Neuromorphic engineering
The term neuromorphic was coined by Carver Mead in the late ’80s to describe VLSI systems containing electronic analog/digital circuits that exploit the physics of silicon to reproduce the bio-physics of neural circuits present in the nervous system
Main goals
- To understand the computational properties of biological neural systems using standard CMOS VLSI technology as a tool.
- To exploit the known properties of biological systems to design and implement efficient devices for engineering applications.
Principles
- Combine multiple disciplines (neuroscience physics, computer science, electrical engineering,. . . )
- Exploit device physics to directly emulate the biophysics of neural systems.
- Let time represent itself.
- Implement robust computation in autonomous agents that produce cognitive behavior.