S. Amin Moosavi

The paper investigates how stimulus information in high-dimensional neural activity scales with population size in mouse V1, finding that scale-invariant noise does not limit information as population size increases.

This paper introduces a method to estimate receptive fields during free viewing by modeling eye position effects as phase shifts using Hartley basis functions, improving sharpness by 56% in mouse V1 recordings.

The paper shows contrast and pattern adaptation in visual cortex share a common gain control mechanism by analyzing population response distributions.

The paper explains a universal power law in visual adaptation as a trade-off between representation fidelity and energy cost using a computational model.

The paper investigates the temporal dynamics of sparse coding in mouse primary visual cortex, showing increasing coding efficiency over time.

The paper shows that contrast gain control can be viewed as a reparameterization of a population response curve, invariant across environments.