Abstract
The development of artificial visual systems that mimic biological systems requires devices that can autonomously adapt their response to varying stimuli. However, emulating biological feedforward visual adaptation is challenging and requires complementary photoexcitation and inhibition, ideally in a single device. Here we show that an organic transistor that incorporates two bulk heterojunctions is capable of light intensity-dependent active photoadaptation. The approach couples the photovoltaic effect in bulk heterojunctions with electron trapping in the dielectric layer, allowing adaptive modulation of the carrier concentration of the transistor. Our device exhibits active photoadaptation behaviour for light intensities ranging over six orders of magnitude (1 to 106 cd m−2). We also define an active adaptation index to describe the luminance-dependent changes to sensitivity, including auto-background control, which for our devices is comparable to that of the human visual system (less than 2 s at 1 × 104 cd m−2).
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Data availability
The data that support the plots within this paper and other findings of this study are available from Zenodo (https://doi.org/10.5281/zenodo.4971666).
Code availability
The code that supports the theoretical plots within this paper is available from the corresponding author upon reasonable request.
References
Wang, H. et al. A ferroelectric/electrochemical modulated organic synapse for ultraflexible, artificial visual-perception system. Adv. Mater. 30, 1803961 (2018).
Park, H.-L. et al. Retina-inspired carbon nitride-based photonic synapses for selective detection of UV light. Adv. Mater. 32, e1906899 (2020).
Kwon, S. M. et al. Environment-adaptable artificial visual perception behaviors using a light-adjustable optoelectronic neuromorphic device array. Adv. Mater. 31, 1906433 (2019).
Gu, L. et al. A biomimetic eye with a hemispherical perovskite nanowire array retina. Nature 581, 278–282 (2020).
Wang, X. et al. Highly sensitive artificial visual array using transistors based on porphyrins and semiconductors. Small 17, 2005491 (2021).
Webster, M. A. Visual adaptation. Annu. Rev. Vis. Sci. 1, 547–567 (2015).
Mante, V., Frazor, R. A., Bonin, V., Geisler, W. S. & Carandini, M. Independence of luminance and contrast in natural scenes and in the early visual system. Nat. Neurosci. 8, 1690–1697 (2005).
Smirnakis, S. M., Berry, M. J., Warland, D. K., Blalek, W. & Meister, M. Adaptation of retinal processing to image contrast and spatial scale. Nature 386, 69–73 (1997).
Webster, M. A. & Mollon, J. D. Colour constancy influenced by contrast adaptation. Nature 373, 694–698 (1995).
Esfahani, Z. K. et al. Monolithically integrated light feedback control circuit for blue/UV LED smart package. IEEE Photon. J. 9, 2400213 (2017).
Polyushkin, D. K. et al. Analogue two-dimensional semiconductor electronics. Nat. Electron. 3, 486–491 (2020).
Zliobaite, I. & Gabrys, B. Adaptive preprocessing for streaming data. IEEE Trans. Knowl. Data Eng. 26, 309–321 (2012).
Lee, Y. R., Trung, T. Q., Hwang, B.-U. & Lee, N.-E. A flexible artificial intrinsic-synaptic tactile sensory organ. Nat. Commun. 11, 2753 (2020).
Yang, B. et al. Bioinspired multifunctional organic transistors based on natural chlorophyll/organic semiconductors. Adv. Mater. 32, 2001227 (2020).
Qian, C. et al. Oxygen-detecting synaptic device for realization of artificial autonomic nervous system for maintaining oxygen homeostasis. Adv. Mater. 32, 2002653 (2020).
Deng, W. et al. Organic molecular crystal-based photosynaptic devices for an artificial visual-perception system. NPG Asia Mater. 11, 77 (2019).
Baek, E. et al. Intrinsic plasticity of silicon nanowire neurotransistors for dynamic memory and learning functions. Nat. Electron. 3, 398–408 (2020).
Ji, D. et al. Band-like transport in small-molecule thin films toward high mobility and ultrahigh detectivity phototransistor arrays. Nat. Commun. 10, 12 (2019).
Kim, K. H. et al. Highly photosensitive J-aggregated single-crystalline organic transistors. Adv. Mater. 23, 3095–3099 (2011).
Liu, J. et al. Organic-single-crystal vertical field-effect transistors and phototransistors. Adv. Mater. 30, e1803655 (2018).
Shen, H. et al. Mimicking sensory adaptation with dielectric engineered organic transistors. Adv. Mater. 31, 1905018 (2019).
Koutalos, Y. & Yau, K.-W. Regulation of sensitivity in vertebrate rod photoreceptors by calcium. Trends Neurosci. 19, 73–81 (1999).
