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LIF neuron parameters.
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创建时间：
2016-03-16
相关数据集
Table 1_Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data.xlsx
Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however
NIAID Data Ecosystem100
Single neuron parameter sets.
In the heterogeneous condition, three neuronal types have the values of the described parameters randomly drawn from a normal () or lognormal () distribution. The parameter values for these distributi
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Detailed SNN parameter settings.
Multimodal medical image fusion methods, which combine complementary information from many multi-modality medical images, are among the most important and practical approaches in numerous clinical app
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n-back dataset comparing optimized and unoptimized semantic pointer representations
Raw n-back simulation data used in the paper "Optimizing Semantic Pointer Representations for Symbol-like Processing in Spiking Neural Networks".
Figshare2016-01-05 更新70
CogSci2013: Experiment 2 Optimization
Results from 200 runs (plus 7 control runs) of Experiment 2 from "Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks". These run
Figshare2016-01-18 更新50
