{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T17:31:18Z","timestamp":1784741478597,"version":"3.55.0"},"reference-count":149,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T00:00:00Z","timestamp":1713830400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T00:00:00Z","timestamp":1713830400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1007\/s11432-023-3888-0","type":"journal-article","created":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T03:48:53Z","timestamp":1714103333000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Bioinspired sensing-memory-computing integrated vision systems: biomimetic mechanisms, design principles, and applications"],"prefix":"10.1007","volume":"67","author":[{"given":"Yujie","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinlong","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yabo","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhua","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,4,23]]},"reference":[{"key":"3888_CR1","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1038\/s41586-020-2038-x","volume":"579","author":"L Mennel","year":"2020","unstructured":"Mennel L, Symonowicz J, Wachter S, et al. Ultrafast machine vision with 2D material neural network image sensors. Nature, 2020, 579: 62\u201366","journal-title":"Nature"},{"key":"3888_CR2","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1038\/d41586-020-00592-6","volume":"579","author":"Y Chai","year":"2020","unstructured":"Chai Y. In-sensor computing for machine vision. Nature, 2020, 579: 32\u201333","journal-title":"Nature"},{"key":"3888_CR3","doi-asserted-by":"publisher","first-page":"1704455","DOI":"10.1002\/adfm.201704455","volume":"28","author":"R Yang","year":"2018","unstructured":"Yang R, Huang H, Hong Q, et al. Synaptic suppression triplet-STDP learning rule realized in second-order memristors. Adv Funct Mater, 2018, 28: 1704455","journal-title":"Adv Funct Mater"},{"key":"3888_CR4","doi-asserted-by":"publisher","first-page":"1800854","DOI":"10.1002\/adfm.201800854","volume":"28","author":"Y Zhong","year":"2018","unstructured":"Zhong Y, Wang T, Gao X, et al. Synapse-like organic thin film memristors. Adv Funct Mater, 2018, 28: 1800854","journal-title":"Adv Funct Mater"},{"key":"3888_CR5","doi-asserted-by":"publisher","first-page":"6649","DOI":"10.1039\/C7NR00934H","volume":"9","author":"Y X Zhou","year":"2017","unstructured":"Zhou Y X, Li Y, Su Y T, et al. Nonvolatile reconfigurable sequential logic in a HfO2 resistive random access memory array. Nanoscale, 2017, 9: 6649\u20136657","journal-title":"Nanoscale"},{"key":"3888_CR6","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1038\/s41928-020-00501-9","volume":"3","author":"F Zhou","year":"2020","unstructured":"Zhou F, Chai Y. Near-sensor and in-sensor computing. Nat Electron, 2020, 3: 664\u2013671","journal-title":"Nat Electron"},{"key":"3888_CR7","doi-asserted-by":"crossref","unstructured":"Wan T, Shao B, Ma S, et al. In-sensor computing: materials, devices, and integration technologies. Adv Mater, 2023, 35","DOI":"10.1002\/adma.202203830"},{"key":"3888_CR8","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1038\/nmat4856","volume":"16","author":"Y van de Burgt","year":"2017","unstructured":"van de Burgt Y, Lubberman E, Fuller E J, et al. A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing. Nat Mater, 2017, 16: 414\u2013418","journal-title":"Nat Mater"},{"key":"3888_CR9","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1038\/s41563-019-0291-x","volume":"18","author":"Q Xia","year":"2019","unstructured":"Xia Q, Yang J J. Memristive crossbar arrays for brain-inspired computing. Nat Mater, 2019, 18: 309\u2013323","journal-title":"Nat Mater"},{"key":"3888_CR10","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1038\/s41586-018-0361-2","volume":"560","author":"A Radovic","year":"2018","unstructured":"Radovic A, Williams M, Rousseau D, et al. Machine learning at the energy and intensity frontiers of particle physics. Nature, 2018, 560: 41\u201348","journal-title":"Nature"},{"key":"3888_CR11","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.1038\/s41565-021-00943-y","volume":"16","author":"C Wang","year":"2021","unstructured":"Wang C, Liang S J, Wang C Y, et al. Scalable massively parallel computing using continuous-time data representation in nanoscale crossbar array. Nat Nanotechnol, 2021, 16: 1079\u20131085","journal-title":"Nat Nanotechnol"},{"key":"3888_CR12","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1038\/nature12083","volume":"497","author":"Y M Song","year":"2013","unstructured":"Song Y M, Xie Y, Malyarchuk V, et al. Digital cameras with designs inspired by the arthropod eye. Nature, 2013, 497: 95\u201399","journal-title":"Nature"},{"key":"3888_CR13","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1126\/science.aao0098","volume":"360","author":"Y Kim","year":"2018","unstructured":"Kim Y, Chortos A, Xu W, et al. A bioinspired flexible organic artificial afferent nerve. Science, 2018, 360: 998\u20131003","journal-title":"Science"},{"key":"3888_CR14","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1038\/nn0901-877","volume":"4","author":"R H Masland","year":"2001","unstructured":"Masland R H. The fundamental plan of the retina. Nat Neurosci, 2001, 4: 877\u2013886","journal-title":"Nat Neurosci"},{"key":"3888_CR15","doi-asserted-by":"publisher","first-page":"2279","DOI":"10.1016\/S0031-3203(01)00178-9","volume":"35","author":"M Egmont-Petersen","year":"2002","unstructured":"Egmont-Petersen M, de Ridder D, Handels H. Image processing with neural networks-a review. Pattern Recogn, 2002, 35: 2279\u20132301","journal-title":"Pattern Recogn"},{"key":"3888_CR16","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.neuron.2009.12.009","volume":"65","author":"T Gollisch","year":"2010","unstructured":"Gollisch T, Meister M. Eye smarter than scientists believed: neural computations in circuits of the retina. Neuron, 2010, 65: 150\u2013164","journal-title":"Neuron"},{"key":"3888_CR17","doi-asserted-by":"publisher","first-page":"1702902","DOI":"10.1002\/adma.201702902","volume":"29","author":"W Lee","year":"2017","unstructured":"Lee W, Lee J, Yun H, et al. High-resolution spin-on-patterning of perovskite thin films for a multiplexed image sensor array. Adv Mater, 2017, 29: 1702902","journal-title":"Adv Mater"},{"key":"3888_CR18","doi-asserted-by":"publisher","first-page":"1801181","DOI":"10.1002\/adma.201801181","volume":"30","author":"L