scholarly journals The Effect of Visual Long-Term Memory on Eye Movements over Time

2019 ◽  
Vol 19 (10) ◽  
pp. 149a
Author(s):  
Lisa F Schwetlick ◽  
Hans A Trukenbrod ◽  
Ralf Engbert
Keyword(s):  
Eye Movements ◽  
Long Term Memory ◽  
Term Memory ◽  
Over Time

Influence of Movement Expertise on Visual Perception of Objects, Events and Motor Action

2012 ◽  
pp. 1-30 ◽  
Author(s):  
Kai Essig ◽  
Oleg Strogan ◽  
Helge Ritter ◽  
Thomas Schack
Keyword(s):  
Eye Movements ◽  
Visual Perception ◽  
Visual Attention ◽  
Saliency Map ◽  
Long Term Memory ◽  
Bottom Up ◽  
Term Memory ◽  
Perceptual Skills ◽  
Control Learning

Various computational models of visual attention rely on the extraction of salient points or proto-objects, i.e., discrete units of attention, computed from bottom-up image features. In recent years, different solutions integrating top-down mechanisms were implemented, as research has shown that although eye movements initially are solely influenced by bottom-up information, after some time goal driven (high-level) processes dominate the guidance of visual attention towards regions of interest (Hwang, Higgins & Pomplun, 2009). However, even these improved modeling approaches are unlikely to generalize to a broader range of application contexts, because basic principles of visual attention, such as cognitive control, learning and expertise, have thus far not sufficiently been taken into account (Tatler, Hayhoe, Land & Ballard, 2011). In some recent work, the authors showed the functional role and representational nature of long-term memory structures for human perceptual skills and motor control. Based on these findings, the chapter extends a widely applied saliency-based model of visual attention (Walther & Koch, 2006) in two ways: first, it computes the saliency map using the cognitive visual attention approach (CVA) that shows a correspondence between regions of high saliency values and regions of visual interest indicated by participants’ eye movements (Oyekoya & Stentiford, 2004). Second, it adds an expertise-based component (Schack, 2012) to represent the influence of the quality of mental representation structures in long-term memory (LTM) and the roles of learning on the visual perception of objects, events, and motor actions.

scholarly journals Individual Differences in Learning Efficiency

2019 ◽  
Vol 28 (6) ◽  
pp. 607-613
Author(s):  
Kathleen B. McDermott ◽  
Christopher L. Zerr
Keyword(s):  
Individual Differences ◽  
Experimental Approach ◽  
Long Term Memory ◽  
Positive Relation ◽  
Future Directions ◽  
Term Memory ◽  
Learning Efficiency ◽  
Rate Of Learning ◽  
Over Time

Most research on long-term memory uses an experimental approach whereby participants are assigned to different conditions, and condition means are the measures of interest. This approach has demonstrated repeatedly that conditions that slow the rate of learning tend to improve later retention. A neglected question is whether aggregate findings at the level of the group (i.e., slower learning tends to improve retention) translate to the level of individual people. We identify a discrepancy whereby—across people—slower learning tends to coincide with poorer memory. The positive relation between learning rate (speed of learning) and retention (amount remembered after a delay) across people is referred to as learning efficiency. A more efficient learner can acquire information faster and remember more of it over time. We discuss potential characteristics of efficient learners and consider future directions for research.

scholarly journals Features of subsyndromal and persistent delirium

2012 ◽  
Vol 200 (1) ◽  
pp. 37-44 ◽  
Author(s):  
David Meagher ◽  
Dimitrios Adamis ◽  
Paula Trzepacz ◽  
Maeve Leonard
Keyword(s):  
Rating Scale ◽  
Cognitive Test ◽  
Long Term Memory ◽  
Thought Process ◽  
Diagnostic Features ◽  
Term Memory ◽  
Subsyndromal Delirium ◽  
Short And Long Term ◽  
Over Time

BackgroundLongitudinal studies of delirium phenomenology are lacking.AimsWe studied features that characterise subsyndromal delirium and persistent delirium over time.MethodTwice-weekly evaluations of 100 adults with DSM-IV delirium using the Delirium Rating Scale – Revised-98 (DRS-R98) and Cognitive Test for Delirium (CTD). The generalised estimating equation method identified symptom patterns distinguishing full syndromal from subsyndromal delirium and resolving from persistent delirium.ResultsParticipants (mean age 70.2 years (s.d. = 10.5)) underwent 323 assessments (range 2–9). Full syndromal delirium was significantly more severe than subsyndromal delirium for DRS-R98 thought process abnormalities, delusions, hallucinations, agitation, retardation, orientation, attention, and short- and long-term memory items, and CTD attention, vigilance, orientation and memory. Persistent full syndromal delirium had greater disturbance of DRS-R98 thought process abnormalities, delusions, agitation, orientation, attention, and short- and long-term memory items, and CTD attention, vigilance and orientation.ConclusionsFull syndromal delirium differs from subsyndromal delirium over time by greater severity of many cognitive and non-cognitive symptoms. Persistent delirium involves increasing prominence of recognised core diagnostic features and cognitive impairment.

