EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published
This submission belongs to the session 05. AI.MED-08: AI, Neuro Sciences, Med. Info., & Biomed. Eng. Congress, Coruña, Spain-Carleton, Canada-Stanford, USA, 2021 of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
23 Nov, 2021
Academic Editor
author-avatarSonia Arrasate Gil
Citation
Francisco Abel Cedrón Santaeufemia, Sara Álvarez González, Ana Porto, Symbiosis between neuroscience and computing, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-11851
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Symbiosis between neuroscience and computing

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1. UDC
2. RNASA-IMEDIR
Abstract

This paper presents how two apparently distinct branches, neuroscience and artificial intelligence, can collaborate in a symbiosis that allows them to join forces for new discoveries. Researchers specialising in the field of neuroscience can put forward conjectures and hypotheses that they have not been able to test for various reasons (high cost of testing, highly specialised simulations that programmes such as Neuron do not allow, etc.). All these questions posed by neuroscientists can be implemented by artificial intelligence experts within the connectionist branch. This allows new paradigms to appear in the artificial intelligence branch, and in the neuroscience branch to have a clearer idea of which hypothesis makes more sense in information processing. An example of this symbiosis has been the study of the tripartite synapse between neuron and astrocytes.

Keywords
artificial intelligence
neuroscience
astrocytes
information processing
Manuscript
eLearning Tools for Medicine.
Design of a neuroastrocytic model with dopaminergic NT modulated by astrocytes in the Prefrontal Cortex.