title: Sequence memory based on coherent spin-interaction neural networks.
abstract: Sequence information processing, for instance, the sequence memory, plays an important role on many functions of brain. In the workings of the human brain, the steady-state period is alterable. However, in the existing sequence memory models using heteroassociations, the steady-state period cannot be changed in the sequence recall. In this work, a novel neural network model for sequence memory with controllable steady-state period based on coherent spininteraction is proposed. In the proposed model, neurons fire collectively in a phase-coherent manner, which lets a neuron group respond differently to different patterns and also lets different neuron groups respond differently to one pattern. The simulation results demonstrating the performance of the sequence memory are presented. By introducing a new coherent spin-interaction sequence memory model, the steady-state period can be controlled by dimension parameters and the overlap between the input pattern and the stored patterns. The sequence storage capacity is enlarged by coherent spin interaction compared with the existing sequence memory models. Furthermore, the sequence storage capacity has an exponential relationship to the dimension of the neural network.
authors.affiliation: College of Information and Control Science, Nanjing University of Information Science and Technology, Nanjing, 210044, China, and Institute of Textiles and Clothing, Hong Kong Polytechnic University, 999077, Hong Kong xiamin_wh@hotmail.com.
authors.forename: Min
authors.initials: M
authors.lastname: Xia
authors.forename: W K
authors.initials: WK
authors.lastname: Wong
authors.forename: Zhijie
authors.initials: Z
authors.lastname: Wang
mesh_terms: D001245:Association Learning; D003198:Computer Simulation; D006801:Humans; D011939:Mental Recall / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*