Sang‐Yoon Kim

Functions of Direct and Indirect Pathways for Action Selection Are Quantitatively Analyzed in A Spiking Neural Network of The Basal Ganglia

The paper quantitatively analyzes the roles of direct and indirect pathways in action selection within a spiking neural network model of the basal ganglia.

Dynamical Origin for Winner-Take-All Competition in A Biological Network of The Hippocampal Dentate Gyrus

The paper investigates the dynamical origin of winner-take-all competition in hippocampal dentate gyrus granule cells, showing how external inputs and feedback inhibition lead to sparse activation.

Influence of Various Temporal Recoding on Pavlovian Eyeblink Conditioning in The Cerebellum

The paper investigates how different temporal recoding of granule cells in the cerebellum affects Pavlovian eyeblink conditioning, finding that greater temporal diversity enhances learning efficiency.

Effect of Diverse Recoding of Granule Cells on Optokinetic Response in A Cerebellar Ring Network with Synaptic Plasticity

The paper investigates how diverse spiking patterns of granule cells in a cerebellar network affect optokinetic response adaptation through synaptic plasticity.

Connecting Histopathology Imaging and Proteomics in Kidney Cancer through Machine Learning

The paper uses machine learning to connect proteomics data with histopathology images in kidney cancer, finding correlations between proteins and imaging-based predictions.

Dr.Paso: Drug response prediction and analysis system for oncology research

The paper introduces a drug sensitivity prediction system using a 47-gene expression profile derived from transcriptomic analysis, validated with independent datasets and showing high concordance with observed drug responses.