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An FPGA based scalable architecture of a stochastic state point process filter (SSPPF) to track the nonlinear dynamics underlying neural spiking.

Yao XinWill X. Y. LiRay C. C. CheungRosa H. M. ChanHong YanDong SongTheodore W. Berger
Published in: Microelectron. J. (2014)
Keyphrases
  • nonlinear dynamics
  • network architecture
  • bio inspired
  • associative memory
  • state transition
  • machine learning
  • hardware architecture
  • neuron model
  • hardware architectures