A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition

  title={A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition},
  author={Ahmadreza Ahmadi and Jun Tani},
  journal={Neural Computation},
This study introduces PV-RNN, a novel variational RNN inspired by predictive-coding ideas. The model learns to extract the probabilistic structures hidden in fluctuating temporal patterns by dynamically changing the stochasticity of its latent states. Its architecture attempts to address two major concerns of variational Bayes RNNs: how latent variables can learn meaningful representations and how the inference model can transfer future observations to the latent variables. PV-RNN does both by… 
Balancing Active Inference and Active Learning with Deep Variational Predictive Coding for EEG
  • André Ofner, S. Stober
  • Computer Science
    2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
  • 2020
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