Kwangjun Lee

The paper introduces a computational model integrating cortical and subcortical processing to better replicate brain behavior in decision-making tasks.

The paper presents a computational model of predictive coding in the cortex that incorporates biologically plausible neuron types and connectivity, showing how they generate oscillatory patterns and handle prediction errors.

This paper develops a spiking neural network for predictive coding that generates hierarchical internal representations and reconstructs unseen data, suggesting biologically plausible mechanisms for perceptual inference.