An associative memory device using a magnetic tunnel junction
- Authors
- Suh, Dongik; Choi, Yeonhai; Bae, Gi Yoon; Park, Wanjun
- Issue Date
- May-2015
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- 2015 IEEE International Magnetics Conference, INTERMAG 2015, pp.1 - 1
- Indexed
- SCOPUS
- Journal Title
- 2015 IEEE International Magnetics Conference, INTERMAG 2015
- Start Page
- 1
- End Page
- 1
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157372
- DOI
- 10.1109/INTMAG.2015.7157555
- ISSN
- 0000-0000
- Abstract
- Semiconductor technology for memory and logic devices has been developed to handle large amounts of data with a high operational speed. Attaining the functional abilities of the human brain is a primary goal for advanced modern electronics. Aside from neural networks with neurons and synapses as building blocks utilizing parallel processes to treat massive data, biological memory performs learning functions which are categorized as declarative (explicit) characteristics and non-declarative (implicit) characteristics [1]. While memory devices have a functional resemblance with the declarative memory because information is stored and recalled by declarative statements, artificial learning in neuromorphic approaches requires a distinct architecture differing from the standard CMOS-based electronic devices because the non-declarative memory recalls information by habituation, sensitization and classical conditioning [2].
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