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Correlation Between Extreme Learning Machine and Entorhinal Hippocampal System

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Book cover Proceedings of ELM-2015 Volume 2

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 7))

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Abstract

In recent years there has been a considerable interest in exploring the nature of learning and memory system among artificial intelligence researchers and neuroscientists about the neural mechanisms, simulation and enhancement. While a number of studies have investigated the artificial neural networks inspired by biological learning and memory systems, for example the extreme learning machine and support vector machine, seldom research exists examining and comparing the recording neural data and these neural networks. Therefore, the purpose of this exploratory qualitative study is to investigate the extreme learning machine proposed by Huang as a novel method to analyze and explain the biological learning process in the entorhinal hippocampal system, which is thought to play an important role in animal learning, memory and spatial navigation. Data collected from multiunit recordings of different rat hippocampal regions in multiple behavioral tasks was used to analyze the relationship between the extreme learning machine and the biological learning. The results demonstrated that there was a correlation between the biological learning and the extreme learning machine which can contribute to a better understanding of biological learning mechanism.

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Acknowledgments

This work was supported by the National Key Basic Research Program of China (973 program, No. 2013CB329504) and partially supported by Zhejiang Provincial Natural Science Foundation of China (No. LZ14F020002) and the Natural Science Foundation of China (No. 61103185, No. 61572433 and No. 61472283).

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Authors and Affiliations

  1. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

    Lijuan Su, Min Yao, Nenggan Zheng & Zhaohui Wu

  2. Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China

    Lijuan Su, Min Yao, Nenggan Zheng & Zhaohui Wu

Authors
  1. Lijuan Su
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  2. Min Yao
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  3. Nenggan Zheng
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  4. Zhaohui Wu
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Corresponding author

Correspondence to Min Yao .

Editor information

Editors and Affiliations

  1. Institute of Information and Contro, Hangzhou Dianzi University, Zhejiang, China

    Jiuwen Cao

  2. Nanyang Technological University, Singapore, Singapore

    Kezhi Mao

  3. ECE, U of Windsor, WINDSOR, Ontario, Canada

    Jonathan Wu

  4. Dept of Mechanical and Industrial Engg, University of Iowa, Iowa City, Iowa, USA

    Amaury Lendasse

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Su, L., Yao, M., Zheng, N., Wu, Z. (2016). Correlation Between Extreme Learning Machine and Entorhinal Hippocampal System. In: Cao, J., Mao, K., Wu, J., Lendasse, A. (eds) Proceedings of ELM-2015 Volume 2. Proceedings in Adaptation, Learning and Optimization, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-28373-9_26

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  • DOI: https://doi.org/10.1007/978-3-319-28373-9_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28372-2

  • Online ISBN: 978-3-319-28373-9

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