A 55-nm, 1.0-0.4V, 1.25-pJ/MAC Time-Domain Mixed-Signal Neuromorphic Accelerator With Stochastic Synapses for Reinforcement Learning in Autonomous Mobile Robots

Anvesha Amaravati, Saad Bin Nasir, Justin Ting, Insik Yoon, Arijit Raychowdhury. A 55-nm, 1.0-0.4V, 1.25-pJ/MAC Time-Domain Mixed-Signal Neuromorphic Accelerator With Stochastic Synapses for Reinforcement Learning in Autonomous Mobile Robots. J. Solid-State Circuits, 54(1):75-87, 2019. [doi]

@article{AmaravatiNTYR19,
  title = {A 55-nm, 1.0-0.4V, 1.25-pJ/MAC Time-Domain Mixed-Signal Neuromorphic Accelerator With Stochastic Synapses for Reinforcement Learning in Autonomous Mobile Robots},
  author = {Anvesha Amaravati and Saad Bin Nasir and Justin Ting and Insik Yoon and Arijit Raychowdhury},
  year = {2019},
  doi = {10.1109/JSSC.2018.2881288},
  url = {https://doi.org/10.1109/JSSC.2018.2881288},
  researchr = {https://researchr.org/publication/AmaravatiNTYR19},
  cites = {0},
  citedby = {0},
  journal = {J. Solid-State Circuits},
  volume = {54},
  number = {1},
  pages = {75-87},
}