The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
An Evolvable Organic Electrochemical Transistor for Neuromorphic Applications
Open accessAbstract
An evolvable organic electrochemical transistor (OECT), operating in the hybrid accumulation–depletion mode is reported, which exhibits short‐term and long‐term memory functionalities. The transistor channel, formed by an electropolymerized conducting polymer, can be formed, modulated, and obliterated in situ and under operation. Enduring changes in channel conductance, analogous to long‐term potentiation and depression, are attained by electropolymerization and electrochemical overoxidation of the channel material, respectively. Transient changes in channel conductance, analogous to short‐term potentiation and depression, are accomplished by inducing nonequilibrium doping states within the transistor channel. By manipulating the input signal, the strength of the transistor response to a given stimulus can be modulated within a range that spans several orders of magnitude, producing behavior that is directly comparable to short‐ and long‐term neuroplasticity. The evolvable transistor is further incorporated into a simple circuit that mimics classical conditioning. It is forecasted that OECTs that can be physically and electronically modulated under operation will bring about a new paradigm of machine learning based on evolvable organic electronics.
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Cites
Simple model of spiking neurons
Izhikevich, E. M. (2003) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2003.820440 · Cited by 4,828
Nanoscale Memristor Device as Synapse in Neuromorphic Systems
Jo, S. H., Chang, T., Ebong, I., Bhadviya, B. B., Mazumder, P., & Lu, W. (2010) · Nano Letters · doi:10.1021/nl904092h · Cited by 4,174
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Wang, Z., Joshi, S., Savel’ev, S. E., Jiang, H., Midya, R., Lin, P., Hu, M., Ge, N., Strachan, J. P., Li, Z., et al. (2017) · Nature Materials · doi:10.1038/nmat4756 · Cited by 2,358
Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing
Kuzum, D., Jeyasingh, R. G. D., Lee, B., & Wong, H.-S. P. (2012) · Nano Letters · doi:10.1021/nl201040y · Cited by 1,267
Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor
Chang, T., Jo, S.-H., & Lu, W. (2011) · ACS Nano · doi:10.1021/nn202983n · Cited by 1,058
Neuromorphic device architectures with global connectivity through electrolyte gating.
Gkoupidenis, P., Koutsouras, D. A., & Malliaras, G. G. (2017) · Nature Communications · doi:10.1038/ncomms15448 · Cited by 353
Cited by
Two-dimensional materials for next-generation computing technologies
Liu, C., Chen, H., Wang, S., Liu, Q., Jiang, Y.-G., Zhang, D. W., Liu, M., & Zhou, P. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0724-3 · Cited by 1,045
Electrolyte-gated transistors for enhanced performance bioelectronics
Torricelli, F., Adrahtas, D. Z., Bao, Z., Berggren, M., Biscarini, F., Bonfiglio, A., Bortolotti, C. A., Frisbie, C. D., Macchia, E., Malliaras, G. G., et al. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00065-8 · Cited by 422
Self-citationNeuro-inspired electronic skin for robots
Liu, F., Deswal, S., Christou, A., Sandamirskaya, Y., Kaboli, M., & Dahiya, R. (2022) · Science Robotics · doi:10.1126/scirobotics.abl7344 · Cited by 300
Ling, H., Koutsouras, D. A., Kazemzadeh, S., van de Burgt, Y., Yan, F., & Gkoupidenis, P. (2020) · Applied Physics Reviews · doi:10.1063/1.5122249 · Cited by 294
Metadata
- Authors
- Gerasimov, J. Y., Gabrielsson, R., Forchheimer, R., Stavrinidou, E., Simon, D. T., Berggren, M., & Fabiano, S.
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2019-02-04
- Volume
- 6
- Issue
- 7
- Pages
- 1801339-1801339
- ISSN
- 2198-3844 (ISSN-L)
- OpenAlex
- W2913806846
- Cited by
- 222
- References
- 6
- FWCI
- 10.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- Gerasimov, J. Y., Gabrielsson, R., Forchheimer, R., Stavrinidou, E., Simon, D. T., Berggren, M., & Fabiano, S. (2019). An Evolvable Organic Electrochemical Transistor for Neuromorphic Applications. Advanced Science. https://doi.org/10.1002/advs.201801339
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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