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1

Yilmaz, Yalcin, Pinaki Mazumder, and Idongesit Ebong. Neuromorphic Circuits for Nanoscale Devices. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338918.

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2

Suri, Manan, ed. Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices. New Delhi: Springer India, 2017. http://dx.doi.org/10.1007/978-81-322-3703-7.

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3

Neuromorphic Circuits for Nanoscale Devices. River Publishers, 2019.

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4

Mazumder, Pinaki, Yalcin Yilmaz, and Idongesit Ebong. Neuromorphic Circuits for Nanoscale Devices. River Publishers, 2022.

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5

Mazumder, Pinaki, Yalcin Yilmaz, and Idongesit Ebong. Neuromorphic Circuits for Nanoscale Devices. River Publishers, 2022.

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6

Mazumder, Pinaki, Yalcin Yilmaz, and Idongesit Ebong. Neuromorphic Circuits for Nanoscale Devices. River Publishers, 2022.

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7

Dong, Yibo, Min Gu, Elena Goi, Yangyundou Wang, and Zhengfen Wan. Neuromorphic Photonic Devices and Applications. Elsevier, 2023.

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8

Mazumder, Pinaki, Yalcin Yilmaz, Idongesit Ebong, and Woo Hyung Lee. Neuromorphic Circuits for Nanoscale Devices. River Publishers, 2020.

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9

Wang, Jing, Min Gu, Elena Goi, Yangyundou Wang, and Zhengfen Wan. Neuromorphic Photonic Devices and Applications. Elsevier, 2023.

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10

Wan, Qing, and Yi Shi, eds. Neuromorphic Devices for Brain‐Inspired Computing. Wiley, 2022. http://dx.doi.org/10.1002/9783527835317.

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11

Suri, Manan. Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices. Springer (India) Private Limited, 2017.

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12

Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-1733-9.

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13

Suri, Manan. Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices. Springer, 2018.

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14

Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception and Robotics. Wiley & Sons, Limited, John, 2022.

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15

Shi, Yi, and Qing Wan. Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception and Robotics. Wiley & Sons, Incorporated, John, 2022.

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16

Shi, Yi, and Qing Wan. Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception and Robotics. Wiley & Sons, Incorporated, John, 2022.

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Shi, Yi, and Qing Wan. Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception and Robotics. Wiley & Sons, Incorporated, John, 2022.

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18

Dudek, Piotr. Vision. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0014.

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Abstract:
Vision is a sensory modality of primary importance to many animal species. The efficient implementation of visual perception is also one of the main challenges in the design of intelligent robotic systems. This chapter reviews the principles of operation and key features of the early stages of biological vision systems. Following the observation that visual information processing starts in the eye, it reviews several approaches to constructing biomimetic artificial vision systems. It presents devices inspired by the morphology of the insects’ compound eyes, and devices tightly integrating image sensing and processing circuitry. These include silicon integrated circuits mimicking the operation of vertebrate retinas, and bio-inspired systems oriented towards machine vision applications, such as dynamic vision sensors and vision chips with pixel-parallel cellular processor arrays. It elucidates the advantages of the near-sensor processing of the visual information, and potential for future developments of neuromorphic vision sensors.
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19

Li, Huanglong, J. Joshua Yang, and Hongsik Jeong, eds. Memristive Neuromorphics: Materials, Devices, Circuits, Architectures, Algorithms and their Co-Design. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88974-460-2.

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