B
Bin Deng
Researcher at Tianjin University
Publications - 296
Citations - 3279
Bin Deng is an academic researcher from Tianjin University. The author has contributed to research in topics: Biological neuron model & Synchronization. The author has an hindex of 26, co-authored 269 publications receiving 2517 citations.
Papers
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Journal ArticleDOI
Efficient Spike-Driven Learning With Dendritic Event-Based Processing.
Shuangming Yang,Tian Gao,Jiang Wang,Bin Deng,Benjamin James Lansdell,Bernabe Linares-Barranco +5 more
TL;DR: In this article, a two-compartment leaky integrate-and-fire neuron with partially segregated dendrites is used to solve the credit assignment problem, and a dynamic fixed-point representation method and piecewise linear approximation approach are presented.
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Power spectral density and coherence analysis of Alzheimer’s EEG
TL;DR: The obtained results show that analysis of PSD and coherence-based functional network can be taken as a potential comprehensive measure to distinguish AD patients from the normal, which may benefit the understanding of the disease.
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Vibrational resonance in neuron populations
TL;DR: It is shown that optimal amplitude of high-frequency driving enhances the response of neuron populations to a subthreshold low-frequency input and the optimal amplitude dependences on the connection among the neurons.
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Neuromorphic context-dependent learning framework with fault-tolerant spike routing
TL;DR: In this paper, the authors proposed a scalable neuromorphic fault-tolerant context-dependent learning (FCL) hardware framework, which can learn associations between stimulation and response in two contextdependent learning tasks from experimental neuroscience, despite possible faults in the hardware nodes.
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Effect of chemical synapse on vibrational resonance in coupled neurons.
Bin Deng,Jiang Wang,Xile Wei +2 more
TL;DR: It is shown that an optimal amplitude of the high-frequency driving enhances the response of coupled excited neurons to a subthreshold low-frequency input, and the chemical synaptic coupling is more efficient than the well-known electrical coupling (gap junction).