Impact Factor 4.677 | CiteScore 5.4
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Neuromorphic systems carry out robust and efficient neural computation using hardware implementations that operate in physical time. Typically they are event- or data-driven, they employ low-power, massively parallel hybrid analog/digital VLSI circuits, and they operate using the same physics of computation used by the nervous system. Since 2011, Frontiers in Neuromorphic Engineering has been the only publication exclusively dedicated to our community.
Topics covered by this publication include:
The past decade has also seen a significant increase in research into novel devices for on-chip non-volatile storage of synaptic weights. We are keenly interested in the use of devices, such as memristors, in Neuromorphic Systems, and welcome papers describing such neuromorphic applications. However, pure device physics, device models, and material engineering manuscripts are outside the scope of Frontiers in Neuromorphic Engineering.
To ensure high quality and state-of-the-art material, publications should demonstrate experimental results, and where possible show the links between the artificial system and the neural/biological one they model.
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PMCID: all published articles receive a PMCID
Neuromorphic Engineering welcomes submissions of the following article types: Case Report, Clinical Trial, Community Case Study, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Systematic Review and Technology and Code.
All manuscripts must be submitted directly to the section Neuromorphic Engineering, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
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