Ján Antolík

This paper improves visual prosthetics by incorporating orientation selectivity with retinotopy to better match natural neural responses in the visual cortex.

The paper uses simulations to show dendrites sharpen optogenetic responses in cortex, improving spatial fidelity of stimulation.

The paper investigates spatial integration in V1 neurons, finding sublinear summation in supragranular complex cells and near-linear in infragranular complex cells and simple cells.

The paper shows how iso-orientation biased long-range connectivity in V1 layer 2/3 explains diverse cortical dynamics, including spontaneous activity and optogenetic responses.

This study shows that optogenetic stimulation activates cortical neurons in a morphology-dependent manner, with lateral spread influenced by neuronal layer and stimulation intensity.

The paper presents a comprehensive spiking model of cat primary visual cortex constrained by anatomical and functional data, showing it matches experimental statistics and generates realistic neural activity.

The paper uses CNNs to analyze contextual modulation in visual cortex by synthesizing surround patterns, finding that pattern completion enhances responses while disruption suppresses them, consistent across mice and macaques.

The paper develops a spiking model of the cortico-thalamic loop to explain competitive interactions in visual processing and validates it against experimental data.

This study uses large-scale spiking neural networks to simulate cortical optogenetic stimulation and develops a protocol for translating visual stimuli into light activation patterns for vision restoration.