Sang-Yoon Kim

This paper quantifies excitation-inhibition balance in a spiking neural network model of hippocampal CA1, showing how disruptions in this balance lead to epileptogenic state transitions.

The paper investigates how immature granule cells affect sparsely synchronized rhythms in the hippocampal dentate gyrus by analyzing their excitability and connectivity.

The paper studies how disynaptic inhibition from mossy cells and disinhibition from HIPP cells affect pattern separation in a spiking neural network of the hippocampal dentate gyrus.

The paper investigates how interpopulation spike-timing-dependent plasticity (STDP) affects synchronized rhythms in a two-population neuronal network with inhibitory and excitatory cells.

The paper studies burst synchronization in a scale-free network of inhibitory neurons, showing transitions between desynchronization, 3-cluster synchronization, and reintegration as coupling strength increases.

The paper investigates burst synchronization in a scale-free neuronal network with inhibitory spike-timing-dependent plasticity, finding a Matthew effect where good synchronization improves via LTD and bad synchronization worsens via LTP.

The paper investigates how inhibitory spike-timing-dependent plasticity (iSTDP) affects fast sparse synchronization in a small-world neuronal network with inhibitory interneurons.