Spiking data

Figshare2016-11-07 更新2026-04-29 收录

脉冲神经网络

神经尖峰时序分析

数据链接：

https://figshare.com/articles/dataset/Spiking_data/3749700 数据链接链接失效反馈

官方服务：

资源简介：

Spiking data produced by the model in an example run. This data was used for the spike raster plot.

创建时间：

2016-11-07

Data from: Mirrored STDP implements autoencoder learning in a network of spiking neurons

计算神经科学

脉冲神经网络

The autoencoder algorithm is a simple but powerful unsupervised method for training neural networks. Autoencoder networks can learn sparse distributed codes similar to those seen in cortical sensory a

DataONE2015-12-23 更新190

Statistics of the large-scale AI network.

脉冲神经网络

神经网络失真补偿

Reference (ref.) simulated with NEST, distorted (dist.) and compensated (comp.) with the ESS. Statistics of the large-scale AI network.

NIAID Data Ecosystem80

CogSci2013: Experiment 2 Optimization

脉冲神经网络

认知计算模型

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

Table 1_Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data.xlsx

脉冲神经网络

多模态神经影像

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

n-back dataset comparing optimized and unoptimized semantic pointer representations

工作记忆测试

脉冲神经网络

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