名词序列统计影响序列回忆和顺序识别记忆
Steven C Schwering1, Maryellen C MacDonald1
1Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA.
Open mind : discoveries in cognitive science
|August 28, 2023
概括
语言过程通过利用自然语言模式,帮助语言工作记忆创建新的名词序列. 这项研究表明,对这些序列的回忆和顺序识别有所改善,即使不熟悉.
科学领域:
- 认知心理学 认知心理学
- 心理语言学 心理语言学
- 神经科学是一个神经科学.
背景情况:
- 传统理论认为语言理解和生产辅助口头工作记忆 (VWM) 对于熟悉的序列,但不是新的序列.
- 新兴的语言理论表明,语言过程可以支持VWM,即使是新词列表.
研究的目的:
- 调查类似于自然语言模式的新名词序列是否增强了VWM.
- 为了确定语言知识是否影响新词序列的回忆和顺序识别.
主要方法:
- 语料库分析以确定反映自然语言模式的新两名词序列.
- 与反向对照相比,三项涉及大学生的实验评估了这些序列的回忆和顺序识别.
主要成果:
- 与会者表现出明显更好的回忆新名词序列,近似自然语言模式相比,他们的反向对手.
- 在较长的时间尺度上观察到这些序列的顺序识别得到了改进.
- 这些发现表明,语言知识影响了新奇序列的记忆.
结论:
- 语言工作记忆和顺序识别是通过语言知识来调节的,即使是针对新兴刺激.
- 接近自然语言模式的新型备忘录在VWM中得到更有效的处理和保留.
- 这支持语言过程在支持新序列的记忆中的作用.
更多相关视频
08:45A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets
Published on: December 5, 2014
9.2K
08:05Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
7.6K
相关概念视频
Serial Position Effect
196
The serial position effect is a cognitive phenomenon where individuals are more likely to recall the first and last items in a list compared to those in the middle. This effect is divided into the primacy effect and the recency effect. The primacy effect is observed when the initial items in a list are remembered better. This occurs because these items are rehearsed more frequently or receive more elaborative processing, allowing them to be encoded into long-term memory more effectively. For...
196
Chunking and Rehearsal in Sensory Memory
242
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
242
Per-Unit Sequence Models
93
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
93
Signal Sequences and Sorting Receptors
5.4K
Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
5.4K
Maxam-Gilbert Sequencing
11.2K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
Challenges of the Maxam-Gilbert Method
The...
11.2K
RNA-seq
10.1K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.1K
