Neuromorphic engineering/computing
- Submission status
- Open
- Submission deadline
Neuromorphic computing is an area of engineering that seeks to emulate the biophysical architecture of our nervous system. Such models can take a variety of forms including hardware chips composed of ‘silicon neurons’, as well as software implementations of neural systems. Artificial neural systems have been previously successfully demonstrated, and are now inspiring a new generation of computing technologies that exploit the physics of computation present in biological neural systems.
This Collection brings together the latest results in the topic of neuromorphic engineering, spanning from the design of artificial neural systems to their experimental realisations.
Editors
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Ahmedullah Aziz
University of Tennessee Knoxville, USA
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Bhagwati Prasad
Indian Institute of Science, India
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J. Joshua Yang
University of Southern California, USA
Collections articles undergo Scientific Reports' standard peer review process and are subject to all of the journal’s standard policies. This includes the journal’s policy on competing interests. The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.
This Collection has not been supported by sponsorship.
