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Optical Control of Living Cells Electrical Activity by Conjugated Polymers

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Neuromorphic Light-Responsive Organic Matter for in Materia Reservoir Computing.

Federico Ferrarese Lupi¹, Mateo Rosero-Realpe^1,2, Antonio Ocarino²

¹Advanced Materials Metrology and Life Science Division, Istituto Nazionale di Ricerca Metrologica (INRiM), Strada delle Cacce 91, Torino, 10135, Italy.

Advanced Materials (Deerfield Beach, Fla.)

|May 13, 2025

Summary

Azopolymers exhibit adaptive, light-responsive properties for neuromorphic computing. These materials can store data and mimic synaptic functions, enabling advanced information processing and visual memory in novel computing systems.

Keywords:

adaptive materials in materia reservoir computing intelligent materials light‐responsive polymers neuromorphic materials physical reservoir computing

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Area of Science:

Materials Science
Neuromorphic Engineering
Photonics

Background:

Adaptive materials offer potential for brain-inspired computing.
Light-responsive systems can emulate biological sensory functions like the human retina.
Azopolymers possess optically-induced molecular dynamics suitable for information processing.

Purpose of the Study:

To demonstrate azopolymers' capability for neuromorphic data processing and in materia computing.
To explore the implementation of synaptic functionalities and memory in azopolymers.
To investigate the use of azopolymers for event detection, motion perception, and reservoir computing.

Main Methods:

Utilizing optically-induced molecular dynamics in azopolymers.
Implementing analog domain data processing.
Exploiting material adaptiveness for synaptic and memory functions.
Applying reservoir computing principles to light-induced dynamics.

Main Results:

Azopolymers demonstrated data storage capabilities.
Synaptic functionalities including short-term, long-term, and visual memory were implemented.
Event detection and motion perception were achieved.
In materia reservoir computing was demonstrated using light-induced dynamics.

Conclusions:

Azopolymers are promising for adaptive, intelligent, photo-responsive systems.
These materials can mimic complex processing abilities of biological systems.
Optically-induced dynamics in azopolymers enable novel computing paradigms.