Stephen J Smith

Data-driven synapse classification reveals a logic of glutamate receptor diversity

The paper uses proteometric imaging to classify synapses by glutamate receptor subunits, finding subclasses linked to synaptic plasticity and dendritic coupling.

Developing a Toolbox of Antibodies Validated for Array Tomography-Based Imaging of Brain Synapses

The paper develops a screening strategy and database of antibodies validated for array tomography-based imaging of brain synapses, improving antibody selection for this technique.

A Scalable and Modular Automated Pipeline for Stitching of Large Electron Microscopy Datasets

The paper presents a scalable pipeline for assembling large electron microscopy datasets into 3D volumes, achieving high throughput and modular design for efficient processing.

A solution to temporal credit assignment using cell-type-specific modulatory signals

This paper proposes a learning rule for recurrent spiking neural networks that incorporates cell-type-specific modulatory signals to improve temporal credit assignment.

Single-Cell Transcriptomic Evidence for Dense Intracortical Neuropeptide Networks

The paper analyzes single-cell RNA-seq data from mouse neocortical neurons to identify widespread neuropeptide signaling networks across all cortical neurons.

Myelinated inhibitory axons in human neocortex

The paper confirms the presence of myelinated inhibitory axons in all layers of human neocortex, similar to findings in mice, and identifies their distinctive features and potential implications for neurological disorders.

A Computational Synaptic Antibody Characterization and Screening Framework for Array Tomography

The paper introduces a framework for characterizing and screening antibodies against synaptic molecules for array tomography, providing objective metrics to evaluate antibody performance.