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Does Deep Learning Have Epileptic Seizures? On the Modeling of the Brain

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Abstract

If the development of machine learning and artificial intelligence plays a role in many fields of research and technology today, it has a special relationship with neurosciences. Indeed, historically inspired by our knowledge of the brain, deep learning shares some vocabularies with neurosciences and can sometimes be considered a brain’s model. Taking the particular example of seizure, which can develop in any biological neural tissue, we question if and how the models used for deep learning can capture or model these pathological events. This particular example is a starting point to discuss the nature, limits, and functions of these models, and we discuss what we expect from a model of the brain. Finally, we argue that a pluralistic approach leading to the integrated coexistence of different models is necessary to study the brain in all its complexity.

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Author notes

  1. Damien Depannemaecker and Léo Pio-Lopez contributed equally to this work.

Authors and Affiliations

  1. Institut de Neuroscience des Systèmes, Aix Marseille University, INSERM, 13005, Marseille, France

    Damien Depannemaecker

  2. Allen Discovery Center, Tufts University, Medford, MA, USA

    Léo Pio-Lopez

  3. Department of Psychopathology of Child and Adolescent Development, Neurological Hospital, Hospices Civils de Lyon, Lyon, France

    Christophe Gauld

  4. Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, Lyon, France

    Christophe Gauld

Authors
  1. Damien Depannemaecker
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  2. Léo Pio-Lopez
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  3. Christophe Gauld
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Correspondence to Damien Depannemaecker.

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Depannemaecker, D., Pio-Lopez, L. & Gauld, C. Does Deep Learning Have Epileptic Seizures? On the Modeling of the Brain. Cogn Comput (2023). https://doi.org/10.1007/s12559-023-10113-y

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