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 …

Recurrent networks are ubiquitous in the brain, where they enable a diverse set of
transformations during perception, cognition, emotion, and action. It has been known since …

Irregular ongoing activity in cortical networks is often modeled as arising from recurrent
connectivity. Yet it remains unclear to what extent its presence corrupts sensory signal …

In neuronal networks, the changes of synaptic strength (or weight) performed by spike-timing-
dependent plasticity (STDP) are hypothesized to give rise to functional network structure …

Neurons in the neocortex receive a large number of excitatory and inhibitory synaptic inputs.
Excitation and inhibition dynamically balance each other, with inhibition lagging excitation …

A signature feature of cortical spike trains is their trial-to-trial variability. This variability is
large in the spontaneous state and is reduced when cortex is driven by a stimulus or task …

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 …

Neural mass signals from in-vivo recordings often show oscillations with frequencies
ranging from< 1 to 100 Hz. Fast rhythmic activity in the beta and gamma range can be …

Acetylcholine (ACh) is a regulator of neural excitability and one of the neurochemical
substrates of sleep. Amongst the cellular effects induced by cholinergic modulation are a …

A basic—yet nontrivial—function which neocortical circuitry must satisfy is the ability to
maintain stable spiking activity over time. Stable neocortical activity is asynchronous, critical …