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EnglishCellular signaling pathways are responsible for decision making that sustains life. Most signaling pathways include post-translational modification cycles, that process multiple inputs and are tightly interconnected. Here we consider a model for phosphorylation/dephosphorylation cycles, and we show that under some assumptions they can operate as molecular neurons or perceptrons, that generate sigmoidal-like activation functions by processing sums of inputs with positive and negative weights. We carry out a steady-state and structural stability analysis for single molecular perceptrons as well as for feedforward interconnections, concluding that interconnected phosphorylation/dephosphorylation cycles may work as multilayer biomolecular neural networks (BNNs) with the capacity to perform a variety of computations. As an application, we design signaling networks that behave as linear and non-linear classifiers.
Signaling-based neural networks for cellular computation / Cuba Samaniego, Christian; Moorman, Andrew; Giordano, Giulia; Franco, Elisa. - 2021-(2021), pp. 1883-1890. ((Intervento presentato al convegno ACC 2021 tenutosi a New Orleans, USA nel 25th-28th May 2021 [10.23919/ACC50511.2021.9482800].
| Titolo: | Signaling-based neural networks for cellular computation | |
| Autori: | Cuba Samaniego, Christian; Moorman, Andrew; Giordano, Giulia; Franco, Elisa | |
| Autori Unitn: | ||
| Titolo del volume contenente il saggio: | 2021 American Control Conference (ACC) | |
| Luogo di edizione: | Piscataway, NJ | |
| Casa editrice: | Institute of Electrical and Electronics Engineers Inc. | |
| Anno di pubblicazione: | 2021 | |
| Codice identificativo Scopus: | 2-s2.0-85111922424 | |
| Codice identificativo WOS: | WOS:000702263301160 | |
| ISBN: | 978-1-6654-4197-1 | |
| Handle: | http://hdl.handle.net/11572/315601 | |
| Citazione: | Signaling-based neural networks for cellular computation / Cuba Samaniego, Christian; Moorman, Andrew; Giordano, Giulia; Franco, Elisa. - 2021-(2021), pp. 1883-1890. ((Intervento presentato al convegno ACC 2021 tenutosi a New Orleans, USA nel 25th-28th May 2021 [10.23919/ACC50511.2021.9482800]. | |
| Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |
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| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 2021ACC_CMGF.pdf | Versione editoriale (Publisher’s layout) | Tutti i diritti riservati (All rights reserved) | Administrator |
http://hdl.handle.net/11572/315601
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