John Hongyu Meng

The paper introduces a three-factor learning rule to model how global signals guide local synaptic updates for mismatch computation in sensory areas.

The paper introduces a predictive coding model that explains neural responses to deviant stimuli across different paradigms and supports findings in mice.

The paper identifies four distinct VIP interneuron populations in the neocortex with unique connectivity and responses to neuromodulation, showing specialized roles in cortical circuit regulation.

The paper investigates whether transcriptomic profiles can predict neuronal firing-rate adaptation across brain regions and species using Patch-seq data.

The paper identifies a fourth major group of cortical inhibitory neurons, Id2 GABAergic interneurons, characterized by neurogliaform cells and distinct electrophysiological properties.

The paper systematically examines the electrophysiological features of four L1 interneuron subtypes in mice and builds computational models to explain their firing patterns.

The paper presents a computational model of structural plasticity in the olfactory bulb that explains odor-specific subnetwork formation and differential learning effects during odor exposure.

The paper shows that odor experience correlates individual GC activity with spine stability, driven by MC activity, and models how this supports odor discrimination and memory.

The paper presents a Hebbian-type model of structural synaptic plasticity in the olfactory bulb that explains how learning enhances discriminability of similar stimuli while reducing that of dissimilar ones.