Zhang","year":"2018","unstructured":"Zhang L, Pasthukova N, Yao Y, et al. Self-suspended nanomesh scaffold for ultrafast flexible photodetectors based on organic semiconducting crystals. Adv Mater, 2018, 30: 1801181","journal-title":"Adv Mater"},{"key":"3888_CR19","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1126\/science.149.3688.1115","volume":"149","author":"C McCollough","year":"1965","unstructured":"McCollough C. Color adaptation of edge-detectors in the human visual system. Science, 1965, 149: 1115\u20131116","journal-title":"Science"},{"key":"3888_CR20","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1146\/annurev-vision-091718-014926","volume":"5","author":"T Baden","year":"2019","unstructured":"Baden T, Osorio D. The retinal basis of vertebrate color vision. Annu Rev Vis Sci, 2019, 5: 177\u2013200","journal-title":"Annu Rev Vis Sci"},{"key":"3888_CR21","doi-asserted-by":"publisher","first-page":"2491","DOI":"10.1364\/JOSAA.10.002491","volume":"10","author":"A Stockman","year":"1993","unstructured":"Stockman A, MacLeod D I A, Johnson N E. Spectral sensitivities of the human cones. J Opt Soc Am A, 1993, 10: 2491\u20132521","journal-title":"J Opt Soc Am A"},{"key":"3888_CR22","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1511\/2003.11.28","volume":"91","author":"H Kolb","year":"2003","unstructured":"Kolb H. How the retina works. Am Sci, 2003, 91: 28\u201335","journal-title":"Am Sci"},{"key":"3888_CR23","volume-title":"Principles of Neural Science","author":"E Kandel","year":"2014","unstructured":"Kandel E, Schwartz J, Jessell T, et al. Low-level visual processing: the retina. In: Principles of Neural Science. 5th ed. Columbus: McGraw-Hill Education, 2014","edition":"5th ed"},{"key":"3888_CR24","doi-asserted-by":"publisher","first-page":"927","DOI":"10.1007\/s00359-010-0576-7","volume":"196","author":"J R Gray","year":"2010","unstructured":"Gray J R, Blincow E, Robertson R M. A pair of motion-sensitive neurons in the locust encode approaches of a looming object. J Comp Physiol A, 2010, 196: 927\u2013938","journal-title":"J Comp Physiol A"},{"key":"3888_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1146\/annurev-neuro-061010-113632","volume":"34","author":"H Fotowat","year":"2011","unstructured":"Fotowat H, Gabbiani F. Collision detection as a model for sensory-motor integration. Annu Rev Neurosci, 2011, 34: 1\u201319","journal-title":"Annu Rev Neurosci"},{"key":"3888_CR26","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/BF00609703","volume":"95","author":"R M Glantz","year":"1974","unstructured":"Glantz R M. Defense reflex and motion detector responsiveness to approaching targets: The motion detector trigger to the defense reflex pathway. J Comp Physiol, 1974, 95: 297\u2013314","journal-title":"J Comp Physiol"},{"key":"3888_CR27","doi-asserted-by":"publisher","first-page":"2333","DOI":"10.1109\/TCSVT.2016.2587387","volume":"27","author":"T Chen","year":"2017","unstructured":"Chen T, Lu S. Object-level motion detection from moving cameras. IEEE Trans Circ Syst Video Technol, 2017, 27: 2333\u20132343","journal-title":"IEEE Trans Circ Syst Video Technol"},{"key":"3888_CR28","doi-asserted-by":"crossref","unstructured":"Choo K, Xu L, Kim Y, et al. Energy-efficient low-noise CMOS image sensor with capacitor array-assisted charge-injection SAR ADC for motion-triggered low-power IoT applications. In: Proceedings of IEEE International Solid-State Circuits Conference, San Francisco, 2019","DOI":"10.1109\/JSSC.2019.2939664"},{"key":"3888_CR29","doi-asserted-by":"publisher","first-page":"1705400","DOI":"10.1002\/adma.201705400","volume":"30","author":"S Chen","year":"2018","unstructured":"Chen S, Lou Z, Chen D, et al. An artificial flexible visual memory system based on an UV-motivated memristor. Adv Mater, 2018, 30: 1705400","journal-title":"Adv Mater"},{"key":"3888_CR30","doi-asserted-by":"publisher","first-page":"2005582","DOI":"10.1002\/adfm.202005582","volume":"31","author":"L Hu","year":"2021","unstructured":"Hu L, Yang J, Wang J, et al. All-optically controlled memristor for optoelectronic neuromorphic computing. Adv Funct Mater, 2021, 31: 2005582","journal-title":"Adv Funct Mater"},{"key":"3888_CR31","doi-asserted-by":"publisher","first-page":"2005443","DOI":"10.1002\/adfm.202005443","volume":"31","author":"G Cao","year":"2021","unstructured":"Cao G, Meng P, Chen J, et al. 2D material based synaptic devices for neuromorphic computing. Adv Funct Mater, 2021, 31: 2005443","journal-title":"Adv Funct Mater"},{"key":"3888_CR32","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1038\/s41565-020-0724-3","volume":"15","author":"C Liu","year":"2020","unstructured":"Liu C, Chen H, Wang S, et al. Two-dimensional materials for next-generation computing technologies. Nat Nanotechnol, 2020, 15: 545\u2013557","journal-title":"Nat Nanotechnol"},{"key":"3888_CR33","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1038\/s41928-022-00747-5","volume":"5","author":"L Pi","year":"2022","unstructured":"Pi L, Wang P, Liang S J, et al. Broadband convolutional processing using band-alignment-tunable heterostructures. Nat Electron, 2022, 5: 248\u2013254","journal-title":"Nat Electron"},{"key":"3888_CR34","doi-asserted-by":"publisher","first-page":"17319","DOI":"10.1021\/acsnano.1c04676","volume":"15","author":"Y Pei","year":"2021","unstructured":"Pei Y, Yan L, Wu Z, et al. Artificial visual perception nervous system based on low-dimensional material photoelectric memristors. ACS Nano, 2021, 15: 17319\u201317326","journal-title":"ACS Nano"},{"key":"3888_CR35","doi-asserted-by":"publisher","first-page":"1803961","DOI":"10.1002\/adma.201803961","volume":"30","author":"H Wang","year":"2018","unstructured":"Wang H, Zhao Q, Ni Z, et al. A ferroelectric\/electrochemical modulated organic synapse for ultraflexible, artificial visual-perception system. Adv Mater, 2018, 30: 1803961","journal-title":"Adv Mater"},{"key":"3888_CR36","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1038\/s41928-021-00615-8","volume":"4","author":"Z He","year":"2021","unstructured":"He Z, Shen H, Ye D, et al. An organic transistor with light intensity-dependent active photoadaptation. Nat Electron, 2021, 4: 522\u2013529","journal-title":"Nat Electron"},{"key":"3888_CR37","doi-asserted-by":"publisher","first-page":"1707","DOI":"10.1038\/s41467-022-29364-8","volume":"13","author":"B