Polarization-Driven Multimodal Synapses with Homologous Regulation for Emotion-Vision Mapping

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Authors: Weibo Gao, Yanhui Liu, Donglai Xue, Jianguo Niu, Cong Wang (107450), Yaoxiang Jiang, Xiaohui Shi, Qiaoxuan Zhang, Shifeng Zhao
Cited by: 0

Abstract

Multimodal synapses with hybrid signal processing mechanism are promising to enable complex functions of neural computing. However, the absent homology of physical mechanisms for bionic-coupled mapping behavior hinders multimodal synaptic application. Here, based on polarization dynamics, we explore a homeotic mechanism to achieve the multimodal mapping of emotion simulation and visual bionics in BaTiO3-based photo-ferroelectric synapses. Synaptic plasticity for multi-emotional evolution arises from weight-featured resistance switching in various ferroelectric memristors through polarization-modulated interfacial barrier. Based on the regulation homology of polarization dynamics for bulk photovoltaic effect, the optical synaptic responses of visual bionics are coupled into a precise emotion mapping with arousal-valence dimensions. These multimodal photo-ferroelectric synapses complete precise digit-pattern recognition within artificial neural network system and possess rectifications against crosstalk and superior high thermal stability. Circuit simulations of opto-electronic mapping response display the application potential of multimodal synapse as smart decoupling components for balanced ternary computing. Our results provide a paradigm for designing multimodal devices with synergistic and coupled multi-synaptic functions.

Fields of Study & Subjects

Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices Multiferroics and related materials

Publication details

Journal / source
AIP Publishing
Publication date
5 March 2026
Language
EN