Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 14 July 2022 / Approved: 15 July 2022 / Online: 15 July 2022 (07:39:15 CEST)

How to cite: Depannemaecker, D.; Lopez, L.; Gauld, C. Does Deep Learning Have Epileptic Seizures? On the Modeling of the Brain. Preprints 2022, 2022070229. https://doi.org/10.20944/preprints202207.0229.v1 Depannemaecker, D.; Lopez, L.; Gauld, C. Does Deep Learning Have Epileptic Seizures? On the Modeling of the Brain. Preprints 2022, 2022070229. https://doi.org/10.20944/preprints202207.0229.v1

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 epileptic seizure, which can develop in any biological neural tissue, we raise the 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 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.

Keywords

Neurosciences; Artificial intelligence; brain modeling; Deep Learning

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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