Cui","year":"2022","unstructured":"Cui B, Fan Z, Li W, et al. Ferroelectric photosensor network: an advanced hardware solution to real-time machine vision. Nat Commun, 2022, 13: 1707","journal-title":"Nat Commun"},{"key":"3888_CR38","doi-asserted-by":"publisher","first-page":"160404","DOI":"10.1007\/s11432-022-3695-1","volume":"66","author":"T Yan","year":"2023","unstructured":"Yan T, Cai Y C, Wang Y R, et al. Near-infrared optoelectronic synapses based on a Te\/\u03b1-In2Se3 heterojunction for neuromorphic computing. Sci China Inf Sci, 2023, 66: 160404","journal-title":"Sci China Inf Sci"},{"key":"3888_CR39","doi-asserted-by":"publisher","first-page":"100044","DOI":"10.1016\/j.chip.2023.100044","volume":"2","author":"Z Wang","year":"2023","unstructured":"Wang Z, Zhou X, Liu X, et al. Van der Waals ferroelectric transistors: the all-round artificial synapses for high-precision neuromorphic computing. Chip, 2023, 2: 100044","journal-title":"Chip"},{"key":"3888_CR40","doi-asserted-by":"publisher","first-page":"070702","DOI":"10.1063\/5.0096053","volume":"10","author":"C Yoo","year":"2022","unstructured":"Yoo C, Ko T J, Kaium M G, et al. A minireview on 2D materials-enabled optoelectronic artificial synaptic devices. APL Mater, 2022, 10: 070702","journal-title":"APL Mater"},{"key":"3888_CR41","doi-asserted-by":"publisher","first-page":"160401","DOI":"10.1007\/s11432-023-3744-2","volume":"66","author":"Z R Peng","year":"2023","unstructured":"Peng Z R, Lin R F, Li Z, et al. Two-dimensional materials-based integrated hardware. Sci China Inf Sci, 2023, 66: 160401","journal-title":"Sci China Inf Sci"},{"key":"3888_CR42","doi-asserted-by":"publisher","first-page":"2209781","DOI":"10.1002\/adfm.202209781","volume":"33","author":"Y Chen","year":"2023","unstructured":"Chen Y, Kang Y, Hao H, et al. All two-dimensional integration-type optoelectronic synapse mimicking visual attention mechanism for multi-target recognition. Adv Funct Mater, 2023, 33: 2209781","journal-title":"Adv Funct Mater"},{"key":"3888_CR43","doi-asserted-by":"publisher","first-page":"6173","DOI":"10.1126\/sciadv.aba6173","volume":"6","author":"C Y Wang","year":"2020","unstructured":"Wang C Y, Liang S J, Wang S, et al. Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor. Sci Adv, 2020, 6: 6173","journal-title":"Sci Adv"},{"key":"3888_CR44","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1038\/s41565-019-0501-3","volume":"14","author":"F Zhou","year":"2019","unstructured":"Zhou F, Zhou Z, Chen J, et al. Optoelectronic resistive random access memory for neuromorphic vision sensors. Nat Nanotechnol, 2019, 14: 776\u2013782","journal-title":"Nat Nanotechnol"},{"key":"3888_CR45","doi-asserted-by":"publisher","first-page":"2206816","DOI":"10.1002\/adma.202206816","volume":"34","author":"Y Tan","year":"2022","unstructured":"Tan Y, Hao H, Chen Y, et al. A bioinspired retinomorphic device for spontaneous chromatic adaptation. Adv Mater, 2022, 34: 2206816","journal-title":"Adv Mater"},{"key":"3888_CR46","doi-asserted-by":"publisher","first-page":"5106","DOI":"10.1038\/s41467-018-07572-5","volume":"9","author":"S Seo","year":"2018","unstructured":"Seo S, Jo S H, Kim S, et al. Artificial optic-neural synapse for colored and color-mixed pattern recognition. Nat Commun, 2018, 9: 5106","journal-title":"Nat Commun"},{"key":"3888_CR47","doi-asserted-by":"publisher","first-page":"2000107","DOI":"10.1002\/aisy.202000107","volume":"2","author":"D Li","year":"2020","unstructured":"Li D, Li C, Ilyas N, et al. Color-recognizing Si-based photonic synapse for artificial visual system. Adv Intell Syst, 2020, 2: 2000107","journal-title":"Adv Intell Syst"},{"key":"3888_CR48","doi-asserted-by":"publisher","first-page":"2212917","DOI":"10.1002\/adfm.202212917","volume":"33","author":"Y Cai","year":"2023","unstructured":"Cai Y, Wang F, Wang X, et al. Broadband visual adaption and image recognition in a monolithic neuromorphic machine vision system. Adv Funct Mater, 2023, 33: 2212917","journal-title":"Adv Funct Mater"},{"key":"3888_CR49","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1038\/s41928-022-00713-1","volume":"5","author":"F Liao","year":"2022","unstructured":"Liao F, Zhou Z, Kim B J, et al. Bioinspired in-sensor visual adaptation for accurate perception. Nat Electron, 2022, 5: 84\u201391","journal-title":"Nat Electron"},{"key":"3888_CR50","doi-asserted-by":"publisher","first-page":"1906433","DOI":"10.1002\/adma.201906433","volume":"31","author":"S M Kwon","year":"2019","unstructured":"Kwon S M, Cho S W, Kim M, et al. Environment-adaptable artificial visual perception behaviors using a light-adjustable optoelectronic neuromorphic device array. Adv Mater, 2019, 31: 1906433","journal-title":"Adv Mater"},{"key":"3888_CR51","doi-asserted-by":"publisher","first-page":"nwaa172","DOI":"10.1093\/nsr\/nwaa172","volume":"8","author":"S Wang","year":"2021","unstructured":"Wang S, Wang C Y, Wang P, et al. Networking retinomorphic sensor with memristive crossbar for brain-inspired visual perception. Natl Sci Rev, 2021, 8: nwaa172","journal-title":"Natl Sci Rev"},{"key":"3888_CR52","doi-asserted-by":"publisher","first-page":"882","DOI":"10.1038\/s41565-023-01379-2","volume":"18","author":"J Chen","year":"2023","unstructured":"Chen J, Zhou Z, Kim B J, et al. Optoelectronic graded neurons for bioinspired in-sensor motion perception. Nat Nanotechnol, 2023, 18: 882\u2013888","journal-title":"Nat Nanotechnol"},{"key":"3888_CR53","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1038\/s41565-021-01003-1","volume":"17","author":"Z Zhang","year":"2022","unstructured":"Zhang Z, Wang S, Liu C, et al. All-in-one two-dimensional retinomorphic hardware device for motion detection and recognition. Nat Nanotechnol, 2022, 17: 27\u201332","journal-title":"Nat Nanotechnol"},{"key":"3888_CR54","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.conb.2019.06.001","volume":"58","author":"Z P Li","year":"2019","unstructured":"Li Z P. A new framework for understanding vision from the perspective of the primary visual cortex. Curr Opin Neurobiol, 2019, 58: 1\u201310","journal-title":"Curr Opin Neurobiol"},{"key":"3888_CR55","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/B978-0-12-373889-9.50006-1","volume-title":"The Brain","author":"C Watson","year":"2010","unstructured":"Watson C, Kirkcaldie M, Paxinos G. Gathering information-the sensory systems. In: The Brain. Sydney: Elsevier, 2010. 