PMID- 34343777
OWN - NLM
STAT- MEDLINE
DCOM- 20211124
LR  - 20211124
IS  - 1879-2782 (Electronic)
IS  - 0893-6080 (Linking)
VI  - 143
DP  - 2021 Nov
TI  - Bidirectional interaction between visual and motor generative models using 
      Predictive Coding and Active Inference.
PG  - 638-656
LID - S0893-6080(21)00279-3 [pii]
LID - 10.1016/j.neunet.2021.07.016 [doi]
AB  - In this work, we build upon the Active Inference (AIF) and Predictive Coding (PC) 
      frameworks to propose a neural architecture comprising a generative model for 
      sensory prediction, and a distinct generative model for motor trajectories. We 
      highlight how sequences of sensory predictions can act as rails guiding learning, 
      control and online adaptation of motor trajectories. We furthermore inquire the 
      effects of bidirectional interactions between the motor and the visual modules. 
      The architecture is tested on the control of a simulated robotic arm learning to 
      reproduce handwritten letters.
CI  - Copyright (c) 2021. Published by Elsevier Ltd.
FAU - Annabi, Louis
AU  - Annabi L
AD  - ETIS UMR 8051, CY University, ENSEA, CNRS, France. Electronic address: 
      louis.annabi@ensea.fr.
FAU - Pitti, Alexandre
AU  - Pitti A
AD  - ETIS UMR 8051, CY University, ENSEA, CNRS, France. Electronic address: 
      alexandre.pitti@ensea.fr.
FAU - Quoy, Mathias
AU  - Quoy M
AD  - ETIS UMR 8051, CY University, ENSEA, CNRS, France. Electronic address: 
      mathias.quoy@ensea.fr.
LA  - eng
PT  - Journal Article
DEP - 20210724
PL  - United States
TA  - Neural Netw
JT  - Neural networks : the official journal of the International Neural Network 
      Society
JID - 8805018
SB  - IM
MH  - *Learning
OTO - NOTNLM
OT  - Active inference
OT  - Developmental robotics
OT  - Embodiment
OT  - Predictive coding
OT  - Visuo-motor control
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2021/08/04 06:00
MHDA- 2021/11/25 06:00
CRDT- 2021/08/03 20:18
PHST- 2021/01/31 00:00 [received]
PHST- 2021/07/09 00:00 [revised]
PHST- 2021/07/12 00:00 [accepted]
PHST- 2021/08/04 06:00 [pubmed]
PHST- 2021/11/25 06:00 [medline]
PHST- 2021/08/03 20:18 [entrez]
AID - S0893-6080(21)00279-3 [pii]
AID - 10.1016/j.neunet.2021.07.016 [doi]
PST - ppublish
SO  - Neural Netw. 2021 Nov;143:638-656. doi: 10.1016/j.neunet.2021.07.016. Epub 2021 
      Jul 24.