Retrieval from memory and cue complexity both trigger exemplar-based processes in judgment

2018 ◽  
Vol 30 (4) ◽  
pp. 406-417
Author(s):  
Arndt Bröder ◽  
Michael Gräf
Keyword(s):  
Retrieval From Memory

Retrieval from Memory or Procedural Strategies for Addition Problems

2011 ◽  
Vol 70 (1) ◽  
pp. 35-39 ◽  
Author(s):  
Muriel Fanget ◽  
Catherine Thevenot ◽  
Caroline Castel ◽  
Michel Fayol
Keyword(s):  
Reaction Times ◽  
Long Term Memory ◽  
Verbal Reports ◽  
Term Memory ◽  
Simple Addition ◽  
Memory Traces ◽  
Addition Problem ◽  
Retrieval From Memory ◽  
Calculation Procedures

In this study, we used a paradigm recently developed ( Thevenot, Fanget, & Fayol, 2007 ) to determine whether 10-year-old children solve simple addition problems by retrieval of the answer from long-term memory or by calculation procedures. Our paradigm is unique in that it does not rely on reaction times or verbal reports, which are known to potentially bias the results, especially in children. Rather, it takes advantage of the fact that calculation procedures degrade the memory traces of the operands, so that it is more difficult to recognize them when they have been involved in the solution of an addition problem by calculation rather than by retrieval. The present study sharpens the current conclusions in the literature and shows that, when the sum of addition problems is up to 10, children mainly use retrieval, but when it is greater than 10, they mainly use calculation procedures.

Repetition and Retrieval from Memory

Science ◽  
1967 ◽  
Vol 158 (3800) ◽  
pp. 532-532 ◽  
Author(s):  
A. W. Melton
Keyword(s):  
Retrieval From Memory

Effects of Low-Pass Filtering on the Rate of Learning and Retrieval from Memory of Speech-Like Stimuli

1974 ◽  
Vol 17 (2) ◽  
pp. 279-285
Author(s):  
Robert Novak ◽  
Julia Davis
Keyword(s):  
Paired Associate ◽  
Memory Task ◽  
Learning Task ◽  
Paired Associate Learning ◽  
Auditory Memory ◽  
Auditory Stimuli ◽  
Associate Learning ◽  
Low Pass ◽  
Rate Of Learning ◽  
Retrieval From Memory

Ten pairs of auditory-visual stimuli were utilized in a paired-associate learning task and a retrieval from auditory memory task presented to two groups of normal-hearing subjects. One group heard unfiltered auditory stimuli and the other group heard the same stimuli under low-pass filtering conditions. The number of trials required to learn the pairs was the measure for the learning task. The number of items recalled after presentation of strings of the auditory stimuli, ranging in length from two to nine items, was the measure of auditory retrieval. Comparison of performance between the two groups indicated that the group that heard filtered auditory stimuli required a significantly greater number of trials to learn the pairs to specifications, and performed significantly poorer in recall of five-item strings of stimuli than the group that heard unfiltered auditory stimuli. There was no difference between the two groups' performance in recall of two-, seven-, and nine-item strings. The effects of filtering are discussed with regard to their implications for understanding certain deficits associated with hearing loss.

scholarly journals Cohort and rhyme priming emerge from the multiplex network structure of the mental lexicon

2018 ◽  
Author(s):  
Massimo Stella
Keyword(s):  
Mental Representation ◽  
Mental Lexicon ◽  
Human Cognition ◽  
Lexical Retrieval ◽  
Priming Effects ◽  
Quantitative Evidence ◽  
Multiplex Network ◽  
Cognitive Patterns ◽  
Phonological Similarities ◽  
Retrieval From Memory

Complex networks recently opened new ways for investigating how language use is influenced by the mental representation of word similarities. This work adopts the framework of multiplex lexical networks for investigating lexical retrieval from memory. The focus is on priming effects, where the processing of couple of words sharing specific features is faster and more accurate. Supported by recent findings of network distance influencing lexical retrieval, the multiplex network approach tests how the layout of hundreds of thousands of word-word similarities in the mental lexicon of words can lead to priming effects on multiple, combined semantic and phonological levels.Results provides quantitative evidence that priming effects are encoded directly in the multiplex structure of the mental representation of words sharing phonemes either in their onsets (cohort priming) or at their ends (rhyme priming). By comparison with randomised null models, both cohort and priming effects are found to be emerging properties of the mental lexicon arising from its multiplexity: These priming effects are absent on individual layers but become prominent on the combined multiplex structure. The emergence of priming effects due to the multiplex nature of the mental lexicon is displayed both in case only semantic layers are considered, an approximated representation of the so-called semantic memory, but also when semantics is enriched with phonological similarities, an approximated representation of the lexical-auditory nature of the mental lexicon. These results indicate that multiplex lexical networks represent an insightful approach for shedding light on the interplay between multiple aspects of language and human cognition, as it can open new paths for the quantification of cognitive patterns in synergy with experimental psycholinguistic data.

