# Broadband All‐Optical Memtransistor Based on Organic Cocrystals for Noise‐Robust Motion Recognition

## TL;DR

A new all-optical synaptic device using organic cocrystals enables efficient and noise-resistant motion recognition in neuromorphic computing systems.

## Contribution

A broadband all-optical memtransistor with highly linear synaptic plasticity and low nonlinearity is introduced for neuromorphic computing.

## Key findings

- The device enables fully light-driven modulation of synaptic weights across a wide wavelength range (395–808 nm).
- It achieves high linear LTP/LTD characteristics with ultralow nonlinearity and asymmetry ratio.
- Integrated into a CNN-LSTM network, it reaches 98.77% accuracy in 6 training epochs for motion recognition.

## Abstract

All‐optical artificial synaptic devices offer promising potential for neuromorphic computing, yet their development is hindered by limited spectral tunability and poor plasticity linearity. Here, a broadband all‐optical synaptic memtransistor based on organic charge transfer cocrystals (DTT‐TCNQ) is reported, which enables fully light‐driven and reversible modulation of synaptic weights across a wide wavelength range (395–808 nm). The device exhibits bidirectional excitatory and inhibitory photoresponses, and achieves highly linear long‐term potentiation and depression (LTP/LTD) characteristics with ultralow nonlinearity (αp = 0.00191, αd = 0.00305) and asymmetry ratio (AR = 0.00114), attributed to a synergistic strategy combining frequency modulation and photoelectric coupling. When integrated into a convolutional neural long short‐term memory network (CNN‐LSTM) hybrid network, the device enables rapid convergence (98.77% accuracy in 6 training epochs) and robust recognition performance under spatiotemporal noise, outperforming conventional light‐write/electric‐erasing schemes. This work bridges material‐level innovation and system‐level functionality, offering a scalable approach toward energy‐efficient, noise‐resilient neuromorphic vision systems.

This work presents an all‐optical synaptic transistor using DTT‐TCNQ organic charge transfer cocrystals, achieving broadband bidirectional modulation (395–808 nm) with highly linear synaptic plasticity (nonlinearity coefficients αp = 0.00191, αd = 0.00305). The device demonstrates robust neuromorphic computing performance, reaching 98.77% accuracy within 6 training epochs in CNN‐LSTM networks for dynamic vision recognition.