An organic electrochemical neuron for a neuromorphic perception systemShow others and affiliations
2025 (English)In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 122, no 2, article id e2414879122Article in journal (Refereed) Published
Abstract [en]
Human perception systems are highly refined, relying on an adaptive, plastic, and event- driven network of sensory neurons. Drawing inspiration from Nature, neuromorphic perception systems hold tremendous potential for efficient multisensory signal processing in the physical world; however, the development of an efficient artificial neuron with a widely calibratable spiking range and reduced footprint remains chalcomplementary circuitry enabled by an advanced n- type polymer for balanced p- /n- type of producing spikes with a widely calibratable state- of- the art firing frequency range of 0.130 to 147.1 Hz. Leveraging this capability, we develop a neuromorphic perception artificial synapse for tactile perception. The system successfully encodes tactile stimulations into frequency- dependent spikes, which are further converted into postsynaptic responses. This bioinspired design demonstrates significant potential to advance cyborg and neuromorphic systems, providing them with perceptual capabilities.
Place, publisher, year, edition, pages
NATL ACAD SCIENCES , 2025. Vol. 122, no 2, article id e2414879122
Keywords [en]
bioelectronics; neuromorphic; organic transistors; organic polymer
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-211721DOI: 10.1073/pnas.2414879122ISI: 001411898100002PubMedID: 39773026Scopus ID: 2-s2.0-85215065765OAI: oai:DiVA.org:liu-211721DiVA, id: diva2:1938425
Note
Funding Agencies|Northwestern University; SHyNE Resource [NSF ECCS-2025633, NSF DMR-1720139]
2025-02-182025-02-182025-02-18