A Neuron-Glial Perspective for Computational Neuroscience

Maurizio de Pittà 1 Hugues Berry 2, 3
2 BEAGLE - Artificial Evolution and Computational Biology
LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558, Inria Grenoble - Rhône-Alpes, LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : There is growing excitement around glial cells, as compelling evidence point to new, previously unimaginable roles for these cells in information processing of the brain, with the potential to affect behavior and higher cognitive functions. Among their many possible functions, glial cells could be involved in practically every aspect of the brain physiology in health and disease. As a result, many investigators in the field welcome the notion of a Neuron-Glial paradigm of brain function, as opposed to Ramon y Cayal's more classical neuronal doctrine which identifies neurons as the prominent, if not the only, cells capable of a signaling role in the brain. The demonstration of a brain-wide Neuron-Glial paradigm however remains elusive and so does the notion of what neuron-glial interactions could be functionally relevant for the brain computational tasks. In this perspective, we present a selection of arguments inspired by available experimental and modeling studies with the aim to provide a biophysical and conceptual platform to computational neuroscience no longer as a mere prerogative of neuronal signaling but rather as the outcome of a complex interaction between neurons and glial cells.
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Maurizio de Pittà, Hugues Berry. A Neuron-Glial Perspective for Computational Neuroscience. Maurizio de Pittà; Hugues Berry. Computational Glioscience, Spinger, pp.3-35, 2019, Springer Series in Computational Neuroscience, 978-3-030-00817-8. ⟨10.1007/978-3-030-00817-8_1⟩. ⟨hal-01995849⟩

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