Beschrijving
Guest Editor for Special Session in "Neuromorphic Sensing and Computing Systems"Neuromorphic computing is currently being proposed as an alternative and efficient way to carry out computation using principles derived from neuro-biological systems. Although the neuromorphic term has historically been used to describe hardware implementations of neural circuits in analog, digital, or mixed-mode analog/digital VLSI, in recent years, it has also been used to describe a wider spectrum of sensing and computing systems. These systems sometimes include emerging memories, and alternative neuron and synapse technologies. In all cases, the application of neuromorphic systems faces the challenge of building novel algorithms, tools, and architectures that can best cope with the nature of low-power, dense, and parallel elements. The complexity and sophistication of such systems is increasing over time with an unprecedented speed both at the theoretical and technological level.
Thus, in this Special Issue, we aim to start a discussion about the state of the art in neuromorphic sensing and computing systems, analyzing architectures, algorithms, and their potential impact in a broad spectrum of applications.
For this purpose, this Special Issue is open to receiving a variety of meaningful and valuable manuscripts concerning the topic of neuromorphic sensing and computing systems. We welcome work related to hardware architectures, event-based sensing and computing, spiking neural networks, learning systems, and alternative neuromorphic computing paradigms. We will also consider submissions that involve emerging memories and unconventional computing technologies as candidate solutions for the execution of neural information processing in an extremely efficient way.
| Periode | 2021 → 2022 |
|---|---|
| Type tijdschrift | Tijdschrift |
| ISSN | 2079-9292 |