scholarly journals Distinct Hippocampal versus Frontoparietal Network Contributions to Retrieval and Memory-guided Exploration

2017 ◽  
Vol 29 (8) ◽  
pp. 1324-1338 ◽  
Author(s):  
Donna J. Bridge ◽  
Neal J. Cohen ◽  
Joel L. Voss
Keyword(s):  
Learning Strategies ◽  
Memory Retrieval ◽  
Passive Control ◽  
Frontoparietal Network ◽  
Guided Learning ◽  
Hippocampal Activity ◽  
Guided Exploration ◽  
Memory Representations ◽  
Time Lagged ◽  
Retrieval From Memory

Memory can profoundly influence new learning, presumably because memory optimizes exploration of to-be-learned material. Although hippocampus and frontoparietal networks have been implicated in memory-guided exploration, their specific and interactive roles have not been identified. We examined eye movements during fMRI scanning to identify neural correlates of the influences of memory retrieval on exploration and learning. After retrieval of one object in a multiobject array, viewing was strategically directed away from the retrieved object toward nonretrieved objects, such that exploration was directed toward to-be-learned content. Retrieved objects later served as optimal reminder cues, indicating that exploration caused memory to become structured around the retrieved content. Hippocampal activity was associated with memory retrieval, whereas frontoparietal activity varied with strategic viewing patterns deployed after retrieval, thus providing spatiotemporal dissociation of memory retrieval from memory-guided learning strategies. Time-lagged fMRI connectivity analyses indicated that hippocampal activity predicted frontoparietal activity to a greater extent for a condition in which retrieval guided exploration occurred than for a passive control condition in which exploration was not influenced by retrieval. This demonstrates network-level interaction effects specific to influences of memory on strategic exploration. These findings show how memory guides behavior during learning and demonstrate distinct yet interactive hippocampal–frontoparietal roles in implementing strategic exploration behaviors that determine the fate of evolving memory representations.

scholarly journals When relative clause extraposition is the right choice, it’s easier

2016 ◽  
Vol 9 (2) ◽  
pp. 332-370 ◽  
Author(s):  
ELAINE J. FRANCIS ◽  
LAURA A. MICHAELIS
Keyword(s):  
Relative Clause ◽  
Visual Cues ◽  
Sentential Context ◽  
The Matrix ◽  
Main Verb ◽  
The Subject ◽  
Conditional Preferences ◽  
The Right ◽  
Retrieval From Memory ◽  
Online Measures

abstractIn one type of Relative Clause Extraposition (RCE) in English, a subject-modifying relative clause occurs in a displaced position following the matrix VP, as in: Some options were considered that allow for more flexibility. Although RCE incurs a discontinuous dependency and is relatively infrequent in discourse, previous corpus and acceptability judgment studies have shown that speakers prefer RCE over adjacent ordering when the RC is long in relation to the VP, the subject NP is indefinite, and the main verb is passive/presentative (Francis, 2010; Francis & Michaelis, 2014; Walker, 2013). The current study is the first to relate these conditional preferences to online measures of production. For a spoken production task that required speakers to construct sentences based on visual cues, results showed that the same factors that modulate choice of structure – VP length, RC length, and definiteness of the subject NP – also modulate voice initiation time. That is, when the sentential context warrants a particular structure, that structure becomes easier to produce. Following the approach of MacDonald (2013), we explain these findings in terms of two production biases, one of which favors early placement of shorter, more accessible phrases and the other of which promotes rapid retrieval from memory of the most frequently used subtypes of a construction.

scholarly journals Computational models of retrieval processes in sentence processing

2019 ◽  
Author(s):  
Shravan Vasishth ◽  
Bruno Nicenboim ◽  
Felix Engelmann ◽  
Frank Burchert
Keyword(s):  
Sentence Processing ◽  
Sentence Comprehension ◽  
Computational Models ◽  
Predictive Performance ◽  
Data Set ◽  
Benchmark Data ◽  
Retrieval Processes ◽  
Empirical Coverage ◽  
Competing Models ◽  
Retrieval From Memory

Sentence comprehension requires that the comprehender work out who did what to whom. This process has been characterized as retrieval from memory. This review summarizes the quantitative predictions and empirical coverage of the two existing computational models of retrieval, and shows how the predictive performance of these two competing models can be tested against a benchmark data-set. We also show how computational modeling can help us better understand sources of variability in both unimpaired and impaired sentence comprehension.

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