Recently, we have a paper entitled “Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference” accepted by the IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

The IEEE Transactions on Neural Networks and Learning Systems (TNNLS) publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems.

The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE PSPB Operations Manual (sections 8.2.1.C & 8.2.2.A). Each published article was reviewed by a minimum of two independent reviewers using a single-anonymous peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors. Articles will be screened for plagiarism before acceptance.