首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >LIF and Simplified SRM Neurons Encode Signals Into Spikes via a Form of Asynchronous Pulse Sigma–Delta Modulation
【24h】

LIF and Simplified SRM Neurons Encode Signals Into Spikes via a Form of Asynchronous Pulse Sigma–Delta Modulation

机译:LIF和简化的SRM神经元通过异步脉冲Sigma-Delta调制形式将信号编码为尖峰信号

获取原文
获取原文并翻译 | 示例

摘要

We show how two spiking neuron models encode continuous-time signals into spikes (action potentials, time-encoded pulses, or point processes) using a special form of sigma-delta modulation (SDM). In particular, we show that the well-known leaky integrate-and-fire (LIF) neuron and the simplified spike response model (SRM0) neuron encode the continuous-time signals into spikes via a proposed asynchronous pulse SDM (APSDM) scheme. The encoder is clock free using level-crossing sampling with a single-level quantizer, unipolar signaling, differential coding, and pulse-shaping filters. The decoder, in the form of a low-pass filter or bandpass smoothing filter, can be fed with the spikes to reconstruct an estimate of the signal. The density of the spikes reflects the amplitude of the encoded signal. Numerical examples illustrating the concepts and the signaling efficiency of APSDM vis-à-vis SDM for comparable reconstruction accuracies are presented. We anticipate these results will facilitate the design of spiking neurons and spiking neural networks as well as cross fertilizations between the fields of neural coding and the SDM.
机译:我们展示了两个尖峰神经元模型如何使用特殊形式的sigma-delta调制(SDM)将连续时间信号编码为尖峰(动作电位,时间编码的脉冲或点过程)。特别是,我们表明,众所周知的泄漏积分和发射(LIF)神经元和简化的尖峰响应模型(SRM0)神经元通过提出的异步脉冲SDM(APSDM)方案将连续时间信号编码为尖峰。该编码器采用单电平量化器的电平交叉采样,单极信令,差分编码和脉冲整形滤波器,无需时钟。可以将低通滤波器或带通平滑滤波器形式的解码器接收到尖峰信号,以重建信号的估计值。尖峰的密度反映了编码信号的幅度。给出了数值示例,说明了可比较的重构精度下APSDM与SDM相对于SDM的概念和信令效率。我们预计这些结果将有助于尖峰神经元和尖峰神经网络的设计以及神经编码和SDM领域之间的交叉受精。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号