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Found 5 papers, 2 papers with code
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
Legged robots are popular candidates for missions in challenging terrains due to the wide variety of locomotion strategies they can employ.
Towards hybrid primary intersubjectivity: a neural robotics library for human science
Human-robot interaction is becoming an interesting area of research in cognitive science, notably, for the study of social cognition.
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition
The model introduces a weighting parameter, the meta-prior, to balance the optimization pressure placed on two terms of a lower bound on the marginal likelihood of the sequential data.
Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model
We examined how this weighting can affect development of different types of information processing while learning fluctuated temporal patterns.
Predictive Coding-based Deep Dynamic Neural Network for Visuomotor Learning
This study presents a dynamic neural network model based on the predictive coding framework for perceiving and predicting the dynamic visuo-proprioceptive patterns.
