scholarly journals Goffin's Cockatoos (Cacatua goffiniana) Can Solve a Novel Problem After Conflicting Past Experiences

2021 ◽  
Vol 12 ◽  
Author(s):  
Katarzyna Bobrowicz ◽  
Mark O'Hara ◽  
Chelsea Carminito ◽  
Alice M. I. Auersperg ◽  
Mathias Osvath
Keyword(s):  
Problem Solving ◽  
Behavioral Flexibility ◽  
Great Apes ◽  
Long Term Memory ◽  
Memory Functions ◽  
Term Memory ◽  
Innovative Tool ◽  
Technical Innovations ◽  
Past Experiences

Novel problems often partially overlap with familiar ones. Some features match the qualities of previous situations stored in long-term memory and therefore trigger their retrieval. Using relevant, while inhibiting irrelevant, memories to solve novel problems is a hallmark of behavioral flexibility in humans and has recently been demonstrated in great apes. This capacity has been proposed to promote technical innovativeness and thus warrants investigations of such a mechanism in other innovative species. Here, we show that proficient tool—users among Goffin's cockatoos—an innovative tool—using species—could use a relevant previous experience to solve a novel, partially overlapping problem, even despite a conflicting, potentially misleading, experience. This suggests that selecting relevant experiences over irrelevant experiences guides problem solving at least in some Goffin's cockatoos. Our result supports the hypothesis that flexible memory functions may promote technical innovations.

scholarly journals EXPRESS: Two Variations and One Similarity in Memory Functions Deployed by Mice and Humans to Support Foraging

2021 ◽  
pp. 174702182110105
Author(s):  
Spencer Talbot ◽  
Todor Gerdjikov ◽  
Carlo De Lillo
Keyword(s):  
Working Memory ◽  
Brain Function ◽  
Visual Cues ◽  
Brain Structures ◽  
Human Cognition ◽  
Foraging Efficiency ◽  
Long Term Memory ◽  
Memory Functions ◽  
Term Memory

Assessing variations in cognitive function between humans and animals is vital for understanding the idiosyncrasies of human cognition and for refining animal models of human brain function and disease. We determined memory functions deployed by mice and humans to support foraging with a search task acting as a test battery. Mice searched for food from the top of poles within an open-arena. Poles were divided into groups based on visual cues and baited according to different schedules. White and black poles were baited in alternate trials. Striped poles were never baited. The requirement of the task was to find all baits in each trial. Mice’s foraging efficiency, defined as the number of poles visited before all baits were retrieved, improved with practice. Mice learnt to avoid visiting un-baited poles across trials (Long-term memory) and revisits to poles within each trial (Working memory). Humans tested with a virtual-reality version of the task outperformed mice in foraging efficiency, working memory and exploitation of the temporal pattern of rewards across trials. Moreover, humans, but not mice, reduced the number of possible movement sequences used to search the set of poles. For these measures interspecies differences were maintained throughout three weeks of testing. By contrast, long-term-memory for never-rewarded poles was similar in mice and humans after the first week of testing. These results indicate that human cognitive functions relying upon archaic brain structures may be adequately modelled in mice. Conversely, modelling in mice fluid skills likely to have developed specifically in primates, requires caution.

scholarly journals The relationship between accuracy of numerical magnitude comparisons and children’s arithmetic ability: A study in Iranian primary school children

2016 ◽  
Vol 12 (4) ◽  
pp. 567-583
Author(s):  
Hamdollah Manzari Tavakoli
Keyword(s):  
Working Memory ◽  
Problem Solving ◽  
Processing Speed ◽  
Primary School Children ◽  
Numerical Magnitude ◽  
Long Term Memory ◽  
Arithmetic Problem ◽  
Term Memory ◽  
The Relationship

The relationship between children’s accuracy during numerical magnitude comparisons and arithmetic ability has been investigated by many researchers. Contradictory results have been reported from these studies due to the use of many different tasks and indices to determine the accuracy of numerical magnitude comparisons. In the light of this inconsistency among measurement techniques, the present study aimed to investigate this relationship among Iranian second grade children (n = 113) using a pre-established test (known as the Numeracy Screener) to measure numerical magnitude comparison accuracy. The results revealed that both the symbolic and non-symbolic items of the Numeracy Screener significantly correlated with arithmetic ability. However, after controlling for the effect of working memory, processing speed, and long-term memory, only performance on symbolic items accounted for the unique variances in children’s arithmetic ability. Furthermore, while working memory uniquely contributed to arithmetic ability in one-and two-digit arithmetic problem solving, processing speed uniquely explained only the variance in single-digit arithmetic skills and long-term memory did not contribute to any significant additional variance for one-digit or two-digit arithmetic problem solving.

