Shanshan Qin

This study uses flexible electrodes to track and model representational drift in mouse visual cortex, enabling a stable decoder for brain-machine interfaces.

The paper studies how C. elegans chemosensory neurons encode olfactory information through ensemble activity and natural stimuli.

The paper investigates representational drift in neural networks, showing that noisy synaptic updates cause coordinated random walks in receptive fields while maintaining population code stability.

The paper develops a circuit model of olfactory processing in Drosophila that incorporates short-term plasticity and presynaptic inhibition to explain divisive normalization and adaptation in PN responses.

This study shows how food deprivation alters olfactory behavior in Drosophila larvae by changing neural processing in the antennal lobe through state-dependent circuit dynamics.

The paper shows that the optimal odor-receptor interaction network is sparse and follows a log-normal distribution, enhancing decoding accuracy in olfactory systems.