Shude Zhu

The paper identifies a modular neural circuit in macaque visual cortex that computes object motion by integrating component edge signals into pattern motion representations.

This paper introduces a live spike sorting system that achieves performance comparable to offline sorting and enables closed-loop interventions in neural recordings.

The paper shows that ensembles of visual cortical neurons encode information about hidden objects through coordinated activity, even when single neuron firing rates do not.

The paper shows that in macaque V1, border ownership modulation depends on interlaminar signal flow, with stronger modulation when feedback/horizontal layers contribute more to input layers.

The paper introduces Neuropixels 1.0-NHP, a high-density electrode array for large-scale neural recording in nonhuman primates, enabling recording from over 3000 single neurons.

The paper uses high-density Neuropixels recordings and machine learning to identify cell classes in monkey V1 and demonstrate structural-function relationships in the microcircuit.

The paper shows that mnemonic information alternates between On and Off periods in prefrontal neurons during memory delays, coexisting with activity-silent mechanisms.

The paper shows that action space reshapes visual working memory in macaque prefrontal cortex, with neuronal activity predicting future behavior and exhibiting linear selectivity relative to action space.

The paper uses high-density recordings to analyze functional connections between neurons in macaque V1, revealing systematic variations in connection strength and synchrony based on vertical distance and stimulus tuning.

This study shows that V1 neurons in macaques rapidly and strongly respond to natural images across all cortical layers within 60 ms of stimulus onset.

The paper uses high-density recordings to show that layer 4C neurons in primate V1 provide better orientation discrimination than other layers within the same cortical column.