@inbook{c0e2c8dd2fb7491ab2b87f7b8428bee1,
title = "Temporal learning in multilayer spiking neural networks through construction of causal connections",
abstract = "This chapter presents a new supervised temporal learning rule for multilayer spiking neural networks. We present and analyze the mechanisms utilized in the network for the construction of causal connections. Synaptic efficacies are finely tuned for resulting in a desired post-synaptic firing status. Both the PSD rule and the tempotron rule are extended to multiple layers, leading to new rules of multilayer PSD (MutPSD) and multilayer tempotron (MutTmptr). The algorithms are applied successfully to classic linearly non-separable benchmarks like the XOR and the Iris problems.",
author = "Qiang Yu and Huajin Tang and Jun Hu and Tan, {Kay Chen}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.",
year = "2017",
doi = "10.1007/978-3-319-55310-8_6",
language = "English",
series = "Intelligent Systems Reference Library",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "115--129",
booktitle = "Intelligent Systems Reference Library",
address = "Germany",
}