Brainmorphic computing: Paradigm and hardware
Year: 2025
Type: article
Abstract: A brainmorphic computing (BMC) paradigm, a new framework for brain-like computing, is necessary for realizing a highly efficient and high-performance brain-specific information processing that emerged evolutionarily in the brain. The BMC paradigm should consider the tight relationship between complex structure and computation, high-dimensional integrated dynamics, embodiment, and computation through biophysical phenomena. Furthermore, a dedicated hardware, i.e., brainmorphic computing hardware (BMC-HW), is mandatory for reproducing the BMC paradigm, through which highly efficient, high-performance, and brain-like computation can be realized as a practical engineering system. It is natural and essential to employ continuous-value and continuous-time physical phenomena in BMC-HW like the brain. This study reviews the BMC paradigm and BMC-HW framework with some implementation examples, which we have developed. In addition, extensions of the BMC paradigm and BMC-HW framework to a complex spatiotemporal information processing through event-driven, continuous-value, continuous-time, asynchronous spiking neural networks are discussed, which is closer to the way the brain processes information. Furthermore, novel device and circuit technologies to realize the extended BMC paradigm are introduced.
DOI: 10.1587/nolta.16.312
Author: Yoshihiko Horio
Institutions: Tohoku University, Teikyo University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411796126