XinYi Du
ABSTRACT
False memory is a common phenomenon in our daily life. This article discussed the situation of forming false memory in the three stages (encoding, consolidation, and retrieval) of memory formation. By combining the principles of Artificial Neural Networks, this article illustrated the formation of false memory in a readable and scientific way. This article first introduced the definition of Artificial Neural Networks (ANNs) and some basic concepts of ANNs. Then discussed the similarities between the layers of ANNs and the three stages of false memory formation, and used the illustrating mode of Artificial Neural Networks to explain how false memory appeared in the encoding, consolidation, and retrieval stage. Finally, we used the serial reproduction experiment to explore the character of memory distortion (false memory) and found out that memory distortion has three characteristics: Symmetry, sharpening, and assimilation.
- American Psychological Association. False memory. https://dictionary.apa.org/false-memoryGoogle Scholar
- Experiment Memory. (2010) https://wenku.baidu.com/view/3851b2f8941ea76e58fa04ad.htmlGoogle Scholar
- Wikimedia Foundation. (2021, August 15). Deese–Roediger–McDermott paradigm. https://en.wikipedia.or/wiki/deese-roediger-mcdermott_paradigmGoogle Scholar
- QingHua Zhang(2011) 3.1 basic concept of artificial neural network. In: YaLing Ding, Ye Bai. Artificial intelligence technology and Application, Sinochem Petroleum Press, Peking.p.p.45-50Google Scholar
- Psychology experiment serial reproduction experiment (false memory), I can remember wrong? (2018) https://www.bilibili.com/video/av24886434/Google Scholar
- DAVID R. GERKENS and STEVEN M. SMIMTE. (2002) Effects of perceptual modality on verbatim and gist memory. https://pubmed.ncbi.nlm.nih.gov/15117000/Google Scholar
- Ming Chen.(2015) Side effects of mindfulness meditation. https://www.psychspace.com/psych/?action-viewnews-itemid-11916Google Scholar
- Benjamin Straube.(2012) An overview of the neuro-cognitive processes involved in the encoding, consolidation, and retrieval of true and false memories. http://www.behavioralandbrainfunctions.com/content/8/1/35Google Scholar
- The overview of Memory Research. (2013) https://wenku.baidu.com/view/60de4e24ed630b1c59eeb53a.htmlGoogle Scholar
- The magic number 7+/-2(George Miller).(2019) http://www.360doc.com/content/19/0405/19/9232250_826647327.shtmlGoogle Scholar
- MBA Intelligence Treasury Encyclopedia. https://wiki.mbalib.com/wiki/ Paralled Distributed ProcessingGoogle Scholar
- How to study false memory: a paradigm of experimental psychology.(2021(https://zhuanlan.zhihu.com/p/380304568Google Scholar
- Basic concepts of neural network.(2018) https://blog.csdn.net/jinyuan7708/article/details/82466653Google Scholar
Index Terms
- An Illustration of the False Memory Process Based on The Artificial Neural Networks Model
Recommendations
Noise Suppression by Artificial Neural Networks
AWICT 2017: Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication TechnologiesIn this research paper, noise suppression ability of associative memories (e.g. Hopfield neural network) is briefly summarized. Motivated by this fact, noise suppression abilities of trained convolutional network are discussed. Introducing the concept ...
Time Series Forecasting Using Artificial Neural Networks: A Model for the IBEX 35 Index
Hybrid Artificial Intelligent SystemsAbstractThe amount of data generated daily in the financial markets is diverse and extensive; hence, creating systems that facilitate decision-making is crucial. In this paper, different intelligent systems are proposed and tested to predict the closing ...
Comments