Xueyan Niu

This paper develops a computational model of recurrent cortical circuits that explain familiarity suppression in the visual system and show how it enhances robust encoding of familiar stimuli.

This paper proposes a spiking neural circuit model that explains the emergence of congruent and opposite neurons in multi-sensory integration and suggests it may be a canonical circuit in cortical areas.

The paper introduces a model where congruent and opposite neurons emerge through Hebbian and anti-Hebbian learning rules, reproducing experimentally observed tuning properties in multisensory integration.