Gain modulation

In sensory systems, stimuli are represented through the diverse firing responses and receptive fields of neurons. These features emerge from the interaction between excitatory (E) and inhibitory (I) neuron populations within the network. Changes in sensory inputs alter this balance, leading to shifts in firing patterns and the input-output properties of individual neurons and the network. While these phenomena have been studied extensively with experiments and theory, the underlying principles for combining E and I inputs are still unclear. Here, the rules for probabilistically combining E and

…Their work connects gain modulation with the balance between integration and segregation, relates it to arousal pathways, and uses coarse-graining to investigate both scale-dependent coding and shared dynamical properties across neural populations.

The integration of visuovestibular information plays a crucial role in gaze stabilization, self-motion discrimination, and navigation. While extensive research has explored these functions in non-image forming pathways and higher order visual cortices, the influence of the vestibular system on early stages of visual processing remains less understood. In this study, we aimed to investigate the impact of vestibular inputs on visual responses within key region receiving retinal input: the thalamic Lateral Geniculate Nucleus (LGN). To determine the specific effects of vestibular information on vi

…as a slow and spatially diffuse gain modulation. The invariance is not present on the

…as a slow and spatially diffuse gain modulation. The invariance is not present on the

Spontaneous behavior in animals and humans shows a striking amount of variability both in the spatial domain (which actions to choose) and temporal domain (when to act). Concatenating actions into sequences and behavioral plans reveals the existence of a hierarchy of timescales ranging from hundreds of milliseconds to minutes. How do multiple timescales emerge from neural circuit dynamics? How do circuits modulate temporal responses to flexibly adapt to changing demands? In this talk, we will present recent results from experiments and theory suggesting a new computational mechanism generating

Spontaneous behavior in animals and humans shows a striking amount of variability both in the spatial domain (which actions to choose) and temporal domain (when to act). Concatenating actions into sequences and behavioral plans reveals the existence of a hierarchy of timescales ranging from hundreds of milliseconds to minutes. How do multiple timescales emerge from neural circuit dynamics? How do circuits modulate temporal responses to flexibly adapt to changing demands? In this talk, we will present recent results from experiments and theory suggesting a new computational mechanism generating