Spontaneous Local Gamma Oscillation Selectively Enhances Neural Network Responsiveness. - Se-Bum Paik; Tribhawan Kumar; Donald A. Glaser (PLoS Comput. Biol., 2009)

Synaptic Plasticity Controls Sensory Responses through Frequency-Dependent Gamma Oscillation Resonance. - Se-Bum Paik; Donald A. Glaser (PLoS Comput. Biol., 2010)

Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks. - Pachaya Sailamul; Jaeson Jang; Se-Bum Paik (J. Comput. Neurosci., 2017)

Distinct role of flexible and stable encodings in sequential working memory. - Hyeonsu Lee; Woo-Chul Choi; Youngjin Park; Se-Bum Paik (Neural Networks, 2020)

Periodic clustering of simple and complex cells in visual cortex. - Gwangsu Kim; Jaeson Jang; Se-Bum Paik (Neural Networks, 2021)

A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks. - Youngjin Park; Seungdae Baek; Se-Bum Paik (Neural Networks, 2021)

Invariance of object detection in untrained deep neural networks. - Jeonghwan Cheon; Seungdae Baek; Se-Bum Paik (Frontiers Comput. Neurosci., 2022)

Species-specific wiring of cortical circuits for small-world networks in the primary visual cortex. - Seungdae Baek; Youngjin Park; Se-Bum Paik (PLoS Comput. Biol., 2023)

Pretraining with Random Noise for Fast and Robust Learning without Weight Transport. - Jeonghwan Cheon; Sang Wan Lee; Se-Bum Paik (NeurIPS, 2024)

Neuromimetic metaplasticity for adaptive continual learning. - Suhee Cho; Hyeonsu Lee; Seungdae Baek; Se-Bum Paik (CoRR, 2024)

Pretraining with random noise for uncertainty calibration. - Jeonghwan Cheon; Se-Bum Paik (CoRR, 2024)

Neuromimetic metaplasticity for adaptive continual learning without catastrophic forgetting. - Suhee Cho; Hyeonsu Lee; Seungdae Baek; Se-Bum Paik (Neural Networks, 2025)

One-Time Soft Alignment Enables Resilient Learning without Weight Transport. - Jeonghwan Cheon; Jaehyuk Bae; Se-Bum Paik (CoRR, 2025)