A Sparse and Spike-Timing-Based Adaptive Photoencoder for Augmenting Machine Vision for Spiking Neural Networks.

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作者： Shiva,Subbulakshmi Radhakrishnan ^[1] ; Shakya,Chakrabarti ^[2] ; Dipanjan,Sen ^[1] ; Mayukh,Das ^[1] ; Thomas F,Schranghamer ^[1] ; Amritanand,Sebastian ^[1] ; Saptarshi,Das ^[1]

作者单位： Engineering Science and Mechanics, Penn State University, University Park, PA, 16802, USA. ^[1] Electrical Engineering and Computer Science, Penn State University, University Park, PA, 16802, USA. ^[2] Materials Science and Engineering, Penn State University, University Park, PA, 16802, USA. ^[3] Materials Research Institute, Penn State University, University Park, PA, 16802, USA. ^[4]

关键词 2D materials memtransistors photoencoders sparse spike-based encoding

主题词模型, 神经学(Models, Neurological);动作电位(Action Potentials);神经元(Neurons);脑(Brain)

DOI 10.1002/adma.202202535

PMID 35674268

发布时间 2022-12-02

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