Cortical gain regulation allows neurons to respond adaptively to changing inputs. Neural
gain is modulated by internal and external influences, including attentional and arousal …

Neuronal networks with strong recurrent connectivity provide the brain with a powerful
means to perform complex computational tasks. However, high-gain excitatory networks are …

Perceptual decision-making is highly dependent on the momentary arousal state of the
brain, which fluctuates over time on a scale of hours, minutes, and even seconds. The …

The segregation of figures from the background is an important step in visual perception. In
primary visual cortex, figures evoke stronger activity than backgrounds during a delayed …

Neuronal responses to similar stimuli change dynamically over time, raising the question of
how internal representations can provide a stable substrate for neural coding. Recent work …

The concept of a dynamic excitation/inhibition balance tuned by circuit disinhibition, which
can shape information flow during complex behavioral tasks, has arisen as an important and …

Many studies have shown that the excitation and inhibition received by cortical neurons
remain roughly balanced across many conditions. A key question for understanding the …

Dopamine modulation in the prefrontal cortex (PFC) mediates diverse effects on neuronal
physiology and function, but the expression of dopamine receptors at subpopulations of …

Sustainable research on computational models of neuronal networks requires published
models to be understandable, reproducible, and extendable. Missing details or ambiguities …

Computational models are powerful tools for exploring the properties of complex biological
systems. In neuroscience, data-driven models of neural circuits that span multiple scales are …