Organic Neuromorphic Circuits for Real‐Time Biosignal Applications Article Swipe
G.Y. Kim
,
Yerin Kim
,
Patryk Golec
,
Yvan Bonnassieux
,
M. Benwadih
,
Lina Kadura
,
Laurie E. Calvet
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/aelm.202500519
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/aelm.202500519
Organic neuromorphic circuits offer new opportunities for low‐power, flexible electronics capable of real‐time inference at the edge. In this work, we present a neuromorphic system based on organic thin‐film transistors (OTFTs) that performs biosignal classification in a Bayesian framework. The spiking behavior of artificial OTFT neuron circuits are first characterized, showing how their dynamics can be tuned through circuit parameters. We then demonstrate how the circuits can infer information from real‐world electroencephalography (EEG) data. When applied to epilepsy‐related signal patterns, the system achieves excellent classification performance, while maintaining ultra‐low power operation. These results highlight the potential of OTFT‐based neuromorphic architectures for embedded medical diagnostics.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/aelm.202500519
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aelm.202500519
- OA Status
- gold
- References
- 17
- OpenAlex ID
- https://openalex.org/W4416816051
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Raw OpenAlex JSON
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https://openalex.org/W4416816051Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/aelm.202500519Digital Object Identifier
- Title
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Organic Neuromorphic Circuits for Real‐Time Biosignal ApplicationsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-11-29Full publication date if available
- Authors
-
G.Y. Kim, Yerin Kim, Patryk Golec, Yvan Bonnassieux, M. Benwadih, Lina Kadura, Laurie E. CalvetList of authors in order
- Landing page
-
https://doi.org/10.1002/aelm.202500519Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aelm.202500519Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aelm.202500519Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
- References (count)
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17Number of works referenced by this work
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| abstract_inverted_index.OTFT | 45 |
| abstract_inverted_index.When | 75 |
| abstract_inverted_index.from | 70 |
| abstract_inverted_index.that | 32 |
| abstract_inverted_index.then | 62 |
| abstract_inverted_index.this | 19 |
| abstract_inverted_index.(EEG) | 73 |
| abstract_inverted_index.These | 92 |
| abstract_inverted_index.based | 26 |
| abstract_inverted_index.data. | 74 |
| abstract_inverted_index.edge. | 17 |
| abstract_inverted_index.first | 49 |
| abstract_inverted_index.infer | 68 |
| abstract_inverted_index.offer | 4 |
| abstract_inverted_index.power | 90 |
| abstract_inverted_index.their | 53 |
| abstract_inverted_index.tuned | 57 |
| abstract_inverted_index.while | 87 |
| abstract_inverted_index.work, | 20 |
| abstract_inverted_index.neuron | 46 |
| abstract_inverted_index.signal | 79 |
| abstract_inverted_index.system | 25, 82 |
| abstract_inverted_index.(OTFTs) | 31 |
| abstract_inverted_index.Organic | 1 |
| abstract_inverted_index.applied | 76 |
| abstract_inverted_index.capable | 11 |
| abstract_inverted_index.circuit | 59 |
| abstract_inverted_index.medical | 103 |
| abstract_inverted_index.organic | 28 |
| abstract_inverted_index.present | 22 |
| abstract_inverted_index.results | 93 |
| abstract_inverted_index.showing | 51 |
| abstract_inverted_index.spiking | 41 |
| abstract_inverted_index.through | 58 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Bayesian | 38 |
| abstract_inverted_index.achieves | 83 |
| abstract_inverted_index.behavior | 42 |
| abstract_inverted_index.circuits | 3, 47, 66 |
| abstract_inverted_index.dynamics | 54 |
| abstract_inverted_index.embedded | 102 |
| abstract_inverted_index.flexible | 9 |
| abstract_inverted_index.performs | 33 |
| abstract_inverted_index.biosignal | 34 |
| abstract_inverted_index.excellent | 84 |
| abstract_inverted_index.highlight | 94 |
| abstract_inverted_index.inference | 14 |
| abstract_inverted_index.patterns, | 80 |
| abstract_inverted_index.potential | 96 |
| abstract_inverted_index.artificial | 44 |
| abstract_inverted_index.framework. | 39 |
| abstract_inverted_index.operation. | 91 |
| abstract_inverted_index.demonstrate | 63 |
| abstract_inverted_index.electronics | 10 |
| abstract_inverted_index.information | 69 |
| abstract_inverted_index.maintaining | 88 |
| abstract_inverted_index.parameters. | 60 |
| abstract_inverted_index.real‐time | 13 |
| abstract_inverted_index.thin‐film | 29 |
| abstract_inverted_index.transistors | 30 |
| abstract_inverted_index.ultra‐low | 89 |
| abstract_inverted_index.OTFT‐based | 98 |
| abstract_inverted_index.diagnostics. | 104 |
| abstract_inverted_index.low‐power, | 8 |
| abstract_inverted_index.neuromorphic | 2, 24, 99 |
| abstract_inverted_index.performance, | 86 |
| abstract_inverted_index.real‐world | 71 |
| abstract_inverted_index.architectures | 100 |
| abstract_inverted_index.opportunities | 6 |
| abstract_inverted_index.characterized, | 50 |
| abstract_inverted_index.classification | 35, 85 |
| abstract_inverted_index.epilepsy‐related | 78 |
| abstract_inverted_index.electroencephalography | 72 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5043466866 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I142476485, https://openalex.org/I4210122671 |
| citation_normalized_percentile |