1 code implementation • 8 Apr 2019 • Hongxin Wang, Jigen Peng, Xuqiang Zheng, Shigang Yue
The directional contrast and the extracted motion information by the motion pathway are integrated in the mushroom body for small target discrimination.
1 code implementation • 20 Jan 2018 • Hongxin Wang, Jigen Peng, Shigang Yue
Discriminating targets moving against a cluttered background is a huge challenge, let alone detecting a target as small as one or a few pixels and tracking it in flight.
no code implementations • 1 May 2018 • Hongxin Wang, Jigen Peng, Shigang Yue
However, if there exists a feedback loop in the STMD visual pathway or if a feedback loop could significantly improve the detection performance of STMD neurons, is unclear.
no code implementations • 22 Jan 2018 • Hongxin Wang, Jigen Peng, Shigang Yue
A class of specialized neurons, called lobula plate tangential cells (LPTCs) has been shown to respond strongly to wide-field motion.
no code implementations • 2 Jul 2018 • Angang Cui, Meng Wen, Haiyang Li, Jigen Peng
In this paper, we develop a nonconvex approach to the problem of low-rank and sparse matrix decomposition.
no code implementations • 18 Mar 2019 • Hongxin Wang, Jigen Peng, Qinbing Fu, Huatian Wang, Shigang Yue
To address this issue, we develop a new visual system model for small target motion detection against cluttered moving backgrounds.
no code implementations • 29 Dec 2019 • Hongxin Wang, Huatian Wang, Jiannan Zhao, Cheng Hu, Jigen Peng, Shigang Yue
Discriminating small moving objects within complex visual environments is a significant challenge for autonomous micro robots that are generally limited in computational power.
no code implementations • 27 Apr 2021 • Hongxin Wang, Jiannan Zhao, Huatian Wang, Cheng Hu, Jigen Peng, Shigang Yue
The developed visual system comprises three main subsystems, namely, an attention module, an STMD-based neural network, and a prediction module.
no code implementations • 18 Nov 2022 • Hongxin Wang, Zhiyan Zhong, Fang Lei, Xiaohua Jing, Jigen Peng, Shigang Yue
The first subnetwork is designed to extract spatial and temporal motion patterns of cluttered backgrounds by neuronal ensemble coding.