25 citations · 40 across the 9 of their papers we have counts for
9 papers
Anti-aliasing Predictive Coding Network for Future Video Frame Prediction
Chaofan Ling, Weihua Li, Junpei Zhong
We introduce here a predictive coding based model that aims to generate accurate and sharp future frames. Inspired by the predictive coding hypothesis and related works, the total…
Predictive Coding Based Multiscale Network with Encoder-Decoder LSTM for Video Prediction
Chaofan Ling, Junpei Zhong, Weihua Li
We present a multi-scale predictive coding model for future video frames prediction. Drawing inspiration on the ``Predictive Coding" theories in cognitive science, it is updated by…
Pyramidal Predictive Network: A Model for Visual-frame Prediction Based on Predictive Coding Theory
Chaofan Ling, Junpei Zhong, Weihua Li
Visual-frame prediction is a pixel-dense prediction task that infers future frames from past frames. Lacking of appearance details, low prediction accuracy and high computational o…
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives
Junpei Zhong, Angelo Cangelosi, Stefan Wermter
The acquisition of symbolic and linguistic representations of sensorimotor behavior is a cognitive process performed by an agent when it is executing and/or observing own and other…
Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi
Studies suggest that within the hierarchical architecture, the topological higher level possibly represents a conscious category of the current sensory events with slower changing…
AFA-PredNet: The action modulation within predictive coding
Junpei Zhong, Angelo Cangelosi, Xinzheng Zhang +1
The predictive processing (PP) hypothesizes that the predictive inference of our sensorimotor system is encoded implicitly in the regularities between perception and action. We pro…
Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models
Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata
The abstraction tasks are challenging for multi- modal sequences as they require a deeper semantic understanding and a novel text generation for the data. Although the recurrent ne…
A Hierarchical Emotion Regulated Sensorimotor Model: Case Studies
Junpei Zhong, Rony Novianto, Mingjun Dai +2
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…
Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs
Junpei Zhong, Martin Peniak, Jun Tani +2
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 se…