Dario L. Ringach

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 that heterogeneous tuning curves improve discrimination and detection performance under metabolic constraints compared to homogeneous tuning.

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

The paper shows that the L2/3 continuum in the mouse visual cortex develops through two phases: a genetically programmed initial phase and a visually experience-driven second phase.

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 adaptation increases discriminability of frequent stimuli in mouse V1 by reshaping population response geometry, despite reduced individual neuron responses.

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

The paper shows that the population response magnitude in primary visual cortex follows a separable power-law combining stimulus intensity and probability.

The paper shows that neural population responses adapt to sensory environments with power law scaling of response magnitudes and invariant directions, enabling efficient signal transmission and metabolic adjustment.

The paper shows that thalamocortical boutons in mouse primary visual cortex cluster by ON/OFF responses, mirroring cortical receptive field organization.

This study measures the development of monocular and binocular receptive field tuning in mouse V1 from eye-opening to critical period closure, revealing new features of binocular response maturation.

The paper shows that mouse V1 is organized into ON/OFF domains, which correlate with receptive field organization and simple-cell diversity.

This study shows that vision is required for forming binocular neurons and improving their tuning before the classical critical period.

The paper shows vision transforms unstable binocular circuitry into a network of highly tuned complex feature detectors in layer 2/3 of the cortex.

The paper identifies multiple functional clusters of neurons in layer 6 of macaque V1 based on their response to visual stimuli, revealing distinct sub-populations with different visual properties.

The paper uses a geometric model to analyze how neural populations in primary visual cortex represent orientation with and without an additive mask, showing how discriminability and bias change.

The paper tests subspace invariance in mouse primary visual cortex and finds robust violations, suggesting nonlinearities in population coding.

The paper benchmarks spike rate inference algorithms for two-photon calcium imaging data and finds that top-performing algorithms show high correlation despite diverse approaches.

The paper introduces an active learning method to infer sparse cortical connectivity from two-photon imaging data, showing it improves inference speed and provides confidence intervals.

The paper shows that neuron tuning similarity in mouse visual cortex correlates with receptive field overlap rather than cortical distance, supporting salt-and-pepper map formation from clonally related neurons.