Viktor Janos Oláh

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 develops an automated classifier to identify sleep-wake states and seizures in mice, achieving high accuracy across different datasets.

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

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.

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

The paper models the effects of recording instruments on axonal voltage measurements and shows how instrumentation distorts signals, offering a method to predict native waveforms from distorted recordings.