A cognitive neuroscience perspective on insight as a memory process: encoding the solution

2022 ◽  
Author(s):  
Jasmin M. Kizilirmak ◽  
Maxi Becker

This is one of two chapters on "A cognitive neuroscience perspective on insight as a memory process" to be published in the "Routledge International Handbook of Creative Cognition" by L. J. Ball & F. Valleé-Tourangeau (Eds.). While the previous chapter discussed the role of long-term memory for solving problems by insight [https://psyarxiv.com/zv4dk], the current chapter focuses on the role of insight problem solving for long-term memory formation. Insight in problem solving has long been assumed to facilitate memory formation for the problem and its solution. Here, we discuss cognitive, affective, and neurocognitive candidate mechanisms that may underlie learning in insight problem solving. We conclude that insight appears to combine several beneficial effects that each on their own have been found to facilitate long-term memory formation: the generation effect, subjective importance of the discovery of the solution, intrinsic reward, schema congruence, and level-of-processing. A distributed set of brain regions is identified that is associated with these processes. On the one hand, the more affective response related to pleasure, surprise, and novelty detection is linked to amygdala, ventral striatum, and dopaminergic midbrain activity, supporting an important role of reward learning. On the other hand, insight as completing a schema is associated with prior knowledge dependent and medial prefrontal cortex mediated memory formation. Thus, learning by insight may reflect a fast route to cortical memory representations. However, many open questions remain, which we explicitly point out during this review.

2022 ◽  
Author(s):  
Maxi Becker ◽  
Roberto Cabeza ◽  
Jasmin M. Kizilirmak

What are the cognitive and brain processes that lead to an insight? This is one of two chapters on "A cognitive neuroscience perspective on insight as a memory process" to be published in the "Routledge International Handbook of Creative Cognition" by L. J. Ball & F. Valleé-Tourangeau (Eds.). In this chapter, we will describe the insight solution process from a neurocognitive perspective. Inspired by cognitive theories, we translate some of insight's main cognitive subprocesses (problem representation, search, representational change, solution) into related neurocognitive ones and summarize them in a descriptive framework. Those described processes focus primarily on verbal insight and are explained using the remote associates task. In this task, the solver is provided with several problem elements (e.g. drop, coat, summer) and needs to find the (remotely related) target that matches those cues (e.g., rain). In a nutshell, insight is the consequence of a problem-solving process where the target is encoded in long-term memory but cannot be retrieved at first because the relationship between the problem elements and the target is unknown, precluding a simple memory search. Upon problem display, the problem elements and a whole network of associated concepts are automatically activated in long-term memory in distinct areas of the brain representing those concepts (=problem representation). Insight is assumed to occur when automatic processes suddenly activate the target after control processes associated with inferior frontal gyrus and anterior cingulate cortex activation manage to overcome prior knowledge and/or perceptual constraints by revising the current activation pattern (=representational change). The next chapter (https://psyarxiv.com/bevjm) will focus on the role of insight problem solving for long-term memory formation.


2020 ◽  
Vol 24 (8) ◽  
pp. 885-896
Author(s):  
L. N. Grinkevich

The mechanisms of long-term memory formation and ways to improve it (in the case of its impairment) remain an extremely difficult problem yet to be solved. Over the recent years, much attention has been paid to microRNAs in this regard. MicroRNAs are unique endogenous non-coding RNAs about 22 nucleotides in length; each can regulate translation of hundreds of messenger RNA targets, thereby controlling entire gene networks. MicroRNAs are widely represented in the central nervous system. A large number of studies are currently being conducted to investigate the role of microRNAs in the brain functioning. A number of microRNAs have been shown to be involved in the process of synaptic plasticity, as well as in the long-term memory formation. Disruption of microRNA biogenesis leads to significant cognitive dysfunctions. Moreover, impaired microRNA biogenesis is one of the causes of the pathogenesis of mental disorders, neurodegenerative illnesses and senile dementia, which are often accompanied by deterioration in the learning ability and by memory impairment. Optimistic predictions are made that microRNAs can be used as targets for therapeutic treatment and for diagnosing the above pathologies. The importance of applications related to microRNAs significantly raises interest in studying their functions in the brain. Thus, this review is focused on the role of microRNAs in cognitive processes. It describes microRNA biogenesis and the role of miRNAs in the regulation of gene expression, as well as the latest achievements in studying the functional role of microRNAs in learning and in long-term memory formation, depending on the activation or inhibition of their expression. The review presents summarized data on the effect of impaired microRNA biogenesis on long-term memory formation, including those associated with sleep deprivation. In addition, analysis is provided of the current literature related to the prospects of improving cognitive processes by influencing microRNA biogenesis via the use of CRISPR/Cas9 technologies and active mental and physical exercises.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A47-A47
Author(s):  
N Sattari ◽  
L Whitehurst ◽  
K Vinces ◽  
S Mednick