75\u201396"},{"key":"3888_CR56","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/B978-1-4377-1926-0.10013-X","volume-title":"Clinical Anatomy and Physiology of the Visual System","author":"L A Remington","year":"2012","unstructured":"Remington L A. Visual pathway. In: Clinical Anatomy and Physiology of the Visual System. Sydney: Elsevier, 2012. 233\u2013252"},{"key":"3888_CR57","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/B978-0-12-374203-2.00201-3","volume-title":"Encyclopedia of the Eye","author":"K R Alexander","year":"2010","unstructured":"Alexander K R. Information processing: retinal adaptation. In: Encyclopedia of the Eye. New York: Academic Press, 2010, 379\u2013386"},{"key":"3888_CR58","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1017\/S0952523802191097","volume":"19","author":"X Xu","year":"2002","unstructured":"Xu X, Ichida J, Shostak Y, et al. Are primate lateral geniculate nucleus (LGN) cells really sensitive to orientation or direction? Vis Neurosci, 2002, 19: 97\u2013108","journal-title":"Vis Neurosci"},{"key":"3888_CR59","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1167\/10.8.1","volume":"10","author":"C Tailby","year":"2010","unstructured":"Tailby C, Dobbie W J, Solomon S G, et al. Receptive field asymmetries produce color-dependent direction selectivity in primate lateral geniculate nucleus. J Vision, 2010, 10: 1","journal-title":"J Vision"},{"key":"3888_CR60","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1038\/nm.3851","volume":"21","author":"H Lorach","year":"2015","unstructured":"Lorach H, Goetz G, Smith R, et al. Photovoltaic restoration of sight with high visual acuity. Nat Med, 2015, 21: 476\u2013482","journal-title":"Nat Med"},{"key":"3888_CR61","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1038\/s41586-023-05863-6","volume":"615","author":"T Gruhl","year":"2023","unstructured":"Gruhl T, Weinert T, Rodrigues M J, et al. Ultrafast structural changes direct the first molecular events of vision. Nature, 2023, 615: 939\u2013944","journal-title":"Nature"},{"key":"3888_CR62","doi-asserted-by":"publisher","first-page":"6651","DOI":"10.1167\/iovs.14-15502","volume":"55","author":"K Palczewski","year":"2014","unstructured":"Palczewski K. Chemistry and biology of the initial steps in vision: the friedenwald lecture. Invest Ophthalmol Vis Sci, 2014, 55: 6651","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"3888_CR63","first-page":"89","volume":"220","author":"G Buchsbaum","year":"1997","unstructured":"Buchsbaum G, Gottschalk A, Barlow H B. Trichromacy, opponent colours coding and optimum colour information transmission in the retina. Proc Royal Soc London Ser B Biol Sci, 1997, 220: 89\u2013113","journal-title":"Proc Royal Soc London Ser B Biol Sci"},{"key":"3888_CR64","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/B978-012370880-9.00271-1","volume-title":"The Senses: A Comprehensive Reference","author":"M A Freed","year":"2008","unstructured":"Freed M A. Contributions of bipolar cells to ganglion cell receptive fields. In: The Senses: A Comprehensive Reference. Orlando: Academic Press, 2008. 351\u2013359"},{"key":"3888_CR65","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.neuron.2012.10.002","volume":"76","author":"R H Masland","year":"2012","unstructured":"Masland R H. The neuronal organization of the retina. Neuron, 2012, 76: 266\u2013280","journal-title":"Neuron"},{"key":"3888_CR66","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1113\/jphysiol.1962.sp006837","volume":"160","author":"D H Hubel","year":"1962","unstructured":"Hubel D H, Wiesel T N. Receptive fields, binocular interaction and functional architecture in the cat\u2019s visual cortex. J Physiol, 1962, 160: 106\u2013154","journal-title":"J Physiol"},{"key":"3888_CR67","doi-asserted-by":"publisher","first-page":"1651","DOI":"10.1364\/JOSAA.3.001651","volume":"3","author":"D H Brainard","year":"1986","unstructured":"Brainard D H, Wandell B A. Analysis of the retinex theory of color vision. J Opt Soc Am A, 1986, 3: 1651\u20131661","journal-title":"J Opt Soc Am A"},{"key":"3888_CR68","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1364\/JOSAA.3.000029","volume":"3","author":"L T Maloney","year":"1986","unstructured":"Maloney L T, Wandell B A. Color constancy: a method for recovering surface spectral reflectance. J Opt Soc Am A, 1986, 3: 29\u201333","journal-title":"J Opt Soc Am A"},{"key":"3888_CR69","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.visres.2014.10.005","volume":"104","author":"A Werner","year":"2014","unstructured":"Werner A. Spatial and temporal aspects of chromatic adaptation and their functional significance for colour constancy. Vision Res, 2014, 104: 80\u201389","journal-title":"Vision Res"},{"key":"3888_CR70","doi-asserted-by":"publisher","first-page":"3193","DOI":"10.1016\/S0042-6989(98)00060-1","volume":"38","author":"A Stockman","year":"1998","unstructured":"Stockman A, Sharpe L T. Human cone spectral sensitivities: a progress report. Vision Res, 1998, 38: 3193\u20133206","journal-title":"Vision Res"},{"key":"3888_CR71","volume-title":"Colour Measurement","author":"P V Viqueira","year":"2010","unstructured":"Viqueira P V, De F S, Martinez V F. Colour vision: theories and principles. In: Colour Measurement. Sawston Cambridge: Woodhead Publishing, 2010"},{"key":"3888_CR72","first-page":"214","volume-title":"Principles of Colour and Appearance Measurement","author":"C A Roy","year":"2015","unstructured":"Roy C A. Chromatic adaptation and colour constancy. In: Principles of Colour and Appearance Measurement. Amsterdam: Elsevier, 2015. 