A 55nm time-domain mixed-signal neuromorphic accelerator with stochastic synapses and embedded reinforcement learning for autonomous micro-robots

Anvesha Amaravati, Saad Bin Nasir, Sivaram Thangadurai, Insik Yoon, Arijit Raychowdhury. A 55nm time-domain mixed-signal neuromorphic accelerator with stochastic synapses and embedded reinforcement learning for autonomous micro-robots. In 2018 IEEE International Solid-State Circuits Conference, ISSCC 2018, San Francisco, CA, USA, February 11-15, 2018. pages 124-126, IEEE, 2018. [doi]

@inproceedings{AmaravatiNTYR18,
  title = {A 55nm time-domain mixed-signal neuromorphic accelerator with stochastic synapses and embedded reinforcement learning for autonomous micro-robots},
  author = {Anvesha Amaravati and Saad Bin Nasir and Sivaram Thangadurai and Insik Yoon and Arijit Raychowdhury},
  year = {2018},
  doi = {10.1109/ISSCC.2018.8310215},
  url = {https://doi.org/10.1109/ISSCC.2018.8310215},
  researchr = {https://researchr.org/publication/AmaravatiNTYR18},
  cites = {0},
  citedby = {0},
  pages = {124-126},
  booktitle = {2018 IEEE International Solid-State Circuits Conference, ISSCC 2018, San Francisco, CA, USA, February 11-15, 2018},
  publisher = {IEEE},
  isbn = {978-1-5090-4940-0},
}