Searching for authors named Jianfeng Feng – sorted by Relevance.
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Optimally Decoding The Input Rate From An Observation Of The Interspike Intervals
- 1 Optimally Decoding The Input Rate From An Observation Of The Interspike Intervals Jianfeng Feng
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Generalization errors of the simple perceptron
- -4470(98)86524-4 Generalization errors of the simple perceptron 1. Introduction Jianfeng Feng Biomathematics Laboratory
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Increasing Inhibition Can Boost A Neuron's Firing Rate
- 1 Increasing Inhibition Can Boost A Neuron's Firing Rate Jianfeng Feng et al. Computational
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Training Spiking Neuronal Networks With Applications in Engineering Tasks
- and Jianfeng Feng P. Rowcliffe is with the Department of Informatics at the School of Science and Technology
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ORIGINAL PAPER Decoding spike train ensembles: tracking a moving stimulus
- ensembles: tracking a moving stimulus Enrico Rossoni · Jianfeng Feng Received: 8 November 2005 / Accepted
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Sufficient And Necessary Condition For The Convergence Of Stochastic Approximation Algorithms
- Jianfeng Feng ∗ Wenbin Liu ∗∗ ∗ COGS, Sussex University, Brighton BN1 9QH, UK ∗∗ CBS, Kent University, UK
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Detectable and Undetectable Input Signals for the Integrate-and-Fire Model
- and undetectable input signals for the integrate-and-fire model Jianfeng Feng 1,2 , David Brown 2 , Gang Wei
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Decoding spikes in a spiking neuronal networks
- . Introduction Jianfeng Feng 1 and Mingzhou Ding 2 1 Department of Informatics, University of Sussex, Brighton BN
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Integrate-and-fire Models With Nonlinear Leakage
- 1 Integrate-and-fire Models With Nonlinear Leakage Jianfeng Feng David Brown Computational
- Cited by 5 (3 self) – Add To MetaCart
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Increasing Inhibitory Input Increases Neuronal Firing Rate: Why And When? - Diffusion Process Cases
- Jianfeng Feng # Gang Wei + Abstract Increasing inhibitory input to single neuronal models, such as the Fitz
- Cited by 2 (1 self) – Add To MetaCart

