Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip Learning

Janak Sharda, Nilabjo Dey, Ankesh Jain, Debanjan Bhowmik. Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip Learning. In Thomas E. Potok, Catherine D. Schuman, editors, Proceedings of the International Conference on Neuromorphic Systems, ICONS 2020, Oak Ridge, Tennessee, USA, July, 2020. ACM, 2020. [doi]

@inproceedings{ShardaDJB20,
  title = {Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip Learning},
  author = {Janak Sharda and Nilabjo Dey and Ankesh Jain and Debanjan Bhowmik},
  year = {2020},
  doi = {10.1145/3407197.3407215},
  url = {https://doi.org/10.1145/3407197.3407215},
  researchr = {https://researchr.org/publication/ShardaDJB20},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the International Conference on Neuromorphic Systems, ICONS 2020, Oak Ridge, Tennessee, USA, July, 2020},
  editor = {Thomas E. Potok and Catherine D. Schuman},
  publisher = {ACM},
  isbn = {978-1-4503-8851-1},
}