Use for questions related to use of electronic circuits to mimic neuro-biological architectures present in the nervous system or in neural networks. ("Neuromorphic computing" is sometimes used synonomouosly)

The term neuromorphic has been used to describe analog, digital, mixed-mode analog/digital VLSI, and software systems that implement models of neural systems (for perception, motor control, or multisensory integration).

A key aspect of neuromorphic engineering is understanding how the morphology of individual neurons, circuits, applications, and overall architectures creates desirable computations, affects how information is represented, influences robustness to damage, incorporates learning and development, adapts to local change (plasticity), and facilitates evolutionary change.

Neuromorphic engineering is an interdisciplinary subject that takes inspiration from biology, physics, mathematics, computer science, and electronic engineering to design artificial neural systems, such as vision systems, head-eye systems, auditory processors, and autonomous robots, whose physical architecture and design principles are based on those of biological nervous systems

Excerpted from Neuromorphic engineering (wiki)

See Also:

https://arxiv.org/pdf/1705.06963.pdf

https://www.nature.com/articles/nature23011

https://spectrum.ieee.org/semiconductors/design/neuromorphic-chips-are-destined-for-deep-learningor-obscurity

https://science.energy.gov/~/media/bes/pdf/reports/2016/NCFMtSA_rpt.pdf

https://www.nist.gov/news-events/events/2017/11/introduction-neuromorphic-computing-why-it-so-efficient-pattern

https://www.humanbrainproject.eu/en/silicon-brains/

https://web.stanford.edu/group/brainsinsilicon/about.html

https://www.technologyreview.com/s/526506/neuromorphic-chips/

https://www.forbes.com/sites/adrianbridgwater/2018/01/03/neuromorphic-computing-will-build-human-like-machine-brains/#3c47c0d37124

http://www.wired.co.uk/article/ai-neuromorphic-chips-brains