William R. Stauffer

The paper introduces CTACIT to fine-map neuropsychiatric regulatory variants by integrating conservation scores with cell type-specific open chromatin data across species.

The paper develops a new AAV engineering workflow, scAAVengr-Hunt, to create potent vectors and identifies a structural mechanism underlying their broad species and tissue potency.

This study trains CNNs to predict chromatin accessibility across species but finds poor performance in predicting quantitative differences between species.

This study identifies neural correlates of combinatorial reasoning in rhesus macaques by analyzing single-unit activity in the dorsolateral prefrontal cortex during decision-making tasks.

This study shows rhesus macaques exhibit ambiguity aversion due to inconsistent probability estimates, being overly pessimistic for large rewards and overly optimistic for small ones.

The paper builds a multimodal atlas of medium spiny neurons in the primate striatum, identifying new subtypes and linking them to disease associations.

The paper develops a platform combining machine learning and multiplexed in situ screening to identify enhancers with cell-type and behavioral specificity for neural circuit engineering.

The paper identifies cell type-specific enhancers for the DLPFC in NHPs using single nucleus RNA-Seq and ATAC-Seq, validates them with AAV injections, and demonstrates functional expression in specific neuron types.

This paper introduces SISTM to map 3D synaptic nanoarchitecture in brain tissue across species using cryo-ET and STA, revealing conserved structural features in human postmortem tissue.

This study reduces neuronal excitability in monkey prefrontal cortex using Kir2.1 channels and finds decreased excitatory synaptic strength without affecting inhibitory inputs.

The paper introduces an open-source, 3D-printable MRI-compatible stereotaxic frame for nonhuman primates, enabling accurate multimodal presurgical mapping and deep-brain interventions.

The paper introduces SNAIL, a virus-based method using machine learning to design cell type-specific enhancer probes for targeted nuclear isolation and characterization.

The paper compares open chromatin regions in motor cortex subdivisions across primates and rodents to identify gene regulatory programs involved in the evolution of fine motor skills.

This study identifies molecularly distinct medium spiny neuron types in the primate striatum, revealing new subtypes associated with specific anatomical compartments and functional roles.

This study shows that dopamine responses encode probability distributions of reward prediction errors, with rare rewards amplifying these responses and enhancing learning and arousal.