John H. Byrne

The paper examines the long-term dynamics of cognitive kinases in response to different learning protocols in Aplysia, finding distinct activation patterns and molecular interactions.

This study shows that a computationally designed training protocol with irregular intervals enhances associative learning in rats by improving fear memory retrieval and extinction.

This study investigates MeCP2's role in long-term synaptic plasticity using Aplysia sensorimotor synapses, finding it inhibits gene expression needed for plasticity formation and maintenance.

The paper investigates ERK activation dynamics after different LTF-inducing protocols in Aplysia and finds that the Enhanced protocol leads to prolonged ERK activity compared to others.

The paper develops a computational model to study memory consolidation dynamics in adult and infant rats, revealing critical roles of CaMKIIα and MeCP2 in memory stability and forgetting.

The paper shows that combining PKA and MAPK pathway activators rescues synaptic plasticity deficits in a CLS model by synergistically restoring RSK phosphorylation and LTF.

The paper investigates how inhibitory currents constrain plateau potentials in neurons by comparing three Aplysia neurons with different bursting behaviors.

The paper identifies a low-dimensional signature of operant learning through neuronal population activity dynamics in Aplysia feeding.

The paper identifies specific plasticity loci and their synergistic interactions in operant conditioning in Aplysia, showing how these changes mediate behavioral adaptations.

This study adapts a functional neurocartography framework to Aplysia buccal ganglia to improve neuron correspondence across subjects using unsupervised machine learning.

The paper uses computational models to compare kinase feedback pathways and synaptic reactivation in maintaining long-term memory and LTP.