Impact of Synaptic Strength on Propagation of Asynchronous Spikes in Biologically Realistic Feed-Forward Neural Network-Reference-Cited by-同舟云学术

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Impact of Synaptic Strength on Propagation of Asynchronous Spikes in Biologically Realistic Feed-Forward Neural Network

Published:2020-05 Issue:4 Volume:14 Page:646-653
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Faraz Sayan^ORCID,Mellal Idir^ORCID,Lankarany Milad^ORCID

Funder

Dr. Krembil Research Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/4200690/9163420/09050894.pdf?arnumber=9050894

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Method for Predicting the Academic Performances of College Students Based on Education System Data;Mathematics;2022-10-11

2. The passive properties of dendrites modulate the propagation of slowly-varying firing rate in feedforward networks;Neural Networks;2022-06

3. Ten simple rules for creating a brand-new virtual academic meeting (even amid a pandemic);PLOS Computational Biology;2020-12-18

4. Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate;Frontiers in Computational Neuroscience;2020-07-29

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