Baylor, D. How photons start vision. Proc. Natl Acad. Sci. USA 93, 560–565 (1996).
Torre, V., Ashmore, J. F., Lamb, T. D. & Menini, A. Transduction and adaptation in sensory receptor cells. J. Neurosci. 15, 7757–7768 (1995).
Iglesias, P. A. Chemoattractant signaling in Dictyostelium: adaptation and amplification. Sci. Signal. 5, pe8 (2012).
Artyukhin, A. B., Wu, L. F. & Altschuler, S. J. Only two ways to achieve perfection. Cell 138, 619–621 (2009).
Tendler, A., Wolf, B. C., Tiwari, V., Alon, U. & Danon, A. Fold-change response of photosynthesis to step increases of light level. iScience 8, 126–137 (2018).
Xu, H. et al. A high-sensitivity near-infrared phototransistor based on an organic bulk heterojunction. Nanoscale 5, 11850–11855 (2013).
Wang, C., Zhang, X. & Hu, W. Organic photodiodes and phototransistors toward infrared detection: materials, devices and applications. Chem. Soc. Rev. 49, 653–670 (2020).
Dang, M. T., Hirsch, L. & Wantz, G. P3HT:PCBM, best seller in polymer photovoltaic research. Adv. Mater. 23, 3597–3602 (2011).
Jang, J. et al. Hysteresis-free organic field-effect transistors and inverters using photocrosslinkable poly(vinyl cinnamate) as a gate dielectric. Appl. Phys. Lett. 92, 143306 (2008).
Jiang, C. et al. Printed subthreshold organic transistors operating at high gain and ultralow power. Science 363, 719–723 (2019).
Un, H.-I. et al. Charge-trapping-induced non-ideal behaviors in organic field-effect transistors. Adv. Mater. 30, 1800017 (2018).
Chua, L.-L. et al. General observation of n-type field-effect behaviour in organic semiconductors. Nature 434, 192–194 (2005).
Wark, B., Fairhall, A. & Rieke, F. Timescales of inference in visual adaptation. Neuron 61, 750–761 (2009).
Kohn, A. Visual adaptation: physiology, mechanisms and functional benefits. J. Neurophysiol. 97, 3155–3164 (2007).
Rauh, D. et al. Relation of open circuit voltage to charge carrier density in organic bulk heterojunction solar cells. Appl. Phys. Lett. 98, 133301 (2011).
Stevens, J. C. & Stevens, S. S. Brightness function: effects of adaptation. J. Opt. Soc. Am. 53, 375–385 (1963).
Shlaer, S. The relation between visual acuity and illumination. J. Gen. Physiol. 21, 165–188 (1937).
Nelson, R. in Webvision: The Organization of the Retina and Visual System (eds Kolb, H. et al.) 151–200 (Univ. Utah Health Sciences Center, 2007).
Masland, R. The fundamental plan of the retina. Nat. Neurosci. 4, 877–886 (2001).
Aguilar, M. & Stiles, W. S. Saturation of the rod mechanism of the retina at high levels of stimulation. Opt. Acta Int. J. Opt. 1, 59–65 (1954).
Barlow, H. B. Temporal and spatial summation in human vision at different background intensities. J. Physiol. 141, 337–350 (1958).
Davson, H. Physiology of the Eye (Macmillan, 1990).
Acknowledgements
C.-a.D. acknowledges financial support from the National Key Research and Development Program of China (2017YFA0204700 and 2018YF-E0200700), the National Natural Science Foundation (62075224, 62001454 and 22021002), the Strategic Priority Research Program of Chinese Academy of Sciences (XDPB13) and the K.C. Wong Education Foundation (GJTD-2020-02).
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C.-a.D. conceived and led the research. D.Z. supervised the project. Z.H., H.S. and D.Y. proposed the idea. Z.H. and H.S. fabricated the devices, performed electrical measurements and analysed the data. C.a-.D., Z.H., H.S. and D.Y. wrote the main manuscript, with comments from all authors. F.Z. performed KPFM measurements. L.X., W.Z. and J.D. provided comments during the experiments and writing of the manuscript.
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Peer review information Nature Electronics thanks Choongik Kim, Tao Li and Xiujuan Zhang for their contribution to the peer review of this work.
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Supplementary Figs. 1–24, Note 1 and References.
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He, Z., Shen, H., Ye, D. et al. An organic transistor with light intensity-dependent active photoadaptation. Nat Electron 4, 522–529 (2021). https://doi.org/10.1038/s41928-021-00615-8
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DOI: https://doi.org/10.1038/s41928-021-00615-8
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