<div class="csl-bib-body">
<div class="csl-entry">Jüngel, A. (2024, May 14). <i>Emerging network structures: from biological vessel formation to neuromorphic computing</i> [Presentation]. Seminar of the Graduate School of Informatics, Kyoto University (2024), Kyoto, Japan.</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/197587
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dc.description.abstract
The understanding of the emergence of network structures is fundamental to describe biological networks like blood vessels and interconnected neuron systems. The vision is to develop biology-influenced computer devices whose design is inspired by the neural networks of the brain. Compared to artificial intelligence that relies on algorithms to process information, neuromorphic computing uses hardware that mimics the function of the brain. In this talk, we present diffusion-type models describing phenomena from cell biology, which may lead to biological or artificial networks. We report on some models, explain their key features, and present first numerical simulations.
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dc.language.iso
en
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dc.subject
network modeling
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dc.subject
vessel morphology
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dc.subject
numerical simulations
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dc.subject
memristor devices
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dc.title
Emerging network structures: from biological vessel formation to neuromorphic computing