论文标题
一种用于持续学习的生物学上合理的视听整合模型
A Biologically Plausible Audio-Visual Integration Model for Continual Learning
论文作者
论文摘要
灾难性遗忘的问题有30多年的历史,尚未得到完全解决。由于人脑具有进行持续终身学习的自然能力,因此从大脑中学习可能会为此问题提供解决方案。在本文中,我们提出了一种新型的生物学上合理的视听整合模型(AVIM),基于以下假设:在学习过程中,在学习过程中,音频和视觉感知信息的整合对于形成概念并使持续学习成为可能至关重要。具体来说,我们使用多室Hodgkin-Huxley神经元来构建模型,并采用基于钙的突触标记并捕获作为模型的学习规则。此外,我们定义了一种新的持续学习范式,以模拟人脑中可能的持续学习过程。然后,我们在此新范式下测试我们的模型。我们的实验结果表明,与OWM,ICARL和GEM等其他高级方法相比,提出的AVIM可以实现最新的持续学习绩效。此外,它可以在学习过程中生成对象的稳定表示。这些结果支持我们的假设,即概念形成对于连续的终身学习至关重要,并认为提出的AVIM是可能的概念形成机制。
The problem of catastrophic forgetting has a history of more than 30 years and has not been completely solved yet. Since the human brain has natural ability to perform continual lifelong learning, learning from the brain may provide solutions to this problem. In this paper, we propose a novel biologically plausible audio-visual integration model (AVIM) based on the assumption that the integration of audio and visual perceptual information in the medial temporal lobe during learning is crucial to form concepts and make continual learning possible. Specifically, we use multi-compartment Hodgkin-Huxley neurons to build the model and adopt the calcium-based synaptic tagging and capture as the model's learning rule. Furthermore, we define a new continual learning paradigm to simulate the possible continual learning process in the human brain. We then test our model under this new paradigm. Our experimental results show that the proposed AVIM can achieve state-of-the-art continual learning performance compared with other advanced methods such as OWM, iCaRL and GEM. Moreover, it can generate stable representations of objects during learning. These results support our assumption that concept formation is essential for continuous lifelong learning and suggest the proposed AVIM is a possible concept formation mechanism.