Author

M. Verhelst

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Aug 2026

StaticBAC: Fast and Memory-Efficient Entropy Coding for Neural Network Compression

The rapid growth in neural network model size has increased the need for efficient compression techniques, particularly for edge and resource-constrained environments. While quantization reduces model size, entropy coding can further compress already quantized parameters. State-of-the-art methods such as DeepCABAC achi...

J. S. Gomes, M. Verhelst, Fábio Luís Livi Ramos et al. · Symposium on Integrated Circ... · 0 citations

Jul 2026

A 128-Channel Level-Crossing-Based Neural Digitization and Spike Sorting SoC With Compact Spatiotemporal Feature Extraction.

High-density neural interfaces require power-efficient acquisition and on-chip processing for low-latency closed-loop operation. While level-crossing ADCs (LC-ADCs) offer efficient front-end acquisition, their integration with large-scale on-chip spike-sorting remains unexplored. In addition, existing on-chip spike sor...

Yunzhu Chen, Xiaonan Xing, Xiaolin Yang et al. · IEEE Transactions on Biomedi... · 0 citations