一个生物启发的概率神经网络模型,用于对抗噪音的碰撞感知
Jialan Hong1, Xuelong Sun1, Jigen Peng1
1Machine Life and Intelligence Research Centre, School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China.
Biomimetics (Basel, Switzerland)
|March 27, 2024
概括
这项研究引入了一种概率的球巨型运动探测器 (LGMD) 模型,以改善碰撞感知. 新型号在复杂的视觉环境中提高了噪声耐受性,优于传统方法.
科学领域:
- 计算神经科学是一种神经科学.
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
背景情况:
- 洛布拉巨型运动探测器 (LGMD) 模型用于碰撞感知.
- 目前的LGMD模型在动态环境中与噪音信号作斗争.
- 生物突触传输具有固有的随机性,有助于降低噪声.
研究的目的:
- 为增强碰撞感知开发一个概率性LGMD (Prob-LGMD) 模型.
- 为了结合突触概率来捕捉信号的不确定性.
- 在生物启发的视觉处理模型中提高噪声耐受性.
主要方法:
- 开发了一个具有概率性的突触连接的概率性LGMD (Prob-LGMD) 模型.
- 测试了Prob-LGMD模型与传统的LGMD模型和工程噪声过器相比.
- 利用各种各样的视觉刺激,包括室内和室外场景与人工噪音.
主要成果:
- 与所有比较方法相比,Prob-LGMD模型显示出卓越的性能.
- 在拟议的模型中观察到噪声耐受性的显著改善.
- 该模型有效地处理信号传输和集成中的不确定性.
结论:
- 在噪音条件下,Prob-LGMD模型为碰撞感知提供了强大的解决方案.
- 这种概率方法为生物启发的视觉系统提供了简单而有效的增强.
- 这些发现凸显了将生物随机性纳入人工系统的潜力.
相关概念视频
01:01Neuroplasticity
344
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
344
01:28Perception
453
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
453