214\u2013264"},{"key":"3888_CR73","doi-asserted-by":"publisher","first-page":"1418","DOI":"10.1152\/jn.1978.41.6.1418","volume":"41","author":"F M de Monasterio","year":"1978","unstructured":"de Monasterio F M. Center and surround mechanisms of opponent-color X and Y ganglion cells of retina of macaques. J NeuroPhysiol, 1978, 41: 1418\u20131434","journal-title":"J NeuroPhysiol"},{"key":"3888_CR74","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1113\/jphysiol.1980.sp013097","volume":"298","author":"J K Bowmaker","year":"1980","unstructured":"Bowmaker J K, Dartnall H J. Visual pigments of rods and cones in a human retina. J Physiol, 1980, 298: 501\u2013511","journal-title":"J Physiol"},{"key":"3888_CR75","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1113\/jphysiol.1958.sp005978","volume":"141","author":"H B Barlow","year":"1958","unstructured":"Barlow H B. Temporal and spatial summation in human vision at different background intensities. J Physiol, 1958, 141: 337\u2013350","journal-title":"J Physiol"},{"key":"3888_CR76","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1038\/s41928-021-00618-5","volume":"4","author":"J Jie","year":"2021","unstructured":"Jie J, Deng W, Zhang X, et al. A phototransistor with visual adaptation. Nat Electron, 2021, 4: 460\u2013461","journal-title":"Nat Electron"},{"key":"3888_CR77","volume-title":"Webvision: The Organization of the Retina and Visual System","author":"H Kolb","year":"1995","unstructured":"Kolb H, Fernandez E, Nelson R. Webvision: The Organization of the Retina and Visual System. Lombardy: University of Utah Health Sciences Center, 1995"},{"key":"3888_CR78","doi-asserted-by":"publisher","DOI":"10.1117\/3.903927","volume-title":"High Dynamic Range Imaging: Sensors and Architectures","author":"A Darmont","year":"2013","unstructured":"Darmont A. High Dynamic Range Imaging: Sensors and Architectures. Bellingham: SPIE, 2013"},{"key":"3888_CR79","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/S0167-2789(02)00734-0","volume":"175","author":"J Shen","year":"2003","unstructured":"Shen J. On the foundations of vision modeling. Phys D-NOnlinear Phenomena, 2003, 175: 241\u2013251","journal-title":"Phys D-NOnlinear Phenomena"},{"key":"3888_CR80","doi-asserted-by":"publisher","first-page":"1470","DOI":"10.1109\/JPROC.2014.2346153","volume":"102","author":"C Posch","year":"2014","unstructured":"Posch C, Serrano-Gotarredona T, Linares-Barranco B, et al. Retinomorphic event-based vision sensors: bioinspired cameras with spiking output. Proc IEEE, 2014, 102: 1470\u20131484","journal-title":"Proc IEEE"},{"key":"3888_CR81","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1038\/44291","volume":"401","author":"E K Miller","year":"1999","unstructured":"Miller E K. Straight from the top. Nature, 1999, 401: 650\u2013651","journal-title":"Nature"},{"key":"3888_CR82","doi-asserted-by":"publisher","first-page":"643597","DOI":"10.3389\/fnins.2021.643597","volume":"15","author":"D E L Lockhofen","year":"2021","unstructured":"Lockhofen D E L, Mulert C. Neurochemistry of visual attention. Front Neurosci, 2021, 15: 643597","journal-title":"Front Neurosci"},{"key":"3888_CR83","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1111\/j.0963-7214.2006.00422.x","volume":"15","author":"D R Proffitt","year":"2006","unstructured":"Proffitt D R. Distance perception. Curr Dir Psychol Sci, 2006, 15: 131\u2013135","journal-title":"Curr Dir Psychol Sci"},{"key":"3888_CR84","doi-asserted-by":"publisher","first-page":"2502","DOI":"10.1242\/jeb.143883","volume":"220","author":"V Nityananda","year":"2017","unstructured":"Nityananda V, Read J C A. Stereopsis in animals: evolution, function and mechanisms. J Exp Biol, 2017, 220: 2502\u20132512","journal-title":"J Exp Biol"},{"key":"3888_CR85","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/B978-008045046-9.00236-9","volume-title":"Encyclopedia of Neuroscience","author":"A J Parker","year":"2009","unstructured":"Parker A J. Stereoscopic vision. In: Encyclopedia of Neuroscience. Orlando: Academic Press, 2009. 411\u2013417"},{"key":"3888_CR86","doi-asserted-by":"publisher","first-page":"e04904","DOI":"10.1016\/j.heliyon.2020.e04904","volume":"6","author":"I Iehisa","year":"2020","unstructured":"Iehisa I, Ayaki M, Tsubota K, et al. Factors affecting depth perception and comparison of depth perception measured by the three-rods test in monocular and binocular vision. Heliyon, 2020, 6: e04904","journal-title":"Heliyon"},{"key":"3888_CR87","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1007\/s10237-021-01417-9","volume":"20","author":"K R Knaus","year":"2021","unstructured":"Knaus K R, Hipsley A M, Blemker S S. The action of ciliary muscle contraction on accommodation of the lens explored with a 3D model. Biomech Model Mechanobiol, 2021, 20: 879\u2013894","journal-title":"Biomech Model Mechanobiol"},{"key":"3888_CR88","doi-asserted-by":"publisher","first-page":"5501","DOI":"10.1364\/OL.440057","volume":"46","author":"H Hao","year":"2021","unstructured":"Hao H, Kang Y, Xu Z, et al. Neuromorphology in-sensor computing architecture based on an optical Fourier transform. Opt Lett, 2021, 46: 5501\u20135504","journal-title":"Opt Lett"},{"key":"3888_CR89","doi-asserted-by":"publisher","first-page":"1902434","DOI":"10.1002\/adma.201902434","volume":"32","author":"C Wan","year":"2020","unstructured":"Wan C, Cai P, Wang M, et al. Artificial sensory memory. Adv Mater, 2020, 32: 1902434","journal-title":"Adv Mater"},{"key":"3888_CR90","doi-asserted-by":"crossref","unstructured":"Yang Q, Luo Z, Zhang D, et al. Controlled optoelectronic response in van der Waals heterostructures for in-sensor computing. Adv Funct Mater, 2022, 32","DOI":"10.1002\/adfm.202207290"},{"key":"3888_CR91","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1016\/j.jmat.2023.02.007","volume":"9","author":"Y Kang","year":"2023","unstructured":"Kang Y, Chen Y, Tan Y, et al. Bioinspired activation of silent synapses in layered materials for extensible neuromorphic computing. J Materiomics, 2023, 9: 787\u2013797","journal-title":"J Materiomics"},{"key":"3888_CR92","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1038\/s41586-020-1942-4","volume":"577","author":"P Yao","year":"2020","unstructured":"Yao P, Wu H, Gao B, et al. Fully hardware-implemented memristor convolutional neural network. Nature, 2020, 577: 641\u2013646","journal-title":"Nature"},{"key":"3888_CR93","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1038\/s41586-019-1424-8","volume":"572","author":"J Pei","year":"2019","unstructured":"Pei J, Deng L, Song S, et al. Towards artificial general intelligence with hybrid Tianjic chip architecture. Nature, 2019, 572: 106\u2013111","journal-title":"Nature"},{"key":"3888_CR94","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1038\/s41586-022-04992-8","volume":"608","author":"W Wan","year":"2022","unstructured":"Wan W, Kubendran R, Schaefer C, et al. A compute-in-memory chip based on resistive random-access memory. Nature, 2022, 608: 504\u2013512","journal-title":"Nature"},{"key":"3888_CR95","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1038\/s41928-022-00795-x","volume":"5","author":"Q Huo","year":"2022","unstructured":"Huo Q, Yang Y, Wang Y, et al. A