FPGA-Efficient Digital Implementation of a Multiplierless Cochlea–Neuron Interaction Model for Industrial-Scale Neural Systems

Abstract

This article presents a novel digital design methodology for modeling cochlea–neuron interactions, tailored for applications within the scope of industrial electronics, such as real-time biosensing, smart health interfaces, and resource-aware neural signal processing. The proposed model employs a simplified 2-D cochlear structure based on the Hopf oscillator, optimized using linear shift-adder (ADD)-based functions and look-up table-based sampling to eliminate complex multipliers and achieve hardware-friendly, high-speed performance. This hybrid multiplierless architecture aligns with the journal’s focus on efficient digital realization of intelligent systems and field-programmable gate array (FPGA)-based electronic designs. The resulting cochlea–neuron interaction circuit, when implemented on a Xilinx Virtex-II FPGA, demonstrates 1.33× speed-up and supports up to 87 parallel cochlear modules, while maintaining high signal fidelity and neural activation accuracy. Simulation and hardware validation confirm that the proposed system provides a scalable, low-resource solution suitable for emerging industrial biosensing systems, smart auditory devices, and embedded neural interfaces. The methodology contributes to advancing the real-time digital implementation of biologically inspired systems in industrial and biomedical electronics.