과제정보
본 연구는 대한민국 정부로부터 지원받은 한국전자통신연구원(ETRI) 기본사업인 "뉴로모픽 디코더-인코더 원천기술 연구개발(23ZB1140)" 사업의 지원을 받아 수행되었습니다.
참고문헌
- M.T. Shipley et al., "The olfactory system," Neuroscience in Medicine, 2003, pp. 579-593.
- M.F. Bear et al., "Neuroscience 4th ed," 2015.
- A.J. Emanuel et al., "Cortical responses to touch reflect subcortical integration of LTMR signals," Nature, vol. 600, no. 7890, 2021, pp. 680-685. https://doi.org/10.1038/s41586-021-04094-x
- J. Turecek et al., "The encoding of touch by somatotopically aligned dorsal column subdivisions," Nature, vol. 612, no. 7939, 2022, pp. 310-315. https://doi.org/10.1038/s41586-022-05470-x
- J.D. Lieber et al., "High-dimensional representation of texture in somatosensory cortex of primates," PNAS, vol. 116, no. 8, 2019, pp. 3268-3277. https://doi.org/10.1073/pnas.1818501116
- E.M. Izhikevich, "Simple model of spiking neurons," IEEE Trans. Neural. Netw., vol. 14, no. 6, 2003, pp. 1569-1572. https://doi.org/10.1109/TNN.2003.820440
- J. Kim et al., "Modeling long-term spike frequency adaptation in sa-i afferent neurons using an izhikevich-based biological neuron model," Exp. Neurobiol., vol. 32, no. 3, 2023, pp. 157-169. https://doi.org/10.5607/en23005
- Y. Kang et al., "A decoding model of spike firing in the slowly-adapting receptors for encoding the natural tactility," in Proc. Neuroscience 2022, (San Diego, CA, USA), Nov. 2022.
- L. Buck et al., "A novel multigene family may encode odorant receptors: A molecular basis for odor recognition," Cell, vol. 65, no. 1, 1991, pp. 175-187. https://doi.org/10.1016/0092-8674(91)90418-X
- K. Kaeppler et al., "Odor classification: A review of factors influencing perception-based odor arrangements," Chemical Senses, vol. 38, no. 3, 2013, pp. 189-209. https://doi.org/10.1093/chemse/bjs141
- F. Kermen et al., "Molecular complexity determines the number of olfactory notes and the pleasantness of smells," Sci. Rep., vol. 1, 2011.
- B. Malnic et al., "Combinatorial receptor codes for odor," Cell, vol. 96, no. 5, 1999, pp. 713-723. https://doi.org/10.1016/S0092-8674(00)80581-4
- O. Baud et al., "The mouse eugenol odorant receptor: structural and functional plasticity of a broadly tuned odorant binding pocket," Biochemistry, vol. 50, no. 5, 2011, pp. 843-853. https://doi.org/10.1021/bi1017396
- S.M. Boyle et al., "Expanding the olfactory code by in silico decoding of odor-receptor chemical space," eLife, vol. 2, 2013.
- H. Jiang et al., "Theta oscillations rapidly convey odor-specific content in human piriform cortex," Neuron, vol. 94, no. 1, 2017, pp. 207-219. https://doi.org/10.1016/j.neuron.2017.03.021
- P. Fan et al., "PtNPs/PEDOT:PSS-modified microelectrode arrays reveal electrophysiological activities of different neurons in medial amygdala of mice under innate fear," Front. Neurosci., vol. 16, 2022.
- J. Kim et al., "A bird's-eye view of brain activity in socially interacting mice through mobile edge computing(MEC)," Sci. Adv., vol. 6, no. 49, 2020.
- J.-K. han et al., "A review of artificial spiking neuron devices for neural processing and sensing," Adv. Funct. Mater., vol. 32, no. 33, 2022.
- S. Dai et al., "Recent advances in transistor-based artificial synapses," Adv. Funct. Mater., vol. 29, no. 42, 2019.
- J.W. Lim et al., "Photo-synaptic oxide transistors with Al2O3/SiOX stacked gate dielectric exhibiting 1024 conduction states with good linearity," Adv. Electron. Mater., vol. 8, no. 10, 2022.
- H. Lee et al., "Three-terminal ovonic threshold switch (3T-OTS) with tunable threshold voltage for versatile artificial sensory neurons," Nano Lett., vol. 22, no. 2, 2022, pp. 733-739. https://doi.org/10.1021/acs.nanolett.1c04125
- M.-K. Kim et al., "Emerging materials for neuromorphic devices and systems," iSciences, vol. 23, no. 12, 2020.
- S.H. Sung et al., "Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse," Nat. Commun., vol. 13, no. 1, 2022.
- C. Wan et al., "Artificial sensory memory," Adv. Mater., vol. 32, no. 15, 2020.
- https://news.nus.edu.sg/intelligent-sensing-abilities-for-robots-to-carry-out-complex-tasks/
- S.H. Kim et al., "A bioinspired stretchable sensory-neuromorphic system," Adv. Mater., vol. 33, no. 44, 2021.
- S. Chun et al., "An artificial neural tactile sensing system," Nat. Electron., vol. 4, no. 6, 2021, pp. 429-438. https://doi.org/10.1038/s41928-021-00585-x
- J. Li et al., "Oxygen-vacancy-induced synaptic plasticity in an electrospun InGdO nanofiber transistor for a gas sensory system with a learning function," ACS Appl. Mater. Interfaces, vol. 14, no. 6, 2022, pp. 8587-8597. https://doi.org/10.1021/acsami.1c23390
- D. Kwon et al., "Efficient fusion of spiking neural networks and FET-type gas sensors for a fast and reliable artificial olfactory system," Sens. Actuators B: Chem., vol. 345, 2021.
- S.Y. Chun et al., "An Artificial Olfactory System Based on a Chemi-Memristive Device(Adv. Mater. 35/2023)," Adv. Mater., vol. 35, no. 35, 2023.
- W. Maass, "Networks of spiking neurons: The third generation of neural network models," Neural Netw., vol. 10, no. 9, 1997, pp. 1659-1671. https://doi.org/10.1016/S0893-6080(97)00011-7
- P.U. Diehl et al., "Unsupervised learning of digit recognition using spike-timing-dependent plasticity," Front. Comput. Neurosci., vol. 9, 2015.
- https://www.youtube.com/watch?v=WcwEr5cMSoM
- J.-K. Han et al., "Artificial olfactory neuron for an in-sensor neuromorphic nose," Adv. Sci., vol. 9, no. 18, 2022.
- H. Tan et al., "Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves," Nat. Commun., vol. 11, no. 1, 2020.