Frontiers in Neuromorphic Engineering is a Specialty Section of Frontiers in Neuroscience.
Neuromorphic Engineering is a new emerging and interdisciplinary field which takes inspiration from biology, physics, mathematics, computer science and engineering to design hardware artificial neural and sensory systems.
Neuromorphic systems carry out robust and efficient computation using low-power, massively parallel hybrid analog/digital VLSI circuits, and operate using the same physics of computation used by the nervous system.
Although there are several forums for presenting research achievements in neuromorphic engineering, none are exclusively dedicated to this increasingly large research community. Either because they are dedicated to single disciplines, such as electrical engineering or computer science, or because they serve research communities which focus on analogous areas (such as biomedical engineering or computational neuroscience), but with fundamentally different goals and objectives.
The mission of Frontiers in Neuromorphic Engineering is to provide a publication medium dedicated exclusively and specifically to this field.
Topics covered by this publication include:
- Analog and hybrid analog/digital electronic circuits for implementing neural processes,
such as conductances, neurons, synapses, plasticity mechanisms, photoreceptors,
cochleae, etc.
- Hardware models of neural and sensorimotor processing systems, such as selective
attention systems, coordinate transformation systems, auditory and/or visual processing
systems, sensory fusion systems, etc.
- Neuromorphic circuits and systems for implementing real-time event-based neural
processing architectures.
- Embedded neuromorphic systems, including actuated or robotic platforms which process
sensory signals and interact with the environment using event-based sensors and
circuits.
- Hardware implementations of neural computational systems found in insects, birds,
mammals, etc.
To ensure high quality and state-of-the-art material, all publications should demonstrate experimental results, using physical implementations of neuromorphic systems (i.e., not just software simulations), and show the links between the artificial model and the neural/biological system, possibly with quantitative performance or response-property comparisons.
Frontiers in Neuromorphic Engineering welcomes the following
tier 1 article types: Book Review, Editorial, General Commentary, Hypothesis & Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Specialty Grand Challenge and Technology Report.
All articles must be submitted directly to Frontiers in Neuromorphic Engineering, where they are processed by the associate and review editors of the Specialty Section.
All articles published in Frontiers in Neuromorphic Engineering will be subjected to the
Frontiers Evaluation System after online publication. Authors of the
original research articles with the highest impact, as judged by many expert readers, will be invited by the Field Chief Editor of Frontiers in Neuroscience to write a prestigious Frontiers
Focused Review - a tier 2 article. This is referred to as "
democratic tiering". The selection is based on the reader impact over a 4-month period from the date of publication. The selected high impact articles are re-written in a review style centered on the original discovery, and aim to address the wider audience across all of Neuroscience.