> For the complete documentation index, see [llms.txt](https://elishai.gitbook.io/neuromorphic-engineering/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://elishai.gitbook.io/neuromorphic-engineering/architect-perspective/8.-neuromorphic-hardware.md).

# 8. Neuromorphic Hardware

Chapter 8

From the computer architect’s perspective, neuromorphic hardware has the potential to shed light on some of the greatest challenges in chip design: thermal management and memory wall. Neuromorphic systems emulate the organization and function of nervous systems. They are comprised of analog and digital electronic circuits, fabricated using the Complementary Metal-Oxide-Semiconductor (CMOS) technology using Very Large-Scale Integration (VLSI). These neuromorphic systems directly embody the physical processes that underlie the computations of neural systems in their CMOS circuits. Neuromorphic hardware offers a method of exploring neural computation in a medium whose physical behavior is analogous to biological nervous systems and operates in real-time, irrespective of size. This chapter will review the most basic building blocks in neuromorphic electronics and the design of Silicon neurons (SiN).

![](https://1487620879-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MiS7NytljlKs-2Yccqw%2F-Mj4A7xE2C_ww8dHt6R_%2F-Mj4BGVPXnZI-N13dARb%2FScreen%20Shot%202021-09-08%20at%2014.35.19.png?alt=media\&token=6c6654aa-d94f-480e-bc51-82edad312056)