We present a mixed-mode analog/digital VLSI device comprising an array of leaky integrate-
and-fire (I&F) neurons, adaptive synapses with spike-timing dependent plasticity, and an …

If biological inspiration can be used to build robots that deal robustly with complex
environments, it should be possible to demonstrate that 'biorobots' can function in natural …

This paper presents a digital silicon neuronal network which simulates the nerve system in
creatures and has the ability to execute intelligent tasks, such as associative memory. Two …

We have constructed a nerve membrane using MOSFET circuitry, which can be a basic
element of an FET-based neural system. Its mechanism of action potentials generation is …

Inspired by neurobiological systems, Spiking Neural Networks (SNNs) are gaining an
increasing interest in the field of bio-inspired machine learning. Neurons, as central …

Neuron circuits are the fundamental building blocks in the modern neuromorphic system.
Designing compact and low‐power neuron circuits can significantly improve the overall area …

Silicon neuron is electrical circuit that is analogous to biological neurons. Conventionally, it
was designed mainly in the following two attitudes. One is to realize circuitry that is as close …

Neuroscientists often propose detailed computational models to probe the properties of the
neural systems they study. With the advent of neuromorphic engineering, there is an …

In this study, a compact CMOS integrate-and-fire (I&F) neuron circuit embedding an
operational transconductance amplifier (OTA) has been designed for enhancing the fidelity …

Very Large Scale Integration (VLSI) based neuromorphic circuits also known as Silicon
Neurons (SiNs) emulate the electrophysiological behavior of biological neurons. With the …