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cs.LG2025
Vector Quantization in the Brain: Grid-like Codes in World Models
Xiangyuan Peng, Xingsi Dong, Si Wu
We propose Grid-like Code Quantization (GCQ), a brain-inspired method for compressing observation-action sequences into discrete representations using grid-like patterns in attract…
cs.LG2025
Predictive Learning in Energy-based Models with Attractor Structures
Xingsi Dong, Xiangyuan Peng, Si Wu
Predictive models are highly advanced in understanding the mechanisms of brain function. Recent advances in machine learning further underscore the power of prediction for optimal…