How the Efficiency of Mutual Funds in India Have Evolved over Time: A Study on Selected Mutual Funds in India

2020 ◽  
Vol 14 (1) ◽  
pp. 3-26
Author(s):  
Radhika Prosad Datta ◽  
Jayanta Kumar Seal ◽  
Jayanta Kumar Seal
Keyword(s):  
Market Efficiency ◽  
Mutual Funds ◽  
Hurst Exponent ◽  
Long Term Memory ◽  
Term Memory ◽  
Significant Difference ◽  
Over Time

This paper studies the long term memory of the returns from selected mutual funds from the large, mid & small cap and hybrid categories in India, over 10 years starting from 2008-09. The Hurst exponent is used to study the persistence and anti-persistent or mean-reverting trends and hence the market efficiency of the returns of the funds across various categories and periods are analyzed. The findings indicate, that there seems to be no significant difference in the market efficiency of various mutual funds across the categories studied over our period of interest. Although for certain periods all the categories do show persistent or anti-persistent behavior, there does not seem to be any particular pattern in such behaviour.

scholarly journals Rapid coordination of effective learning by the human hippocampus

2020 ◽  
Author(s):  
James E. Kragel ◽  
Stephan Schuele ◽  
Stephen VanHaerents ◽  
Joshua M. Rosenow ◽  
Joel L. Voss
Keyword(s):  
Eye Movements ◽  
Short Term Memory ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Depth Electrodes ◽  
Human Hippocampus ◽  
Hippocampal Theta ◽  
And Behavior

Although the human hippocampus is necessary for long-term memory, controversial findings suggest that hippocampal computations support short-term memory in the service of guiding effective behaviors during learning. We tested the counterintuitive theory that the hippocampus contributes to long-term memory through remarkably short-term processing, as reflected in the sequence of eye movements during encoding of naturalistic scenes. While viewing scenes for the first time, participants generated patterns of eye movements that reflected a shift from stimulus-driven to memory-driven viewing and signaled effective spatiotemporal memory formation. Hippocampal theta oscillations recorded from depth electrodes predicted this viewing pattern. Moreover, effective viewing patterns were preceded by shifts towards top-down influence of hippocampal theta on activity within cortical networks that support visual perception and visuospatial attention. The hippocampus thus supports short-term memory processing that coordinates perception, attention, and behavior in the service of effective spatiotemporal learning. These findings motivate re-interpretation of long-term memory disorders as reflecting loss of the organizing influence of hippocampal short-term memory on learning.

scholarly journals Tracing the path of forgetting in rule abstraction and exemplar retrieval

2018 ◽  
Vol 71 (11) ◽  
pp. 2261-2281 ◽  
Author(s):  
Janina A Hoffmann ◽  
Bettina von Helversen ◽  
Regina A Weilbächer ◽  
Jörg Rieskamp
Keyword(s):  
Retention Interval ◽  
Decision Makers ◽  
Long Term Memory ◽  
Rule Based ◽  
Term Memory ◽  
Initial Learning ◽  
Rule Abstraction ◽  
The Individual ◽  
Over Time

People often forget acquired knowledge over time such as names of former classmates. Which knowledge people can access, however, may modify the judgement process and affect judgement accuracy. Specifically, we hypothesised that judgements based on retrieving past exemplars from long-term memory may be more vulnerable to forgetting than remembering rules that relate the cues to the criterion. Experiment 1 systematically tracked the individual course of forgetting from initial learning to later tests (immediate, 1 day, and 1 week) in a linear judgement task facilitating rule-based strategies and a multiplicative judgement task facilitating exemplar-based strategies. Practising the acquired judgement strategy in repeated tests helped participants to consistently apply the learnt judgement strategy and retain a high judgement accuracy even after a week. Yet, whereas a long retention interval did not affect judgements in the linear task, a long retention interval impaired judgements in the multiplicative task. If practice was restricted as in Experiment 2, judgement accuracy suffered in both tasks. In addition, after a week without practice, participants tried to reconstruct their judgements by applying rules in the multiplicative task. These results emphasise that the extent to which decision makers can still retrieve previously learned knowledge limits their ability to make accurate judgements and that the preferred strategies change over time if the opportunity for practice is limited.

Anticipatory eye movements and long-term memory in early infancy

2016 ◽  
Vol 58 (7) ◽  
pp. 841-851 ◽  
Author(s):  
Audrey M.B. Wong-Kee-You ◽  
Scott A. Adler
Keyword(s):  
Eye Movements ◽  
Early Infancy ◽  
Long Term Memory ◽  
Term Memory ◽  
Anticipatory Eye Movements
Sign in / Sign up

Export Citation Format

Share Document