Recurrent excitatory circuits face extreme challenges in balancing efficacy and stability. We
recorded from CA3 pyramidal neuron pairs in rat hippocampal slice cultures to characterize …

Neurons adjust their intrinsic excitability when experiencing a persistent change in synaptic
drive. This process can prevent neural activity from moving into either a quiescent state or a …

Many cortical networks contain recurrent architectures that transform input patterns before
storing them in short-term memory (STM). Theorems in the 1970's showed how feedback …

The rules by which neuronal activity causes long-term modification of synapses in the
central nervous system are not fully understood. Whereas competitive or correlation-based …

GABAergic inhibitory interneurons are embedded in almost all central neuronal networks,
where they act to influence cell excitability, spike timing, synchrony, and oscillatory activity …

Numerous experimental data show that cortical networks of neurons are not silent in the
absence of external inputs, but rather maintain a low spontaneous firing activity. This aspect …

Cortical circuits generate excitatory currents that must be cancelled by strong inhibition to
assure stability. The resulting excitatory-inhibitory (EI) balance can generate spontaneous …

The synapse is typically viewed as a single compartment, which acts as a linear gain
controller on incoming input. Traditional plasticity rules enable this gain control to be …

The ability to acquire and maintain appropriate representations of time-varying, sequential
stimulus events is a fundamental feature of neocortical circuits and a necessary first step …

Homeostatic synaptic scaling is a form of synaptic plasticity that adjusts the strength of all of
a neuron's excitatory synapses up or down to stabilize firing. Current evidence suggests that …