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

2022 ◽  
Author(s):  
Jasmin M. Kizilirmak ◽  
Maxi Becker
Keyword(s):  
Problem Solving ◽  
Cognitive Neuroscience ◽  
Memory Formation ◽  
Long Term Memory ◽  
Memory Process ◽  
Insight Problem ◽  
Term Memory ◽  
Insight Problem Solving

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.

scholarly journals Long-Term Memory of Past Events in Great Apes

2019 ◽  
Vol 28 (2) ◽  
pp. 117-123 ◽  
Author(s):  
Amy Lewis ◽  
Dorthe Berntsen ◽  
Josep Call
Keyword(s):  
Great Apes ◽  
Human Memory ◽  
Long Term Memory ◽  
Term Memory ◽  
Nonhuman Animals ◽  
Cue Overload ◽  
Encoding Specificity ◽  
The Way

It has been claimed that the ability to recall personal past events is uniquely human. We review recent evidence that great apes can remember specific events for long periods of time, spanning months and even years, and that such memories can be enhanced by distinctiveness (irrespective of reinforcement) and follow a forgetting curve similar to that in humans. Moreover, recall is enhanced when apes are presented with features that are diagnostic of the event, consistent with notions of encoding specificity and cue overload in human memory. These findings are also consistent with the involuntary retrieval of past events in humans, a mode of remembering that is thought to be less cognitively demanding than voluntary retrieval. Taken together, these findings reveal further similarities between the way humans and animals remember past events and open new avenues of research on long-term memory in nonhuman animals.

P1-032: Effects of cannabinoids on the short and long-term memory functions in mice

2011 ◽  
Vol 7 ◽  
pp. S120-S121
Author(s):  
Avdesh Avdesh ◽  
Ralph Martins ◽  
Mathew Martin-Iverson ◽  
Yikae Hoe
Keyword(s):  
Long Term Memory ◽  
Memory Functions ◽  
Term Memory ◽  
Short And Long Term

scholarly journals Mengajarkan Pemecahan Masalah Matematika di Sekolah Dasar

2018 ◽  
Vol 6 (2) ◽  
pp. 215
Author(s):  
Suhartono Suhartono
Keyword(s):  
Elementary School ◽  
Problem Solving ◽  
Cognitive Skills ◽  
Mathematical Problem ◽  
Mathematical Problem Solving ◽  
Long Term Memory ◽  
Previous Knowledge ◽  
Term Memory ◽  
Two Factors

Abstrak Artikel ini membahas tentang mengajarkan pemecahan masalah matematika di sekolah dasar. Metode penelitian yang digunakan dalam penulisan artikel ini adalah analisa literatur. Beberapa literatur yang berhubungan dengan pemecahan masalah dan pemecahan masalah matematika dianalisa untuk mendapatkan informasi tentang cara mengajarkan pemecahan masalah matematika di sekolah dasar. Pemecahan masalah merupakan sebuah kompetensi yang harus dikuasai oleh peserta didik dalam pembelajaran matematika. Hal ini sebagaimana yang terdapat dalam kurikulum pendidikan Indonesia. Kemampuan pemecahan masalah matematika peserta didik pada tingkat pendidikan yang lebih tinggi, sangat tergantung kepada pengalaman belajar peserta didik ketika di jenjang sekolah dasar. Oleh karena itu, mengajarkan pemecahan masalah matematika sejak jenjang sekolah dasar merupakan sesuatu yang penting. Kemampuan pemecahan masalah (problem solving) setidaknya membutuhkan dua kemampuan, yaitu (1) kemampuan untuk mengidentifikasi masalah, dan (2) kemampuan untuk merencanakan strategi untuk memecahkan masalah. Kemampuan memecahkan masalah merupakan salah satu bentuk keterampilan kognitif. Dengan demikian, kemampuan pemecahan masalah ini akan tergantung setidaknya pada dua hal. Pertama, pengetahuan awal yang dimiliki oleh peserta didik (previous knowledge). Kedua, kemampuan peserta didik untuk memanggil pengetahuan yang tersimpan dalam memori jangka panjangnya (long-term memory). Mengajarkan pemecahan masalah matematika di jenjang sekolah dasar membutuhkan sejumlah kemampuan. Pertama, kemampuan mengajarkan cara untuk mengidentifikasi masalah matematika yang sesuai dengan tingkat perkembangan kognitif peserta didik. Kedua, kemampuan untuk mengajarkan strategi untuk memecahkan masalah matematika Kata kunci: Pemecahan Masalah, Pemecahan Masalah Matematika, Sekolah Dasar Abstract This article discusses about how to teach mathemathical problem solving on elementary school. The method that is used to write this article is literature analysis. Some literatures which are related to problem solving and mathematical problem solving are analysed in order to find information about how to teach mathematical problem solving on elementary school. Problem solving is a competency that is has to be mastered by students in mathemathics education. It is stated in Indonesian curriculum document. The ability of students to solve mathematical problem on higher education is rely on their ability to solve mathematical problem on elementary school. For this reason, it is important to teach mathematical problem solving since elementary school. Problem solving need minimally two abilities, that are (1) the ability to identify the problem, and (2) the ability to plan a strategy to solve the problem. Problem solving is one kind of cognitive skills. For this reason, this skill is depended on two factors. Firstly, previous knowledge that is own by the student. Secondly, the ability of student to retrieve the information from long-term memory.

