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A scalable implementation of the recursive least-squares algorithm for training spiking neural networks.

Arthur J. BenjaminChristopher M. KimSusu ChenStephan PreibischRan Darshan
Published in: Frontiers Neuroinformatics (2023)
Keyphrases
  • recursive least squares
  • learning algorithm
  • convergence rate
  • training process
  • particle swarm optimization
  • neuro fuzzy
  • kalman filtering
  • spiking neural networks