Mingyi Huang

This paper establishes a theoretical framework linking neural response sparsity and variability to energy-efficient coding, showing they are intrinsically correlated and optimized for information encoding.

This study introduces a self-evolving spiking neural network that forms pinwheel structures, showing improved visual coding efficiency and reliability through sparse coding and synaptic plasticity.