Matthew JM Rowan

The paper develops a non-invasive method to specifically target fast-spiking basket cell interneurons in the mouse hippocampus using enhancer-AAV delivery.

The paper identifies enhancer-AAV tools for specific neuronal subtypes and validates them across species.

The paper examines how Alzheimer's pathology affects PV interneurons and excitatory neurons in different brain regions of hAPP-KI mice, finding regional differences in neuronal excitability.

The paper introduces a method called patch-walking to improve the efficiency of finding synaptic connections by reusing a single patch clamp electrode, resulting in more connections probed per experiment.

This study identifies entorhinal cortex PV interneuron vulnerability to hAPP as a driver of hyperexcitability and tau pathology in Alzheimer's Disease.

The paper shows that HCN channels in L2/3 pyramidal neurons gate NMDA receptor recruitment at thalamic synapses but not cortical synapses, with developmental and neuromodulatory influences.

The paper identifies and validates an enhancer-AAV for selectively targeting dentate granule cells in the hippocampus using RNAseq data.

The paper develops an artificial neural network to simulate biophysically realistic neurons efficiently, enabling faster circuit modeling and parameter-space exploration.

This study shows reducing Kv3.4 levels in a mouse model of Alzheimer's disease reduces synapse loss and changes in spine morphology.

The paper shows that mitochondrial proteostasis genes in a neurodevelopmental syndrome locus are essential for synapse function and behavior in Drosophila.