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)

Neuromimetic metaplasticity for adaptive continual learning. - Suhee Cho; Hyeonsu Lee; Seungdae Baek; 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)