Emotion and memory

2021 ◽  
pp. 70-95
Author(s):  
Patrick Lemaire
Keyword(s):  
Emotion And Memory

scholarly journals Systema Temporis: A Time-Based Dimensional Framework for Consciousness and Cognition

2019 ◽  
Author(s):  
Lachlan Kent ◽  
George Van Doorn ◽  
Britt Klein
Keyword(s):  
Time Perception ◽  
Dimensional Structure ◽  
Two Dimensional ◽  
Dimensional Approach ◽  
Short Term ◽  
Hierarchical Framework ◽  
Time Consciousness ◽  
Emotion And Memory ◽  
Definition Of

This study uses a combined categorical-dimensional approach to depict a hierarchical framework for consciousness similar to, and contiguous with, factorial models of cognition (cf., intelligence). On the basis of the longstanding definition of time consciousness, the analysis employs a dimension of temporal extension, in the same manner that psychology has temporally organised memory (i.e., short-term, long-term, and long-lasting memories). By defining temporal extension in terms of the structure of time perception at short timescales (< 100 s), memory and time consciousness are proposed to fit along the same logarithmic dimension. This suggests that different forms of time consciousness (e.g., experience, wakefulness, and self-consciousness) are embedded within, or supported by, the ascending timescales of different modes of memory (i.e., short-term, long-term, etc.). A secondary dimension is also proposed to integrate higher-order forms of consciousness/emotion and memory/cognition. The resulting two-dimensional structure accords with existing theories of cognitive and emotional intelligence.

Dissociable contributions of amygdala and hippocampus to emotion and memory in patients with Alzheimer's disease

Hippocampus ◽  
2015 ◽  
Vol 26 (6) ◽  
pp. 727-738 ◽  
Author(s):  
Edmarie Guzmán-Vélez ◽  
David E. Warren ◽  
Justin S. Feinstein ◽  
Joel Bruss ◽  
Daniel Tranel
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Emotion And Memory

On Realizing Emotional Memories

2015 ◽  
pp. 116-151
Author(s):  
Saurabh K. Singh ◽  
Shashi Shekhar Jha ◽  
Shivashankar B. Nair
Keyword(s):  
Psychological Research ◽  
Emotional States ◽  
Emotional Memories ◽  
Memory Work ◽  
Emotion And Memory ◽  
Multi Agent ◽  
Real Robot ◽  
The One ◽  
The Right ◽  
Positive Memories

Emotion and memory have been two intermingled areas in psychological research. Although researchers are still fairly clueless on how human emotions or memory work, several attempts have been made to copy the dynamics of these two entities in the realm of robotics. This chapter describes one such attempt to capture the dynamics of human emotional memories and model the same for use in a real robot. Emotional memories are created at extreme emotional states, namely, very positive or happy events or very negative ones. The positive ones result in the formation of positive memories while the negative ones form the negative counterparts. The robotic system seeks the positive ones while it tries to avoid the negative ones. Such memories aid the system in making the right decisions, especially when situations similar to the one which caused their generation, repeat in the future. This chapter introduces the manner in which a multi-agent emotion engine churns out the emotions which in turn generate emotional memories. Results obtained from simulations and those from using a real situated robot described herein, validate the working of these memories.

Effects of Neural Mechanisms of Pretask Resting EEG Alpha Information on Situational Awareness: A Functional Connectivity Approach

2019 ◽  
Vol 62 (7) ◽  
pp. 1150-1170 ◽  
Author(s):  
Ardaman Kaur ◽  
Rishu Chaujar ◽  
Vijayakumar Chinnadurai
Keyword(s):  
Reaction Time ◽  
Functional Connectivity ◽  
Visual Processing ◽  
Emotional Regulation ◽  
Stroop Effect ◽  
Situational Awareness ◽  
Strong Association ◽  
Neural Mechanisms ◽  
Emotion And Memory ◽  
Neural Underpinnings

Objective In this study, the influence of pretask resting neural mechanisms on situational awareness (SA)-task is studied. Background Pretask electroencephalography (EEG) information and Stroop effect are known to influence task engagement independently. However, neural mechanisms of pretask resting absolute alpha (PRAA) and pretask resting alpha frontal asymmetry (PRAFA) in influencing SA-task which is undergoing Stroop effect is still not understood. Method The study involved pretask resting EEG measurements from 18 healthy individuals followed by functional magnetic resonance imaging (fMRI) acquisition during SA-task. To understand the effect of pretask alpha information and Stroop effect on SA, a robust correlation between mean reaction time, SA Index, PRAA, and PRAFA were assessed. Furthermore, neural underpinnings of PRAA, PRAFA in SA-task, and functional connectivity were analyzed through the EEG-informed fMRI approach. Results Significant robust correlation of reaction time was observed with SA Index (Pearson: r = .50, pcorr = .05) and PRAFA (Pearson: r = .63; pcorr = .01), respectively. Similarly, SA Index significantly correlated with PRAFA (Pearson: r = .56, pcorr = .01; Spearman: r = .61, pcorr = .007), and PRAA (Pearson: r = .59, pcorr = .005; Spearman: r = .59, pcorr = .002). Neural underpinnings of SA-task revealed regions involved in visual-processing and higher-order cognition. PRAA was primarily underpinned at frontal-temporal areas and functionally connected to SA-task regions pertaining to the emotional regulation. PRAFA has correlated with limbic and parietal regions, which are involved in integration of visual, emotion, and memory information of SA-task. Conclusion The results suggest a strong association of reaction time with SA-task and PRAFA and strongly support the hypothesis that PRAFA, PRAA, and associated neural mechanisms significantly influence the outcome of SA-task. Application It is beneficial to study the effect of pretask resting information on SA-task to improve SA.

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