Thuyanh V. Nguyen

The paper shows that cortical pyramidal neurons exhibit distinct unexpected event signals in somata and distal apical dendrites that change over days, suggesting a role in hierarchical computation.

The paper shows that visual areas differentially encode temporal context and expectation in natural scenes, with representational drift observed in lower areas but not higher ones.

The paper maps brain-wide monosynaptic inputs to specific neuron classes in mouse visual cortex using an improved rabies virus tracing strategy and identifies connectivity patterns within and between visual areas.

The paper investigates how a standardized non-visual motor behavior is represented in visual cortex areas and finds it elicits consistent neural responses independent of visual processing.

The paper measures stimulus-evoked neurophysiological differentiation in mouse visual cortex neurons across layers and areas, finding greater differentiation in specific layers and areas for unscrambled stimuli.

The paper presents a large-scale dataset of neural activity in the mouse visual cortex and shows that responses to different stimuli are largely independent, suggesting multi-layer hierarchical computation.

The paper shows VIP interneurons in mouse visual cortex have complementary contrast tuning to SST neurons and synergistically respond to visual motion and locomotion, enhancing behaviorally-relevant stimuli while maintaining network stability.

The paper reports aberrant cortical activity and fluorescence events in some GCaMP6-expressing transgenic mice, suggesting potential artifacts in neuronal recordings.