事件驱动(Event-driven):网络输入为 0 时,不会触发计算。 二进制脉冲通信(Binary spike communication):所有与脉冲张量相关的矩阵乘法都可以转化为稀疏加法。 脉冲驱动自注意力(Spike-Driven Self-Attention,SDSA)算子:脉冲形式Q,K,V 矩阵之间运算为掩码(mask)和加法。 线性注意力(Linear attention):SDSA 算子的计算...
spiking neural networkspiking neural P systemcomputational powerSpiking neural P systems (SNP systems) are a class of distributed and parallel computation models, which are inspired by the way in which neurons process information through spikes, where the integrate-and-fire behavior of neurons and ...
mirroring the functionality of the mammalian brain more closely than their predecessors. Their computational units, spiking neurons, characterized by Ordinary Differential Equations (ODEs), allow for dynamic system representation, with spikes serving as the medium for asynchronous communication among...
Communication by rare, binary spikes is a key factor for the energy efficiency of biological brains. However, it is harder to train biologically-inspired spiking neural networks than artificial neural networks. This is puzzling given that theoretical results provide exact mapping algorithms from artifici...
1Spiking Neural Network Nonlinear Demappingon Neuromorphic Hardware for IM/DD OpticalCommunicationElias Arnold, Georg Böcherer, Florian Strasser, Eric Müller, Philipp Spilger, Sebastian Billaudelle,Johannes Weis, Johannes Schemmel, Stefano Calabr` o, Maxim KuschnerovAbstract—Neuromorphic computing implem...
Communication between cores in the core array is arranged through a programmable interconnect structure. 展开 关键词:spiking neural network neuron MATLAB Simulink robotics 会议名称: IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering 被引量: 15 ...
Thus, the combination of spiking neural networks and federated learning holds promise in mitigating the challenges of training models on low-power devices. However, the existing federated SNN methods require frequent communication between edge clients and the central server to share model weights during...
Human social communication depends largely on exchanges of non-verbal signals, including non-lexical expression of emotions in speech. In this work, we propose a biologically plausible methodology for the problem of emotion recognition, based on the extraction of vowel information from an input speech...
Most neuromorphic chips adopt network-on-chip architectures with neuromorphic cores, and SNNs are mapped to these multiple cores (Davies et al., 2018; Merolla et al., 2014). A large number of spikes cause spike congestion between the cores, thereby considerably increasing the communication over...
- International Workshop on Reconfigurable Communication-centric Systems-on-chip 被引量: 11发表: 2012年 A case for spiking neural network simulation based on configurable multiple-FPGA systems Recent neuropsychological research has begun to reveal that neurons encode information in the timing of spikes....