Programmable polyaniline nano neural network. A simple physical model

TL;DR

This paper presents a physical model of a programmable neural network using nanostructured polyaniline, capable of real-time parallel analysis of multiple inputs through controlled nanowire growth.

Contribution

It introduces a novel physical model of a neural network based on polyaniline nanowires with programmable features and real-time multi-input processing capabilities.

Findings

Network responds to input line activation and amplitude.

System can analyze multiple signals in parallel.

Demonstrates real-time signal processing.

Abstract

Here we report a working physical model of a programmable neural nanonetwork based on a nanostructured conductive polymer - polyaniline. The device can be programmed owing to controlled growth of nanowires, a method developed in our laboratory. The response (output signal) of the network depends on the activated input line, but also on the amplitude of the input signals. The system is able to analyze multiple input signals in parallel and in real time. This is still considered as a challenge.