Bridging neuromorphic computing and deep learning for next-generation neural data interpretation. [PDF]
Zhang M, Wang T, Zhu Z.
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Editorial: Algorithm-hardware co-optimization in neuromorphic computing for efficient AI. [PDF]
Yousefzadeh A +3 more
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Applications of Neuromorphic Computing
Neuromorphic computing refers to a form of processing that mirrors the structure and functionality of the human brain. Several potential future applications of neuromorphic computing are outlined in this work. It is a supplement to the Purdue Honors College Visiting Scholars interview with Dr. Gkoupidenis.
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A reconfigurable photosensitive split-floating-gate memory for neuromorphic computing and nonlinear activation. [PDF]
Zhang ZC +12 more
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Recent Advances in Optoelectronic Synaptic Devices for Neuromorphic Computing. [PDF]
Jang H +7 more
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Neuromorphic computing for robotic vision: algorithms to hardware advances. [PDF]
Chowdhury SS, Sharma D, Kosta A, Roy K.
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Neuromorphic computing paradigms enhance robustness through spiking neural networks. [PDF]
Ding J, Yu Z, Liu JK, Huang T.
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Mechanical Properties Analysis of Flexible Memristors for Neuromorphic Computing. [PDF]
Zhu Z, Shui J, Wang T, Meng J.
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Electrically programmable organic in-display neuromorphic computing. [PDF]
Dai S +12 more
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Al Nanoparticle-Decorated Metal Oxide Synaptic Transistors for Ultralow-Energy Neuromorphic Computing with Wide Dynamic Range. [PDF]
Choi JG, Song Y, Baek S, Jang J, Park S.
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