Summary
International Symposium on Nonlinear Theory and its Applications
2017
Session Number:A2L-E
Session:
Number:A2L-E-4
Towards a Neuromorphic Computing Hardware System
Yoshihiko Horio,
pp.189-192
Publication Date:2017/12/4
Online ISSN:2188-5079
Summary:
A brainmorphic hardware paradigm is proposed as a natural extension of the neuromorphic paradigm. A neuromorphic computing hardware system based on the brainmorphic paradigm processes information mimicking the anatomical and physiological mechanisms of cranial nervous system. In addition, we naturally use physical and dynamical characteristics of the constituent devices especially through analog circuits. Furthermore, we reflect the latest knowledge from brain science, in particular, that for higher-order brain functions including consciousness into the hardware. We also consider and utilize the bodily and environmental constraints, and evolutionary gain-of-function for novel hardware system.