Spatial Concept Learning: A Spiking Neural Network Implementation in Virtual and Physical Robots

被引：2
|
作者：
Cyr, Andre [1 ]
Theriault, Frederic [2 ]
机构：
[1] Univ Ottawa, Sch Psychol, Ottawa, ON, Canada
[2] Cegep Vieux Montreal, Dept Comp Sci, Montreal, PQ, Canada
来源：
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE | 2019年 / 2019卷
关键词：
D O I：
10.1155/2019/8361369
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This paper proposes an artificial spiking neural network (SNN) sustaining the cognitive abstract process of spatial concept learning, embedded in virtual and real robots. Based on an operant conditioning procedure, the robots learn the relationship of horizontal/vertical and left/right visual stimuli, regardless of their specific pattern composition or their location on the images. Tests with novel patterns and locations were successfully completed after the acquisition learning phase. Results show that the SNN can adapt its behavior in real time when the rewarding rule changes.
引用
下载
收藏
页数：8
相关论文
共 50 条
  • [1] Embedded neural network for swarm learning of physical robots
    Hartono, Pitoyo
    Kakita, Sachiko
    ARTIFICIAL NEURAL NETWORKS - ICANN 2008, PT II, 2008, 5164 : 141 - 149
  • [2] FPGA Implementation of Self-Organized Spiking Neural Network Controller for Mobile Robots
    Xue, Fangzheng
    Wang, Wei
    Li, Nan
    Yang, Yuchao
    ADVANCES IN MECHANICAL ENGINEERING, 2014,
  • [3] Real-time implementation of ReSuMe learning in Spiking Neural Network
    Xia, Yang
    Uenohara, Seiji
    Aihara, Kazuyuki
    Levi, Timothee
    ICAROB 2019: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS, 2019, : 82 - 86
  • [4] Learning Spatial Reasoning in Virtual vs. Physical Games with Robots
    Yadollahi, Elmira
    Monteiro, Miguel Alexandre
    Paiva, Ana
    PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023, 2023, : 162 - 170
  • [5] A Stochastic Spiking Neural Network for Virtual Screening
    Morro, A.
    Canals, V.
    Oliver, A.
    Alomar, M. L.
    Galan-Prado, F.
    Ballester, P. J.
    Rossello, J. L.
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (04) : 1371 - 1375
  • [6] Evolving spiking neural network controllers for autonomous robots
    Hagras, H
    Pounds-Cornish, A
    Colley, M
    Callaghan, V
    Clarke, G
    2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, 2004, : 4620 - 4626
  • [7] VTSNN: a virtual temporal spiking neural network
    Qiu, Xue-Rui
    Wang, Zhao-Rui
    Luan, Zheng
    Zhu, Rui-Jie
    Wu, Xiao
    Zhang, Ma-Lu
    Deng, Liang-Jian
    FRONTIERS IN NEUROSCIENCE, 2023, 17
  • [8] Conversion of Artificial Neural Network to Spiking Neural Network for Hardware Implementation
    Chen, Yi-Lun
    Lu, Chih-Cheng
    Juang, Kai-Cheung
    Tang, Kea-Tiong
    2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2019,
  • [9] Supervised learning in a spiking neural network
    Myoung Won Cho
    Journal of the Korean Physical Society, 2021, 79 : 328 - 335
  • [10] FPGA Implementation of Simplified Spiking Neural Network
    Gupta, Shikhar
    Vyas, Arpan
    Trivedi, Gaurav
    2020 27TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (ICECS), 2020,
12345