Search Results for author:
Found 9 papers, 3 papers with code
Anti-aliasing Predictive Coding Network for Future Video Frame Prediction
Inspired by the predictive coding hypothesis and related works, the total model is updated through a combination of bottom-up and top-down information flows, which can enhance the interaction between different network levels.
Predictive Coding Based Multiscale Network with Encoder-Decoder LSTM for Video Prediction
We present a multi-scale predictive coding model for future video frames prediction.
Pyramidal Predictive Network: A Model for Visual-frame Prediction Based on Predictive Coding Theory
The update frequency of neural units on each of the layer decreases with the increasing of network levels, which results in neurons of higher-level can capture information in longer time dimensions.
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives
During the learning process of observing sensorimotor primitives, i. e. observing a set of trajectories of arm movements and its oriented object features, the pre-symbolic representation is self-organized in the parametric units.
Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
On the other hand, the incoming sensory information corrects such prediction of the events on the higher level by the novel or surprising signal.
AFA-PredNet: The action modulation within predictive coding
The predictive processing (PP) hypothesizes that the predictive inference of our sensorimotor system is encoded implicitly in the regularities between perception and action.
Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models
This was done by conducting two studies based on a smaller data- set (two-dimension time sequences from non-linear functions) and a relatively large data-set (43-dimension time sequences from iCub manipulation tasks with multi-modal data).
Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs
The paper presents a neurorobotics cognitive model to explain the understanding and generalisation of nouns and verbs combinations when a vocal command consisting of a verb-noun sentence is provided to a humanoid robot.
A Hierarchical Emotion Regulated Sensorimotor Model: Case Studies
Inspired by the hierarchical cognitive architecture and the perception-action model (PAM), we propose that the internal status acts as a kind of common-coding representation which affects, mediates and even regulates the sensorimotor behaviours.
