Synthetic biological neural networks : from current implementations to future perspectives

Halužan Vasle, Ana (avtor), Moškon, Miha (avtor)

Artificial neural networks, inspired by the biological networks of the human brain, have become game-changing computing models in modern computer science. Inspired by their wide scope of applications, synthetic biology strives to create their biological counterparts, which we denote synthetic biological neural networks (SYNBIONNs). Their use in the fields of medicine, biosensors, biotechnology, and many more shows great potential and presents exciting possibilities. So far, many different synthetic biological networks have been successfully constructed, however, SYNBIONN implementations have been sparse. The latter are mostly based on neural networks pretrained in silico and being heavily dependent on extensive human input. In this paper, we review current implementations and models of SYNBIONNs. We briefly present the biological platforms that show potential for designing and constructing perceptrons and/or multilayer SYNBIONNs. We explore their future possibilities along with the challenges that must be overcome to successfully implement a scalable in vivo biological neural network capable of online learning.

• Jezik: Angleški jezik
• Ključne besede: neural networks, perceptron, synthetic biology, molecular computing, neuromorphic computing, modelling and simulation
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.02 - Pregledni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: 11 str.
• Številčenje: Vol. 237, art. 105164
• PID: 20.500.12556/RUL-155774
• UDK: 004:575.112
• ISSN pri članku: 0303-2647
• DOI: 10.1016/j.biosystems.2024.105164
• COBISS.SI-ID: 187310083
• Datum objave v RUL: 17.04.2024

Gradivo je del revije

• Naslov: Biosystems
• Skrajšan naslov: Biosystems
• Založnik: North-Holland
• ISSN: 0303-2647
• COBISS.SI-ID: 25103360

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: nevronske mreže, sintezna biologija, molekularno računalništvo, nevromorfno računalništvo, modeliranje in simulacije

Projekti

• Financer: ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
• Številka projekta: P2-0359
• Naslov: Vseprisotno računalništvo

• Financer: ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
• Številka projekta: J1-50024
• Naslov: Povezava med hipoksijo in sintezo holesterola v cirkadianem času