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

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 an...

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Bibliographic Details
Published in:Cognitive computation 2024-09, Vol.16 (5), p.2382-2388
Main Authors: Depannemaecker, Damien, Pio-Lopez, Léo, Gauld, Christophe
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Biological models (mathematics)
Brain
Computation by Abstract Devices
Computational Biology/Bioinformatics
Computer Science
Convulsions & seizures
Data analysis
Deep learning
Epilepsy
Machine learning
Neural networks
Neurons
Seizures
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Summary: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.
ISSN:1866-9956
1866-9964
DOI:10.1007/s12559-023-10113-y