Correlated Excitatory \& Inhibitory Noise Mitigates Hebbian Synaptic Drift
Strongly interconnected neuronal populations are thought to be a substrate for memory in the brain. Dynamic connectivity relies on plasticity rules to adjust synapses, enabling learning and neural circuit formation. Networks with only excitatory synaptic plasticity can become unstable due to runaway excitation, compromising a circuit's ability to store memories. To counter this, homeostatic synaptic plasticity of inhibitory connections provide a matched negative feedback that stabilizes neural activity and any associated learning. In this study, we outline the conditions under which recurrent