Abstract Introduction It is widely accepted that “offline” processes during sleep contributes to memory. Working Memory (WM) capacity, which reflects “online” memory processing, is an important factor influencing cognitive functioning, which declines with age. In younger individuals, a positive association is reported between WM-capacity and declarative memory improvement. Methods We examined the relation between WM and long-term memory consolidation, among younger [N=105, 18-25yr] and older adults (N=119, 60-85yr). Subjects completed an OSPAN WM task, encoded a Word-Paired Association (WPA) task in the morning (Test1), and were tested on the WPA in the afternoon (Test2) after a 90-minute polysomnographically-recorded nap or wake. Half of the subjects were exposed to negatively valenced word-pairs (EWPA) while the other half were exposed to neutral word-pairs (NWPA). Subjects rated valence of the word-pairs at Test1 and Test2. We compared the four groups (young-EWPA, young-NWPA, old-EWPA and old-NWPA) on WM and WPA in both wake and sleep. Results In both wake and sleep, in the WPA, ageXword-condition interaction was found (p=.004). Post-hoc analysis revealed that in wake, younger-EWPA had higher performance (p=.03) than younger-NWPA, however, older-EWPA had lower performance (p=.03) than older-NWPA. Additionally, we found an ageXword-condition interaction whereby youngers showed no change in ratings, while older adults rated word-pairs more positively both in wake (p=.03) and sleep (p=.002) at Test 2. Youngers had higher WM performance (p=.007), also their WM performance was positively associated with WPA both for Neutral (p=.03) and Emotional (p=.01). WM and WPA among older adults was not related. In younger-EWPA, Stage2-sleep-minutes was positively associated to WPA improvement (p=.03) where this association was negative among older-EWPA (p=.02). In older-NWPA, Stage2-sleep-minutes was positively associated with WPA (p=.004). Conclusion Our findings indicate an association between WM and emotionally-salient memory formation that is modulated by age. Older adults, but not younger, showed the emotional bias previously reported. WM was higher in younger adults related to memory improvement. Stage2-sleep was related to memory improvement in both groups, but in opposite directions. In sum, the role of sleep in memory consolidation changes with aging and WM may play a role in this process. Support Fenn et al.,2012


2018 ◽  
Author(s):  
Anne Bergt ◽  
Anne E. Urai ◽  
Tobias H. Donner ◽  
Lars Schwabe

At any time, we are processing thousands of stimuli, but only few of them will be remembered hours or days later. Is there any way to predict which ones? Here, we show that the pupil response to ongoing stimuli, an indicator of physiological arousal, is a reliable predictor of long-term memory for these stimuli, over at least one day. Pupil dilation was tracked while participants performed visual and auditory encoding tasks. Memory was tested immediately after encoding and 24 hours later. Irrespective of the encoding modality, trial-by-trial variations in pupil dilation predicted which stimuli were recalled in the immediate and 24 hours-delayed tests. These results show that our eyes may provide a window into the formation of long-term memories. Furthermore, our findings underline the important role of central arousal systems in the rapid formation of memories in the brain, possibly by gating synaptic plasticity mechanisms.


2010 ◽  
Vol 4 (1) ◽  
pp. 23-27 ◽  
Author(s):  
Monica R.M. Vianna ◽  
Adriana Coitinho ◽  
Luciana Izquierdo ◽  
Ivan Izquierdo

Abstract Protein phosphorylation mediated by serine-threonine kinases in the hippocampus is crucial to the synaptic modifications believed to underlie memory formation. The role of phosphatases has been the focus of comparatively little study. Objectives: Here we evaluate the contribution of the serine-threonine protein phosphatases 1 and 2A (PP1, PP2A) on memory consolidation. Methods: We used immediate post-training bilateral hippocampal infusions of okadaic acid (OA, 0.01 and 10 pmol/side), a potent inhibitor of PP1 and PP2A, and measured short- [3 h] and long-term memory [24 h] (STM, LTM) of step-down inhibitory avoidance. Results: At the lower dose, OA inhibited both STM and LTM whereas at the higher dose it instead enhanced LTM. Pre-test infusion of these two doses of OA had no effect on retrieval. Conclusions: These two doses of OA are known to selectively inhibit PP1 and PP2A respectively. These findings point to the importance of these enzymes in memory formation and also suggest a deleterious influence of endogenous hippocampal PP2A on LTM formation.


Author(s):  
Tatyana Bogodvid ◽  
Vyacheslav Andrianov ◽  
Aliya Vinarskaya ◽  
Irina Deryabina ◽  
Lyudmila Muranova ◽  
...  

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