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An efficient brain-heart coupling learning system for emotion recognition.

Dongrui Gao1, Liu Deng2, Zongyao Peng3

  • 1School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China; School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Neural Networks : the Official Journal of the International Neural Network Society
|March 19, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces the Neural-inspired Emotional Perception Learning system (NEAL) to better understand emotion perception by analyzing brain-heart activity. NEAL effectively mines brain-heart patterns, improving emotion recognition systems.

Keywords:
Brain-heart couplingEmotion recognitionLearning systemNeural activity

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Affective Computing

Background:

  • Brain and heart activity are crucial for emotional perception.
  • Dynamic brain-heart correlations challenge current emotion recognition systems.
  • Existing methods offer superficial understanding of emotion perception.

Purpose of the Study:

  • To develop a novel system for mining brain-heart driving patterns in emotion perception.
  • To improve the understanding of emotion perception by capturing representative brain-heart coupling models.
  • To enhance emotion recognition systems through better analysis of neural and cardiac data.

Main Methods:

  • Introduced a neural-inspired emotional perception learning system (NEAL).
  • Employed a multi-kernel filter for semantic alignment representation.
  • Utilized a bilinear fusion module for local brain-heart dynamic correlation.
  • Designed a cross-perception mechanism with dynamic routing for global representations and bidirectional communication.

Main Results:

  • The NEAL system demonstrated significant performance advantages over existing methods on Dreamer, MPED, and MAHNOB-HCI datasets.
  • Successfully improved the understanding of emotion perception.
  • Provided a new solution for revealing emotion-related neural activities.

Conclusions:

  • The NEAL system effectively models brain-heart coupling for enhanced emotion perception.
  • This research offers a novel approach to analyzing complex brain-heart interactions in emotional states.
  • The findings contribute to advancing emotion recognition and understanding neural correlates of emotion.