The neuron can be called the main cell of a nervous system that can transmit messages from
one neuron to another neuron or another cell through electrical signals. In neuromorphic …

The development of prostheses and treatments for illnesses and recovery has recently been
centered on hardware modeling for various delicate biological components, including the …

In the pursuit of potential treatments for neurological disorders and the alleviation of patient
suffering, deep brain stimulation (DBS) has been utilized to intervene or investigate …

The neuron is sometimes referred to as the “head” or “central” cell of the nervous system
since it has the ability to communicate with other neurons or cells via electrical impulses …

Recent memristive neuron models have improved the ability of researchers to describe the
operation of biological neurons. We employ FPGA implementation for a memristive neuron …

Effective implementation of spiking neuron models in hardware is crucial for real systems.
Utilizing the main capabilities of FPGAs, this paper introduces a highly precise method for …

This paper investigates the stabilization of highly nonlinear stochastic delayed large-scale
networks (HSDLN) based on asynchronously delayed intermittent decentralized control …

The Cochlea, a spiral-shaped structure in the inner ear, plays a crucial role in the process of
hearing by converting sound waves into electrical signals that the brain can interpret. This …

The use of FPGA technology is becoming more popular for integrating neuromorphic
computing systems because of the parallel processing capabilities and flexibility it offers …

Hardware implementation of new neuron models or improved conventional neuron models
has made a significant contribution to neuromorphic development. One of the important …