Choi, Sanghyeon Jang, Jingon Kim, Min Seob Kim, Nam Dong Kwag, Jeehyun Wang, Gunuk 2024-01-19T12:30:26Z 2024-01-19T12:30:26Z 2022-04-05 2022-04 2198-3844 https://pubs.kist.re.kr/handle/201004/115471 The human brain's neural networks are sparsely connected via tunable and probabilistic synapses, which may be essential for performing energy-efficient cognitive and intellectual functions. In this sense, the implementation of a flexible neural network with probabilistic synapses is a first step toward realizing the ultimate energy-efficient computing framework. Here, inspired by the efficient threshold-tunable and probabilistic rod-to-rod bipolar synapses in the human visual system, a 16 x 16 crossbar array comprising the vertical form of gate-tunable probabilistic SiOx memristive synaptic barristor utilizing the Si/graphene heterojunction is designed and fabricated. Controllable stochastic switching dynamics in this array are achieved via various input voltage pulse schemes. In particular, the threshold tunability via electrostatic gating enables the efficient in situ alteration of the probabilistic switching activation (P-Act) from 0 to 1.0, and can even modulate the degree of the P-Act change. A drop-connected algorithm based on the P-Act is constructed and used to successfully classify the shapes of several fashion items. The suggested approach can decrease the learning energy by up to approximate to 2,116 times relative to that of the conventional all-to-all connected network while exhibiting a high recognition accuracy of approximate to 93 %. English Wiley-VCH Verlag Flexible Neural Network Realized by the Probabilistic SiOx Memristive Synaptic Array for Energy-Efficient Image Learning Article 10.1002/advs.202104773 1 Advanced Science, v.9, no.11 Advanced Science 9 11 Y scie scopus 000755636700001 2-s2.0-85124616049 Chemistry, Multidisciplinary Nanoscience & Nanotechnology Materials Science, Multidisciplinary Chemistry Science & Technology - Other Topics Materials Science Article SILICON MEMORY COMPUTATION barristor drop-connected network neuromorphic computing probabilistic synapse silicon silicon oxide