VLSI Implementations of Learning and Memory Systems: A Review

Abstract

A large number of VLSI implementations of neural network models have been reported. The diversity of these implementations is noteworthy. This paper attempts to put a group of representative VLSI implementations in perspective by comparing and contrast(cid:173) ing them. Design trade-offs are discussed and some suggestions forthe direction of future implementation efforts are made.

Cite

Text

Holler. "VLSI Implementations of Learning and Memory Systems: A Review." Neural Information Processing Systems, 1990.

Markdown

[Holler. "VLSI Implementations of Learning and Memory Systems: A Review." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/holler1990neurips-vlsi/)

BibTeX

@inproceedings{holler1990neurips-vlsi,
  title     = {{VLSI Implementations of Learning and Memory Systems: A Review}},
  author    = {Holler, Mark A.},
  booktitle = {Neural Information Processing Systems},
  year      = {1990},
  pages     = {993-1000},
  url       = {https://mlanthology.org/neurips/1990/holler1990neurips-vlsi/}
}