Biological Neuron Coding Inspired Binary Word Embeddings

doi:10.1007/s12559-019-09643-1

CORC > 自动化研究所 > 中国科学院自动化研究所 > 类脑智能研究中心 > 类脑认知计算

	Biological Neuron Coding Inspired Binary Word Embeddings
	Wang, Yuwei 2,3; Zeng, Yi 1,2,3,4; Tang, Jianbo 2,3; Xu, Bo 2,3,4
刊名	COGNITIVE COMPUTATION
	2019-10-01
卷号	11 期号:5 页码:676-684
关键词	Word embeddings Neuron coding Spiking neural networks
ISSN号	1866-9956
DOI	10.1007/s12559-019-09643-1
通讯作者	Zeng, Yi(yi.zeng@ia.ac.cn)
英文摘要	Word embeddings are the semantic representations of the words. They are derived from large corpus and work well on many natural language tasks, with one downside of costing large memory space. In this paper, we propose binary word embedding models based on inspirations from biological neuron coding mechanisms, converting the spike timing of neurons during specific time intervals into binary codes, reducing the space and speeding up computation. We build three types of models to post-process the original dense word embeddings, namely, the homogeneous Poission processing-based rate coding model, the leaky integrate-and-fire neuron-based model, and the Izhikevich's neuron-based model. We test our binary embedding models on word similarity and text classification tasks of five public datasets. The experimental results show that the brain-inspired binary word embeddings (which reduce approximately 68.75% of the space) get similar results to original embeddings for word similarity task while better performance than traditional binary embeddings on text classification task.
资助项目	Strategic Priority Research Program of Chinese Academy of Sciences[XDB32070100] ; Beijing Municipality of Science and Technology[Z181100001518006] ; CETC Joint Fund[6141B08010103] ; Major Research Program of Shandong Province[2018CXGC1503]
WOS关键词	NETWORKS ; CELLS ; INFORMATION ; MODEL
WOS研究方向	Computer Science ; Neurosciences & Neurology
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000495244800006
资助机构	Strategic Priority Research Program of Chinese Academy of Sciences ; Beijing Municipality of Science and Technology ; CETC Joint Fund ; Major Research Program of Shandong Province
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/28876]
专题	类脑智能研究中心_类脑认知计算
通讯作者	Zeng, Yi
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yuwei,Zeng, Yi,Tang, Jianbo,et al. Biological Neuron Coding Inspired Binary Word Embeddings[J]. COGNITIVE COMPUTATION,2019,11(5):676-684.
APA	Wang, Yuwei,Zeng, Yi,Tang, Jianbo,&Xu, Bo.(2019).Biological Neuron Coding Inspired Binary Word Embeddings.COGNITIVE COMPUTATION,11(5),676-684.
MLA	Wang, Yuwei,et al."Biological Neuron Coding Inspired Binary Word Embeddings".COGNITIVE COMPUTATION 11.5(2019):676-684.