computing-in-memory macro based on three-dimensional resistive random-access memory. Nat Electron, 2022, 5: 469\u2013477","journal-title":"Nat Electron"},{"key":"3888_CR96","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1109\/JSSC.2019.2960488","volume":"55","author":"B Zimmer","year":"2020","unstructured":"Zimmer B, Venkatesan R, Shao Y S, et al. A 0.32-128 TOPS, scalable multi-chip-module-based deep neural network inference accelerator with ground-referenced signaling in 16 nm. IEEE J Solid-State Circ, 2020, 55: 920\u2013932","journal-title":"IEEE J Solid-State Circ"},{"key":"3888_CR97","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1038\/s41928-023-00977-1","volume":"6","author":"N J Tye","year":"2023","unstructured":"Tye N J, Hofmann S, Stanley-Marbell P. Materials and devices as solutions to computational problems in machine learning. Nat Electron, 2023, 6: 479\u2013490","journal-title":"Nat Electron"},{"key":"3888_CR98","doi-asserted-by":"publisher","first-page":"4074","DOI":"10.1109\/TVT.2019.2900460","volume":"68","author":"Y Wang","year":"2019","unstructured":"Wang Y, Liu M, Yang J, et al. Data-driven deep learning for automatic modulation recognition in cognitive radios. IEEE Trans Veh Technol, 2019, 68: 4074\u20134077","journal-title":"IEEE Trans Veh Technol"},{"key":"3888_CR99","doi-asserted-by":"publisher","first-page":"2281","DOI":"10.1038\/s41467-023-37973-0","volume":"14","author":"T Jiang","year":"2023","unstructured":"Jiang T, Wang Y, Zheng Y, et al. Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection. Nat Commun, 2023, 14: 2281","journal-title":"Nat Commun"},{"key":"3888_CR100","doi-asserted-by":"publisher","first-page":"1906899","DOI":"10.1002\/adma.201906899","volume":"32","author":"H Park","year":"2020","unstructured":"Park H, Kim H, Lim D, et al. Retina-inspired carbon nitride-based photonic synapses for selective detection of UV light. Adv Mater, 2020, 32: 1906899","journal-title":"Adv Mater"},{"key":"3888_CR101","doi-asserted-by":"publisher","first-page":"eabq3101","DOI":"10.1126\/sciadv.abq3101","volume":"8","author":"H Seung","year":"2022","unstructured":"Seung H, Choi C, Kim D C, et al. Integration of synaptic phototransistors and quantum dot light-emitting diodes for visualization and recognition of UV patterns. Sci Adv, 2022, 8: eabq3101","journal-title":"Sci Adv"},{"key":"3888_CR102","doi-asserted-by":"publisher","first-page":"2002325","DOI":"10.1002\/adfm.202002325","volume":"30","author":"W Qiu","year":"2020","unstructured":"Qiu W, Huang Y, Kong L, et al. Optoelectronic In-Ga-Zn-O memtransistors for artificial vision system. Adv Funct Mater, 2020, 30: 2002325","journal-title":"Adv Funct Mater"},{"key":"3888_CR103","doi-asserted-by":"publisher","first-page":"105246","DOI":"10.1016\/j.nanoen.2020.105246","volume":"78","author":"X Yang","year":"2020","unstructured":"Yang X, Xiong Z, Chen Y, et al. A self-powered artificial retina perception system for image preprocessing based on photovoltaic devices and memristive arrays. Nano Energy, 2020, 78: 105246","journal-title":"Nano Energy"},{"key":"3888_CR104","doi-asserted-by":"publisher","first-page":"2104632","DOI":"10.1002\/advs.202104632","volume":"9","author":"X Shan","year":"2022","unstructured":"Shan X, Zhao C, Wang X, et al. Plasmonic optoelectronic memristor enabling fully light-modulated synaptic plasticity for neuromorphic vision. Adv Sci, 2022, 9: 2104632","journal-title":"Adv Sci"},{"key":"3888_CR105","doi-asserted-by":"publisher","first-page":"1379","DOI":"10.1038\/s41563-022-01398-9","volume":"21","author":"A Dodda","year":"2022","unstructured":"Dodda A, Jayachandran D, Pannone A, et al. Active pixel sensor matrix based on monolayer MoS2 phototransistor array. Nat Mater, 2022, 21: 1379\u20131387","journal-title":"Nat Mater"},{"key":"3888_CR106","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1038\/s41928-017-0002-z","volume":"1","author":"C Li","year":"2018","unstructured":"Li C, Hu M, Li Y, et al. Analogue signal and image processing with large memristor crossbars. Nat Electron, 2018, 1: 52\u201359","journal-title":"Nat Electron"},{"key":"3888_CR107","doi-asserted-by":"publisher","first-page":"2002431","DOI":"10.1002\/adma.202002431","volume":"32","author":"H Jang","year":"2020","unstructured":"Jang H, Liu C, Hinton H, et al. An atomically thin optoelectronic machine vision processor. Adv Mater, 2020, 32: 2002431","journal-title":"Adv Mater"},{"key":"3888_CR108","doi-asserted-by":"crossref","unstructured":"Dang B, Liu K, Wu X, et al. One-phototransistor-one-memristor array with high-linearity light-tunable weight for optic neuromorphic computing. Adv Mater, 2023, 35","DOI":"10.1002\/adma.202204844"},{"key":"3888_CR109","doi-asserted-by":"publisher","first-page":"5934","DOI":"10.1038\/s41467-020-19806-6","volume":"11","author":"C Choi","year":"2020","unstructured":"Choi C, Leem J, Kim M, et al. Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system. Nat Commun, 2020, 11: 5934","journal-title":"Nat Commun"},{"key":"3888_CR110","doi-asserted-by":"publisher","first-page":"2202123","DOI":"10.1002\/advs.202202123","volume":"9","author":"Y Li","year":"2022","unstructured":"Li Y, Wang J, Yang Q, et al. Flexible artificial optoelectronic synapse based on lead-free metal halide nanocrystals for neuromorphic computing and color recognition. Adv Sci, 2022, 9: 2202123","journal-title":"Adv Sci"},{"key":"3888_CR111","doi-asserted-by":"publisher","first-page":"2108014","DOI":"10.1002\/adfm.202108014","volume":"32","author":"F Guo","year":"2022","unstructured":"Guo F, Song M, Wong M, et al. Multifunctional optoelectronic synapse based on ferroelectric van der Waals heterostructure for emulating the entire human visual system. Adv Funct Mater, 2022, 32: 2108014","journal-title":"Adv Funct Mater"},{"key":"3888_CR112","doi-asserted-by":"publisher","first-page":"9796","DOI":"10.1021\/acsnano.0c01689","volume":"14","author":"S Hong","year":"2020","unstructured":"Hong S, Choi S H, Park J, et al. Sensory adaptation and neuromorphic phototransistors based on CsPb(Br1\u2212xIx)3 perovskite and MoS2 hybrid structure. ACS Nano, 2020, 14: 9796\u20139806","journal-title":"ACS Nano"},{"key":"3888_CR113","doi-asserted-by":"publisher","first-page":"2010655","DOI":"10.1002\/adfm.202010655","volume":"31","author":"D Xie","year":"2021","unstructured":"Xie D, Wei L, Xie M, et al. Photoelectric visual adaptation based on 0D-CsPbBr3-quantum-dots\/2D-MoS2 mixed-dimensional heterojunction transistor. Adv Funct Mater, 2021, 31: 2010655","journal-title":"Adv Funct Mater"},{"key":"3888_CR114","doi-asserted-by":"crossref","unstructured":"Xie D, Gao G, Tian B, et al. Porous metal-organic framework\/ReS2 heterojunction phototransistor for polarization-sensitive visual adaptation emulation. Adv Mater, 2023, 35","DOI":"10.1002\/adma.202212118"},{"key":"3888_CR115","doi-asserted-by":"publisher","DOI":"10.1201\/9781420019155","volume-title":"Smart CMOS Image Sensors and Applications","author":"J O Ohta","year":"2017","unstructured":"Ohta J O. Smart CMOS Image Sensors and Applications. 