Spiking neural networksDynamic synapsesEvolving connectionist systemsRank-order codingSpike time based learningMoving object recognitionEEG pattern recognitionOn-line learning and recognition of spatio- and spectro-temporal data (SSTD) is a very challenging task and an important one for the future ...
master 1Branch 0Tags Code README MIT license SpikeNet Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks(AAAI 2023) Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng ...
MDN首先从空间(MNIST)和时间(TIDigits)数据集生成,然后扩展到各种其他不同的时空任务(包括Fashion-MNIST、NETtalk、Cifar-10、TIMIT和N-MNIST)。与其他SOTA SNN算法相比,达到了相当的精度,并且使用MDN的SNN也比不使用MDN的SNN实现了更好的泛化。 Keywords: Spiking Neural Network, Biologically-plausible Computing, M...
MDN首先从空间(MNIST)和时间(TIDigits)数据集生成,然后扩展到各种其他不同的时空任务(包括Fashion-MNIST、NETtalk、Cifar-10、TIMIT和N-MNIST)。与其他SOTA SNN算法相比,达到了相当的精度,并且使用MDN的SNN也比不使用MDN的SNN实现了更好的泛化。 Keywords: Spiking Neural Network, Biologically-plausible Computing, M...
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs (WSDM, 2023) [paper][code] Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs (WSDM, 2023) [paper] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks (AAAI, 20...
2.2. Spiking Neural Network Simulator 对于这项工作,我们使用模块化事件驱动增长异步模拟器(MegaSim)3作为我们的主要模拟平台。MegaSim是一种设计用于模拟Address-Event-Representation (AER) (Mahowald, 1994)多模块硬件系统行为的工具,重点强调模块的硬件性能参数(处理延迟、握手和通信延迟、参数变化、噪声等)。
et al. Role of graph architecture in controlling dynamical networks with applications to neural systems. Nat. Phys. 14, 91–98 (2018). CAS PubMed Google Scholar Stiso, J. et al. White matter network architecture guides direct electrical stimulation through optimal state transitions. Cell Rep....
Spiking neural networks (SNNs) [42], [43] also wise dynamic networks which adapt their architectures or perform data-dependent inference by propagating pulse parameters conditioned on each input sample. Dynamic signals. However, the training strategy for SNNs is quite dif- models working on a ...
DynamicPathPlanningwithSpikingNeuralNetworksUlrichRoth,MarcWalker,ArneHilmann,andHeinrichKlarTU-Berlin,InstitutfürMikroelektronik,Jebensstr.1,D-10623BerlinE-Mail:roth@mikro.ee.tu-berlin.deABSTRACT:Thepathplanningproblemisrelevantforallapplicationsinwhichamobilrobotshouldautonomouslynavigate.Findingtheshortestpathinan...
A. Spiking Neural Networks (SNNs) SNN,第三代NN[20],与传统的DNN相比表现出更好的生物学合理性。事实上,SNN中神经元之间基于事件的通信类似于人脑的功能。SNN相对于传统DNN的另一个关键优势是,在Intel Loihi [8]或IBM TrueNorth [7]等神经形态芯片上实现时,它们提高了能效。此外,DVS传感器[9]的最新发展进...