitation-inhibition balance encode local error signals for synaptic plasticity, enabling efficient learning in neural networks.

The paper identifies functional subtypes of short-term synaptic dynamics in mouse and human data using clustering and supervised learning, finding similar subtypes across species.

The paper introduces a linear-nonlinear model to capture synaptic dynamics, showing it is more adaptable than previous models and can efficiently characterize synaptic processing.