2nd ed. Boca Raton: CRC Press, 2017","edition":"2nd ed"},{"key":"3888_CR116","doi-asserted-by":"publisher","first-page":"2000122","DOI":"10.1002\/aisy.202000122","volume":"2","author":"Q Chen","year":"2020","unstructured":"Chen Q, Zhang Y, Liu S, et al. Switchable perovskite photovoltaic sensors for bioinspired adaptive machine vision. Adv Intell Syst, 2020, 2: 2000122","journal-title":"Adv Intell Syst"},{"key":"3888_CR117","doi-asserted-by":"publisher","first-page":"2200298","DOI":"10.1002\/aisy.202200298","volume":"5","author":"C Liao","year":"2023","unstructured":"Liao C, Wang W, Sun Y, et al. A gate multiplexing architecture-based artificial visual sensor and memory system. Adv Intell Syst, 2023, 5: 2200298","journal-title":"Adv Intell Syst"},{"key":"3888_CR118","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1038\/s41928-020-00466-9","volume":"3","author":"D Jayachandran","year":"2020","unstructured":"Jayachandran D, Oberoi A, Sebastian A, et al. A low-power biomimetic collision detector based on an in-memory molybdenum disulfide photodetector. Nat Electron, 2020, 3: 646\u2013655","journal-title":"Nat Electron"},{"key":"3888_CR119","doi-asserted-by":"publisher","first-page":"2308","DOI":"10.1109\/TCSI.2005.853517","volume":"52","author":"R R Harrison","year":"2005","unstructured":"Harrison R R. A biologically inspired analog IC for visual collision detection. IEEE Trans Circ Syst I, 2005, 52: 2308\u20132318","journal-title":"IEEE Trans Circ Syst I"},{"key":"3888_CR120","doi-asserted-by":"publisher","first-page":"1068","DOI":"10.1021\/acsnano.2c07877","volume":"17","author":"D Jayachandran","year":"2022","unstructured":"Jayachandran D, Pannone A, Das M, et al. Insect-inspired, spike-based, in-sensor, and night-time collision detector based on atomically thin and light-sensitive memtransistors. ACS Nano, 2022, 17: 1068\u20131080","journal-title":"ACS Nano"},{"key":"3888_CR121","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.neunet.2019.03.005","volume":"115","author":"G Tanaka","year":"2019","unstructured":"Tanaka G, Yamane T, H\u00e9roux J B, et al. Recent advances in physical reservoir computing: a review. Neural Netw, 2019, 115: 100\u2013123","journal-title":"Neural Netw"},{"key":"3888_CR122","doi-asserted-by":"publisher","first-page":"2204","DOI":"10.1038\/s41467-017-02337-y","volume":"8","author":"C Du","year":"2017","unstructured":"Du C, Cai F, Zidan M A, et al. Reservoir computing using dynamic memristors for temporal information processing. Nat Commun, 2017, 8: 2204","journal-title":"Nat Commun"},{"key":"3888_CR123","doi-asserted-by":"publisher","first-page":"2106092","DOI":"10.1002\/advs.202106092","volume":"9","author":"J Lao","year":"2022","unstructured":"Lao J, Yan M, Tian B, et al. Ultralow-power machine vision with self-powered sensor reservoir. Adv Sci, 2022, 9: 2106092","journal-title":"Adv Sci"},{"key":"3888_CR124","doi-asserted-by":"publisher","first-page":"2200196","DOI":"10.1002\/aisy.202200196","volume":"5","author":"Y Sun","year":"2023","unstructured":"Sun Y, Li Q, Zhu X, et al. In-sensor reservoir computing based on optoelectronic synapse. Adv Intell Syst, 2023, 5: 2200196","journal-title":"Adv Intell Syst"},{"key":"3888_CR125","doi-asserted-by":"publisher","first-page":"141401","DOI":"10.1007\/s11432-021-3336-8","volume":"65","author":"T Q Wan","year":"2021","unstructured":"Wan T Q, Ma S J, Liao F Y, et al. Neuromorphic sensory computing. Sci China Inf Sci, 2021, 65: 141401","journal-title":"Sci China Inf Sci"},{"key":"3888_CR126","doi-asserted-by":"publisher","first-page":"1353","DOI":"10.1126\/science.abg3161","volume":"373","author":"L Tong","year":"2021","unstructured":"Tong L, Peng Z, Lin R, et al. 2D materials-based homogeneous transistor-memory architecture for neuromorphic hardware. Science, 2021, 373: 1353\u20131358","journal-title":"Science"},{"key":"3888_CR127","doi-asserted-by":"publisher","first-page":"2102980","DOI":"10.1002\/adma.202102980","volume":"33","author":"S Seo","year":"2021","unstructured":"Seo S, Lee J, Lee R, et al. An optogenetics-inspired flexible van der Waals optoelectronic synapse and its application to a convolutional neural network. Adv Mater, 2021, 33: 2102980","journal-title":"Adv Mater"},{"key":"3888_CR128","doi-asserted-by":"publisher","first-page":"4083","DOI":"10.1126\/sciadv.adi4083","volume":"9","author":"X Pan","year":"2023","unstructured":"Pan X, Shi J, Wang P, et al. Parallel perception of visual motion using light-tunable memory matrix. Sci Adv, 2023, 9: 4083","journal-title":"Sci Adv"},{"key":"3888_CR129","first-page":"5436","volume":"45","author":"M H Guo","year":"2023","unstructured":"Guo M H, Liu Z N, Mu T J, et al. Beyond self-attention: external attention using two linear layers for visual tasks. IEEE Trans Pattern Anal Mach Intell, 2023, 45: 5436\u20135447","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3888_CR130","doi-asserted-by":"publisher","first-page":"108796","DOI":"10.1016\/j.patcog.2022.108796","volume":"130","author":"R Qian","year":"2022","unstructured":"Qian R, Lai X, Li X. 3D object detection for autonomous driving: a survey. Pattern Recogn, 2022, 130: 108796","journal-title":"Pattern Recogn"},{"key":"3888_CR131","doi-asserted-by":"publisher","first-page":"1738","DOI":"10.1109\/TPAMI.2020.3032602","volume":"44","author":"H Laga","year":"2022","unstructured":"Laga H, Jospin L V, Boussaid F, et al. A survey on deep learning techniques for stereo-based depth estimation. IEEE Trans Pattern Anal Mach Intell, 2022, 44: 1738\u20131764","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3888_CR132","doi-asserted-by":"publisher","first-page":"2201895","DOI":"10.1002\/adma.202201895","volume":"34","author":"C Chen","year":"2022","unstructured":"Chen C, He Y, Mao H, et al. A photoelectric