Corpus ID: 212634028

Spike-Timing-Dependent Inference of Synaptic Weights

@article{Ahmad2020SpikeTimingDependentIO,
  title={Spike-Timing-Dependent Inference of Synaptic Weights},
  author={Nasir Ahmad and Luca Ambrogioni and Marcel van Gerven},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.03988}
}
  • Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven
  • Published in ArXiv 2020
  • Mathematics, Biology, Computer Science
  • A potential solution to the weight transport problem, which questions the biological plausibility of the backpropagation of error algorithm, is proposed. We derive our method based upon an (approximate) analysis of the dynamics of leaky integrate-and-fire neurons. We thereafter validate our method and show that the use of spike timing alone out-competes existing biologically plausible methods for synaptic weight inference in spiking neural network models. Furthermore, our proposed method is… CONTINUE READING

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