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Posts by Collection
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publications
A Computationally Efficient Neuronal Model for Collision Detection with Contrast Polarity-Specific Feed-Forward Inhibition
Biomimetics, 2024
This work modeled the optimized LGMD model with contrast-polarity-specific inhibition to improve collision detection efficiency and tested it in embedded robotics.
Attention-Driven LPLC2 Neural Ensemble Model for Multi-Target Looming Detection and Localization
International Joint Conference on Neural Networks (IJCNN), 2025
This work models the lobula plate/lobula columnar, type 2 (LPLC2) neural ensemble of fruit fly Drosophila, enabling robust multi-object looming detection and localization via a multi-attention mechanism.
A biomimetic collision-detection visual neural model coordinating self-and-lateral inhibitions
The 14th International Conference on Biomimetic and Biohybrid Systems (Living Machines 2025), 2025
This work focus on modeling self-inhibition in neural networks for collision perception against translating motion.
A Neuromorphic Binocular Framework Fusing Directional and Depth Motion Cues Towards Precise Collision Prediction
Neurocomputing, 2025
Inspired by insect directionally selective neurons, this study proposes and optimizes a binocular neuromorphic vision model that integrates depth-disparity processing to enhance looming detection and collision prediction.
A Bio-Plausible Neural Network Integrating Motion and Disparity Pathways for Looming Perception
Acta Electronica Sinica, 2025
This paper proposes a bio‑plausible neural network that integrates motion and disparity pathways to achieve robust looming perception and real‑time collision detection, significantly improving depth feature extraction and adaptability in complex environments.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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