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C. Justin Lee

2 accepted papers

2025

Brain-inspired $L_p$-Convolution benefits large kernels and aligns better with visual cortex

ICLR 2025poster

Convolutional Neural Networks (CNNs) have profoundly influenced the field of computer vision, drawing significant inspiration from the visual processing mechanisms inherent in the brain. Despite sharing fundamental structural and representational similarities with the biological visual system, diffe…

Cited by 0SourcePDFScholar
2023

Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity

NeurIPS 2023poster

The hippocampus plays a critical role in learning, memory, and spatial representation, processes that depend on the NMDA receptor (NMDAR). Inspired by recent findings that compare deep learning models to the hippocampus, we propose a new nonlinear activation function that mimics NMDAR dynamics. NMDA…

Cited by 4SourcePDFScholar