An organic brain-inspired platform with neurotransmitter closed-loop control, actuation and reinforcement learning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F24%3A00081596" target="_blank" >RIV/00159816:_____/24:00081596 - isvavai.cz</a>

Výsledek na webu

<a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC11182378/" target="_blank" >https://pmc.ncbi.nlm.nih.gov/articles/PMC11182378/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1039/d3mh02202a" target="_blank" >10.1039/d3mh02202a</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An organic brain-inspired platform with neurotransmitter closed-loop control, actuation and reinforcement learning

Popis výsledku v původním jazyce

Organic neuromorphic platforms have recently received growing interest for the implementation and integration of artificial and hybrid neuronal networks. Here, achieving closed-loop and learning/training processes as in the human brain is still a major challenge especially exploiting time-dependent biosignalling such as neurotransmitter release. Here, we present an integrated organic platform capable of cooperating with standard silicon technologies, to achieve brain-inspired computing via adaptive synaptic potentiation and depression, in a closed-loop fashion. The microfabricated platform could be interfaced and control a robotic hand which ultimately was able to learn the grasping of differently sized objects, autonomously. Organic neuromorphic platforms have recently received growing interest for the implementation and integration of hybrid systems, acting as a bridge between biological tissue and artificial computing architectures.

Název v anglickém jazyce

An organic brain-inspired platform with neurotransmitter closed-loop control, actuation and reinforcement learning

Popis výsledku anglicky

Organic neuromorphic platforms have recently received growing interest for the implementation and integration of artificial and hybrid neuronal networks. Here, achieving closed-loop and learning/training processes as in the human brain is still a major challenge especially exploiting time-dependent biosignalling such as neurotransmitter release. Here, we present an integrated organic platform capable of cooperating with standard silicon technologies, to achieve brain-inspired computing via adaptive synaptic potentiation and depression, in a closed-loop fashion. The microfabricated platform could be interfaced and control a robotic hand which ultimately was able to learn the grasping of differently sized objects, autonomously. Organic neuromorphic platforms have recently received growing interest for the implementation and integration of hybrid systems, acting as a bridge between biological tissue and artificial computing architectures.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10400 - Chemical sciences

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Materials Horizons

ISSN

2051-6347

e-ISSN

2051-6355

Svazek periodika

11

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

2865-2874

Kód UT WoS článku

001217084000001

EID výsledku v databázi Scopus

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