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A Pragmatic Approach to Understand Hebbian Cell Assembly

Author

Listed:
  • Aswani Kumar Cherukuri

    (Vellore Institute of Technology, Vellore, India)

  • Radhika Shivhare

    (Vellore Institute of Technology, Vellore, India)

  • Ajith Abraham

    (Machine Intelligence Research Labs, USA)

  • Jinhai Li

    (Kunming University of Science and Technology, Kunming, China)

  • Annapurna Jonnalagadda

    (Vellore Institute of Technology, Vellore, India)

Abstract

Formed at the cerebral cortex, neuron cell assemblies are regarded as basic units in cortical representation. Proposed by Hebb, these cell assemblies are regarded as the distributed neural representation of relevant objects, concepts or constellations. Each cell assembly contains a group of neurons having strong mutual excitatory connections. During a stimulus, these cells get activated. This activation either performs a given action or represent a given percept or concept in brain. This theory is in the strongest connection of the problem of concept forming in the brain. The challenge is to model coordinated activity among neurons in brain mathematically. The need of modelling it mathematically enables this paper to give clear view of functionality of Hebbian cell assembly. Therefore this paper proposes a pragmatic approach to Hebbian cell assemblies using mathematical model grounded in lattice based formalism that utilizes Galois connections. During this proposal, the authors also show the connections of the proposal to cognitive model of memory in particularly long-term memory (LTM).

Suggested Citation

  • Aswani Kumar Cherukuri & Radhika Shivhare & Ajith Abraham & Jinhai Li & Annapurna Jonnalagadda, 2021. "A Pragmatic Approach to Understand Hebbian Cell Assembly," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global Scientific Publishing, vol. 15(2), pages 60-82, April.
    • Handle: RePEc:igg:jcini0:v:15:y:2021:i:2:p:60-82
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    References listed on IDEAS

    as
    1. Vítor Lopes-dos-Santos & Sergio Conde-Ocazionez & Miguel A L Nicolelis & Sidarta T Ribeiro & Adriano B L Tort, 2011. "Neuronal Assembly Detection and Cell Membership Specification by Principal Component Analysis," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-16, June.
    2. Yingxu Wang, 2007. "The OAR Model of Neural Informatics for Internal Knowledge Representation in the Brain," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global Scientific Publishing, vol. 1(3), pages 66-77, July.
    3. Yingxu Wang & Lotfi A. Zadeh & Bernard Widrow & Newton Howard & Françoise Beaufays & George Baciu & D. Frank Hsu & Guiming Luo & Fumio Mizoguchi & Shushma Patel & Victor Raskin & Shusaku Tsumoto & Wei, 2017. "Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global Scientific Publishing, vol. 11(1), pages 1-15, January.
    4. Yingxu Wang & Bernard Widrow & Lotfi A. Zadeh & Newton Howard & Sally Wood & Virendrakumar C. Bhavsar & Gerhard Budin & Christine Chan & Rodolfo A. Fiorini & Marina L. Gavrilova & Duane F. Shell, 2016. "Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global Scientific Publishing, vol. 10(4), pages 1-20, October.
    5. Ch., Aswani Kumar & Dias, Sérgio M. & Vieira, Newton J., 2015. "Knowledge reduction in formal contexts using non-negative matrix factorization," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 109(C), pages 46-63.
    6. repec:abf:journl:v:31:y:2020:i:3:p:24261-24266 is not listed on IDEAS
    7. Yingxu Wang, 2007. "The Theoretical Framework of Cognitive Informatics," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global Scientific Publishing, vol. 1(1), pages 1-27, January.
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