A robust and compact 65 nm LIF analog neuron for computational purposes

  title={A robust and compact 65 nm LIF analog neuron for computational purposes},
  author={Antoine Joubert and Bilel Belhadj and Rodolphe Heliot},
  journal={2011 IEEE 9th International New Circuits and systems conference},
Due to upcoming power and robustness issues related to decananometer silicon technologies, neuromorphic architectures are increasingly meaningful to perform computation on some specific classes of applications such as signal processing. Such architectures require low-power, compact, and robust hardware spiking neurons. We propose an analog implementation in CMOS 65 nm process of a Leaky Integrate-and-Fire Neuron that fulfills all of these requirements. Results show that neuron area is (100 /μm2… CONTINUE READING
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  • R. Heliot, A. Joubert, O. Temam
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  • M. Muller
  • Designing with ARM, EE Times Virtual Conference…
  • 2010
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  • P. M. Figueiredo, J. C. Vital
  • 2009
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