Bile Alessandro, Tari Hamed, Pepino Riccardo, Nabizada Arif, Fazio Eugenio
Department of Fundamental and Applied Sciences for Engineering, Sapienza Università di Roma, Via Scarpa 16, 00161 Roma, Italy.
Biomimetics (Basel). 2024 Apr 13;9(4):231. doi: 10.3390/biomimetics9040231.
In recent years, the need for systems capable of achieving the dynamic learning and information storage efficiency of the biological brain has led to the emergence of neuromorphic research. In particular, neuromorphic optics was born with the idea of reproducing the functional and structural properties of the biological brain. In this context, solitonic neuromorphic research has demonstrated the ability to reproduce dynamic and plastic structures capable of learning and storing through conformational changes in the network. In this paper, we demonstrate that solitonic neural networks are capable of mimicking the functional behaviour of biological neural tissue, in terms of synaptic formation procedures and dynamic reinforcement.
近年来,对能够实现生物大脑动态学习和信息存储效率的系统的需求催生了神经形态研究。特别是,神经形态光学诞生于再现生物大脑功能和结构特性的理念。在这种背景下,孤子神经形态研究已证明能够通过网络中的构象变化再现具有学习和存储能力的动态和可塑性结构。在本文中,我们证明了孤子神经网络在突触形成过程和动态强化方面能够模拟生物神经组织的功能行为。