spiking neuron for visual depth perception. Adv Mater, 2022, 34: 2201895","journal-title":"Adv Mater"},{"key":"3888_CR133","doi-asserted-by":"crossref","unstructured":"Su F, Chen W H, Xia L X, et al. A 462GOPs\/J RRAM-based nonvolatile intelligent processor for energy harvesting IoE system featuring nonvolatile logics and processing-in-memory. In: Proceedings of Symposium on VLSI Circuits, Horikawa-Shiokoji, 2017","DOI":"10.23919\/VLSIT.2017.7998149"},{"key":"3888_CR134","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1038\/s41565-023-01339-w","volume":"18","author":"X Huang","year":"2023","unstructured":"Huang X, Liu C, Tang Z, et al. An ultrafast bipolar flash memory for self-activated in-memory computing. Nat Nanotechnol, 2023, 18: 486\u2013492","journal-title":"Nat Nanotechnol"},{"key":"3888_CR135","doi-asserted-by":"publisher","first-page":"6400","DOI":"10.1021\/acsnano.2c11132","volume":"17","author":"L Ren","year":"2023","unstructured":"Ren L, Zhou C, Song X, et al. Efficient spin-orbit torque switching in a perpendicularly magnetized heusler alloy MnPtGe single layer. ACS Nano, 2023, 17: 6400\u20136409","journal-title":"ACS Nano"},{"key":"3888_CR136","doi-asserted-by":"publisher","first-page":"2000182","DOI":"10.1002\/aisy.202000182","volume":"3","author":"X Lan","year":"2021","unstructured":"Lan X, Cao Y, Liu X, et al. Gradient descent on multilevel spin-orbit synapses with tunable variations. Adv Intell Syst, 2021, 3: 2000182","journal-title":"Adv Intell Syst"},{"key":"3888_CR137","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1038\/s41427-021-00282-3","volume":"13","author":"S Yang","year":"2021","unstructured":"Yang S, Shin J, Kim T, et al. Integrated neuromorphic computing networks by artificial spin synapses and spin neurons. NPG Asia Mater, 2021, 13: 11","journal-title":"NPG Asia Mater"},{"key":"3888_CR138","doi-asserted-by":"publisher","first-page":"2107870","DOI":"10.1002\/adfm.202107870","volume":"32","author":"J Liu","year":"2022","unstructured":"Liu J, Xu T, Feng H, et al. Compensated ferrimagnet based artificial synapse and neuron for ultrafast neuromorphic computing. Adv Funct Mater, 2022, 32: 2107870","journal-title":"Adv Funct Mater"},{"key":"3888_CR139","doi-asserted-by":"publisher","first-page":"5564","DOI":"10.1038\/s41467-021-25801-2","volume":"12","author":"D J Gauthier","year":"2021","unstructured":"Gauthier D J, Bollt E, Griffith A, et al. Next generation reservoir computing. Nat Commun, 2021, 12: 5564","journal-title":"Nat Commun"},{"key":"3888_CR140","doi-asserted-by":"publisher","first-page":"eabg1455","DOI":"10.1126\/sciadv.abg1455","volume":"7","author":"L Sun","year":"2021","unstructured":"Sun L, Wang Z, Jiang J, et al. In-sensor reservoir computing for language learning via two-dimensional memristors. Sci Adv, 2021, 7: eabg1455","journal-title":"Sci Adv"},{"key":"3888_CR141","doi-asserted-by":"publisher","first-page":"3585","DOI":"10.1038\/s41467-023-39371-y","volume":"14","author":"Z Chen","year":"2023","unstructured":"Chen Z, Li W, Fan Z, et al. All-ferroelectric implementation of reservoir computing. Nat Commun, 2023, 14: 3585","journal-title":"Nat Commun"},{"key":"3888_CR142","doi-asserted-by":"publisher","first-page":"2102688","DOI":"10.1002\/adma.202102688","volume":"33","author":"Y Usami","year":"2021","unstructured":"Usami Y, van de Ven B, Mathew D G, et al. In-materio reservoir computing in a sulfonated polyaniline network. Adv Mater, 2021, 33: 2102688","journal-title":"Adv Mater"},{"key":"3888_CR143","doi-asserted-by":"publisher","first-page":"2204102","DOI":"10.1002\/adfm.202204102","volume":"32","author":"J Han","year":"2022","unstructured":"Han J, Yun S, Lee S, et al. A review of artificial spiking neuron devices for neural processing and sensing. Adv Funct Mater, 2022, 32: 2204102","journal-title":"Adv Funct Mater"},{"key":"3888_CR144","doi-asserted-by":"crossref","unstructured":"Li X, Zhong Y, Chen H, et al. A memristors-based dendritic neuron for high-efficiency spatial-temporal information processing. Adv Mater, 2023, 35","DOI":"10.1002\/adma.202203684"},{"key":"3888_CR145","doi-asserted-by":"publisher","first-page":"2300018","DOI":"10.1002\/aelm.202300018","volume":"9","author":"C Y Han","year":"2023","unstructured":"Han C Y, Fang S L, Cui Y L, et al. Configurable NbOx memristors as artificial synapses or neurons achieved by regulating the forming compliance current for the spiking neural network. Adv Elect Mater, 2023, 9: 2300018","journal-title":"Adv Elect Mater"},{"key":"3888_CR146","unstructured":"Han S, Mao H Z, Dally W J. Deep compression: compressing deep neural networks with pruning, trained quantization and Huffman coding. In: Proceedings of International Conference on Learning Representations, Vancouver, 2016"},{"key":"3888_CR147","doi-asserted-by":"publisher","first-page":"21324","DOI":"10.1021\/acsnano.2c09569","volume":"16","author":"J Yang","year":"2022","unstructured":"Yang J, Zhang F, Xiao H M, et al. A perovskite memristor with large dynamic space for analog-encoded image recognition. ACS Nano, 2022, 16: 21324\u201321333","journal-title":"ACS Nano"},{"key":"3888_CR148","unstructured":"Zhu C Z, Han S, Mao H, et al. Trained ternary quantization. In: Proceedings of International Conference on Learning Representations, Toulouse, 2017"},{"key":"3888_CR149","unstructured":"Courbariaux M, Bengio Y, David J P. BinaryConnect: training deep neural networks with binary weights during propagations. In: Proceedings of Advances in Neural Information Processing Systems, Montreal, 2015"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-023-3888-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11432-023-3888-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-023-3888-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T21:02:22Z","timestamp":1750366942000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11432-023-3888-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,23]]},"references-count":149,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["3888"],"URL":"https:\/\/doi.org\/10.1007\/s11432-023-3888-0","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,23]]},"assertion":[{"value":"27 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 October 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 November 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 April 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"151401"}}