Alon Poleg-Polsky

This paper uses machine learning to discover new computational principles for motion detection in neural circuits, uncovering novel architectures that improve upon classical models.

The paper maps the spatial distribution of mouse retinal ganglion cell subtypes and identifies gene expression specializations in specific regions.

This study shows that partial oligodendrocyte restoration after demyelination is sufficient to recover visual cortical function in mice.

The paper investigates how saccades modulate visual representations in the mouse superior colliculus, finding both sensory and motor contributions to this modulation.

This paper introduces GraSP and CuttleNet for retinal cell classification, reducing gene targets from over 18k to 300 and improving handling of missing data in single-cell RNA sequencing.

This study uses three-photon imaging to show that white matter generates more oligodendrocytes than gray matter, but gray matter shows faster growth rates and regenerative deficits after injury.

This study investigates how presynaptic kinetics contribute to directional tuning in starburst amacrine cells using computational models and experimental data.

The paper shows that learning induces dynamic changes in myelination on specific axons, altering conduction speed and correlating with behavioral improvement.

This study investigates how center-surround receptive field interactions in retinal bipolar cells contribute to motion processing by detecting novel objects and encoding motion through altered signal dynamics.

The paper identifies dendritic spikes as a mechanism for noise tolerance in neurons, expanding the range of noise structures that can be reliably processed by neuronal populations.

This study shows that NMDA spikes in piriform cortex pyramidal neurons amplify and selectively combine olfactory bulb inputs, explaining nonlinear odor code transformation.