IDEAS home Printed from https://ideas.repec.org/a/igg/jcini0/v15y2021i2p60-82.html
   My bibliography  Save this article

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, vol. 15(2), pages 60-82, April.
    • Handle: RePEc:igg:jcini0:v:15:y:2021:i:2:p:60-82
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCINI.20210401.oa6
    Download Restriction: no
    ---><---

    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, 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, 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, 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. Yingxu Wang, 2007. "The Theoretical Framework of Cognitive Informatics," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 1(1), pages 1-27, January.
    7. Paul T E Cusack, 2020. "The Human Brain," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 31(3), pages 24261-24266, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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, vol. 15(2), pages 73-95, April.
    2. Dominic Holland & Oleksandr Frei & Rahul Desikan & Chun-Chieh Fan & Alexey A Shadrin & Olav B Smeland & V S Sundar & Paul Thompson & Ole A Andreassen & Anders M Dale, 2020. "Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model," PLOS Genetics, Public Library of Science, vol. 16(5), pages 1-30, May.
    3. Julia Berezutskaya & Zachary V Freudenburg & Umut Güçlü & Marcel A J van Gerven & Nick F Ramsey, 2020. "Brain-optimized extraction of complex sound features that drive continuous auditory perception," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-34, July.
    4. Abigail B. Schneider & Bridget Leonard, 2022. "From anxiety to control: Mask‐wearing, perceived marketplace influence, and emotional well‐being during the COVID‐19 pandemic," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 97-119, March.
    5. Geonhui Lee & Woong Choi & Hanjin Jo & Wookhyun Park & Jaehyo Kim, 2020. "Analysis of motor control strategy for frontal and sagittal planes of circular tracking movements using visual feedback noise from velocity change and depth information," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    6. Odelaisy León-Triana & Julián Pérez-Beteta & David Albillo & Ana Ortiz de Mendivil & Luis Pérez-Romasanta & Elisabet González-Del Portillo & Manuel Llorente & Natalia Carballo & Estanislao Arana & Víc, 2021. "Brain Metastasis Response to Stereotactic Radio Surgery: A Mathematical Approach," Mathematics, MDPI, vol. 9(7), pages 1-19, March.
    7. Mirren Charnley & Saba Islam & Guneet K. Bindra & Jeremy Engwirda & Julian Ratcliffe & Jiangtao Zhou & Raffaele Mezzenga & Mark D. Hulett & Kyunghoon Han & Joshua T. Berryman & Nicholas P. Reynolds, 2022. "Neurotoxic amyloidogenic peptides in the proteome of SARS-COV2: potential implications for neurological symptoms in COVID-19," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    8. Mark D Humphries & Javier A Caballero & Mat Evans & Silvia Maggi & Abhinav Singh, 2021. "Spectral estimation for detecting low-dimensional structure in networks using arbitrary null models," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-22, July.
    9. Samy Castro & Wael El-Deredy & Demian Battaglia & Patricio Orio, 2020. "Cortical ignition dynamics is tightly linked to the core organisation of the human connectome," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-23, July.
    10. Nguyen, Ha Trong & Brinkman, Sally & Le, Huong Thu & Zubrick, Stephen R. & Mitrou, Francis, 2022. "Gender differences in time allocation contribute to differences in developmental outcomes in children and adolescents," Economics of Education Review, Elsevier, vol. 89(C).
    11. Gregor Wolbring, 2022. "Auditing the ‘Social’ of Quantum Technologies: A Scoping Review," Societies, MDPI, vol. 12(2), pages 1-38, March.
    12. April R. Kriebel & Joshua D. Welch, 2022. "UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    13. Boada, Júlia Pareto & Maestre, Begoña Román & Genís, Carme Torras, 2021. "The ethical issues of social assistive robotics: A critical literature review," Technology in Society, Elsevier, vol. 67(C).
    14. Hamed Nili & Alexander Walther & Arjen Alink & Nikolaus Kriegeskorte, 2020. "Inferring exemplar discriminability in brain representations," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.
    15. Valtteri Arstila & Alexandra L Georgescu & Henri Pesonen & Daniel Lunn & Valdas Noreika & Christine M Falter-Wagner, 2020. "Event timing in human vision: Modulating factors and independent functions," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-22, August.
    16. Don, Arjuna P.H. & Peters, James F. & Ramanna, Sheela & Tozzi, Arturo, 2021. "Quaternionic views of rs-fMRI hierarchical brain activation regions. Discovery of multilevel brain activation region intensities in rs-fMRI video frames," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    17. Linzmajer, Marc & Hubert, Mirja & Hubert, Marco, 2021. "It’s about the process, not the result: An fMRI approach to explore the encoding of explicit and implicit price information," Journal of Economic Psychology, Elsevier, vol. 86(C).
    18. Natalie J Shook & Barış Sevi & Jerin Lee & Benjamin Oosterhoff & Holly N Fitzgerald, 2020. "Disease avoidance in the time of COVID-19: The behavioral immune system is associated with concern and preventative health behaviors," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    19. Cristina Lázaro-Pérez & José Ángel Martínez-López & José Gómez-Galán, 2020. "Addictions in Spanish College Students in Confinement Times: Preventive and Social Perspective," Social Sciences, MDPI, vol. 9(11), pages 1-21, October.
    20. Yashika Arora & Pushpinder Walia & Mitsuhiro Hayashibe & Makii Muthalib & Shubhajit Roy Chowdhury & Stephane Perrey & Anirban Dutta, 2021. "Grey-box modeling and hypothesis testing of functional near-infrared spectroscopy-based cerebrovascular reactivity to anodal high-definition tDCS in healthy humans," PLOS Computational Biology, Public Library of Science, vol. 17(10), pages 1-38, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jcini0:v:15:y:2021:i:2:p:60-82. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.