Surprise minimization as a learning strategy in neural networks

被引：0
|
作者：
Mohammad Javad Faraji
Kerstin Preuschoff
Wulfram Gerstner
机构：
[1] Ecole Polytechnique Federal de Lausanne (EPFL),School of Life Sciences, Brain Mind Institute and School of Computer and Communication Sciences
[2] University of Geneva,Geneva Finance Research Institute
来源：
BMC Neuroscience | / 16卷 / Suppl 1期
关键词：
Learning Strategy; Internal Model; Bayesian Framework; Learning Agent; Inference Technique;
D O I：
10.1186/1471-2202-16-S1-P77
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Distributed Deep Neural Networks with System Cost Minimization in Fog Networks
    Shah, Syed Danial Ali
    Zhao, Hong Ping
    Kim, Hoon
    PROCEEDINGS OF TENCON 2018 - 2018 IEEE REGION 10 CONFERENCE, 2018, : 1193 - 1196
  • [32] Structure minimization using the impact factor in neural networks
    Kap-Ho Seo
    Jae-Su Song
    Ju-Jang Lee
    Artificial Life and Robotics, 2002, 6 (3) : 149 - 154
  • [33] On Genetic Algorithms and Neural Networks for Boolean Functions Minimization
    Kazimirov, A. S.
    Reimerov, S. Y.
    PROCEEDINGS OF THE XIX IEEE INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND MEASUREMENTS (SCM 2016), 2016, : 260 - 261
  • [34] Minimization of the micromotion of trapped ions with artificial neural networks
    Liu, Yang
    Lao, Qi-feng
    Lu, Peng-fei
    Rao, Xin-xin
    Wu, Hao
    Liu, Teng
    Wang, Kun-xu
    Wang, Zhao
    Li, Ming-shen
    Zhu, Feng
    Luo, Le
    APPLIED PHYSICS LETTERS, 2021, 119 (13)
  • [35] Proposal of relative-minimization learning for behavior stabilization of complex-valued recurrent neural networks
    Hirose, A
    Onishi, H
    NEUROCOMPUTING, 1999, 24 (1-3) : 163 - 171
  • [36] Behavior stabilization of complex-valued recurrent neural networks using relative-minimization learning
    Hirose, A
    Onishi, H
    IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 1998, : 1078 - 1083
  • [37] Current Harmonics Minimization of Permanent Magnet Synchronous Machine Based on Iterative Learning Control and Neural Networks
    Mai, Annette
    Liu, Xinjun
    Wagner, Bernhard
    Hofmann, Maximilian
    MACHINES, 2023, 11 (08)
  • [38] Exploration, novelty, surprise, and free energy minimization
    Schwartenbeck, Philipp
    FitzGerald, Thomas
    Dolan, Raymond J.
    Friston, Karl J.
    FRONTIERS IN PSYCHOLOGY, 2013, 4
  • [39] ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
    Kwon, Jungmin
    Kim, Jeongseop
    Park, Hyunseo
    Choi, In Kwon
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 2021, 139
  • [40] Learning Multiscale Neural Metrics via Entropy Minimization
    Brockmeier, Austin J.
    Giraldo, Luis G. Sanchez
    Choi, John S.
    Francis, Joseph T.
    Principe, Jose C.
    2013 6TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), 2013, : 247 - 250
12345