A Model of Cerebellar Computations for Dynamical State Estimation

@article{Paulin2001AMO,
  title={A Model of Cerebellar Computations for Dynamical State Estimation},
  author={Michael G. Paulin and Larry F. Hoffman and Christopher Assad},
  journal={Autonomous robots},
  year={2001},
  volume={11 3},
  pages={279-84}
}
The cerebellum is a neural structure that is essential for agility in vertebrate movements. Its contribution to motor control appears to be due to a fundamental role in dynamical state estimation, which also underlies its role in various non-motor tasks. Single spikes in vestibular sensory neurons carry information about head state. We show how computations for optimal dynamical state estimation may be accomplished when signals are encoded in spikes. This provides a novel way to design… CONTINUE READING

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