This paper investigates SNN employing a leaky integrate-and-fire neuron model with latency estimation through FNS. A three-layer feedforward network (FFN) is constructed, incorporating design parameters from Config Wizard. Notably, our study sheds light on the impact of synchrony within a simple ...
这是一篇很久前arXiv preprint上的文章,主要的思路是把常规SNN模型中的膜电位衰减因子从手动调节的超参数转换成模型能够学习的参数。 Proposed Methods Parametric Leaky Integrate-and-Fire Neuron(PLIF) ①τm在训练过程中自动优化 ②τm在神经网络具体层上的神经元间是共享的 ③τm在神经网络不同层间是不同的(...
Neuro-biology inspired Spiking Neural Network (SNN) enables efficient learning and recognition tasks. To achieve a large scale network akin to biology, a power and area efficient electronic neuron is essential. Earlier, we had demonstrated an LIF neuron
TheLeakyIntegrate-and-FireNeuronModel TheLeakyIntegrate-and-FireNeuronModel EminOrhan eorhan@bcs.rochester.edu November20,2012 Inthisnote,Ireviewthebehaviorofaleakyintegrate-and-fire(LIF)neuronunderdifferentstimulation conditions.Icloselyfollowchapter4.1ofGerstnerandKistler(2002).Iconsiderthreedifferent...
TheLeakyIntegrate-and-FireNeuronModelEminOrhaneorhan@bcs.rochester.eduNovember20,2012Inthisnote,Ireviewthebehaviorofaleakyintegrate-and-fire(LIF)neuronunderdifferentstimulationconditions.Icloselyfollowchapter4.1ofGerstnerandKistler(2002).Iconsiderthreedifferentstimulationconditionsbelowandshowhoweachconditionca...
至此,我们得到了一个粗略的LIF模型模拟。 我在medium上写的英文原文:https://medium.com/@annazhang20/a-first-try-on-the-leaky-fire-and-integrate-neuron-model-29991b8292e Reference: Miller, P. (2018).An introductory course in computational neuroscience. Cambridge, MA: The MIT Press....
This article investigates the performance of a vertically extended drain double gate Si 1- x Ge x source tunnel field effect transistor (VD-DG-Si 1- x Ge x S-TFET) as a leaky integrate-and-fire (LIF) neuron. The proposed VD-DGSi 1- x Ge x S-TFET structure has been designed and ...
//celltypes.brain-map.org. It includes both morphological and electrophysiological data of genetically identified neurons mapped to the common coordinate framework2. Morphologically and biophysically detailed as well as simple generalized leaky integrate-and-fire point neuron models have been generated1to...
Here, we offer a new supervised learning rule based on Support Vector Machines (SVM) to determine the synaptic weights of a leaky integrate-and-fire (LIF) neuron model for spike pattern classification. We compare classification performance between this algorithm and other methods sharing the same ...
Three types of single neuron models are considered: the leaky integrateand-fire (LIF) model, the exponential integrate-and-fire (EIF), model and ... Brunel,Nicolas,Hansel,... - 《Neural Computation》 被引量: 116发表: 2006年 Effect of stimulation on the input parameters of stochastic leaky...