scholarly journals The Method of Learning and Its Effect on Memory

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Pamella Sylvia Ann Kelasi
Keyword(s):  
Human Brain ◽  
Learning And Memory ◽  
Learning Process ◽  
Long Term Memory ◽  
Short Term ◽  
Learning Methods ◽  
Term Memory ◽  
Past Experiences

Aim: To find out the relation between the types of learning and memory. Objective: To conclude that the types of learning relates to short term and long term memory. Background and Reason: Memory is the ability to encode, store, retain and subsequently recall information and past experiences in the human brain. Individuals differ in their level of memory. Its really fascinating to know the uniqueness in their memory. So the reason behind this research is to find out the uniqueness and methods followed by the individuals in their learning process. This study can also help in giving ideas to improve the memory and thus learning methods among individuals.

scholarly journals A cognitive neuroscience perspective on insight as a memory process: Searching for the solution.

2022 ◽  
Author(s):  
Maxi Becker ◽  
Roberto Cabeza ◽  
Jasmin M. Kizilirmak
Keyword(s):  
Problem Solving ◽  
Cognitive Neuroscience ◽  
Inferior Frontal Gyrus ◽  
Anterior Cingulate ◽  
Problem Representation ◽  
Long Term Memory ◽  
Memory Process ◽  
Term Memory ◽  
Representational Change

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.

scholarly journals Implicitly learning when to be ready: from instances to categories

2021 ◽  
Author(s):  
wouter kruijne ◽  
Riccardo Mattia Galli ◽  
Sander Los
Keyword(s):  
Long Term Memory ◽  
Warning Stimulus ◽  
Transfer Phase ◽  
Term Memory ◽  
Temporal Preparation ◽  
The Past ◽  
Past Experiences ◽  
Rolling Regression

[Manuscript submitted for review]There is growing appreciation for the role of long-term memory in guiding temporal preparation. In experiments with variable foreperiods between a warning stimulus (S1) and a target stimulus (S2), preparation is affected by foreperiod distributions experienced in the past, long after the distribution has changed. Such memory-guided preparation shapes preparation largely implicitly and outside of a participants’ control. Recent studies have demonstrated the associative nature of such memory-guided preparation. When distinct S1s predict different foreperiods, they can trigger dissociative preparation accordingly. Here, we demonstrate that memory-guided preparation allows for another key feature of learning: the ability to generalize across acquired associations and apply them to novel situations. Participants completed a foreperiod task where S1 was a unique image of either a face or a scene on each trial. Images of either category were paired with different distributions with predominantly shorter versus predominantly longer foreperiods. Participants displayed dissociative preparation to never-before seen images of either category, without being aware of the predictive nature of these categories. They continued doing so in a subsequent transfer phase, after they had been informed that these contingencies no longer held. A novel rolling regression analysis revealed at a fine timescale how category-guided preparation gradually developed throughout the task, and illustrated how instructions at the start of the transfer phase interacted with these influences from long-term memory. These results offer new insights into temporal preparation as the product of a largely implicit process governed by associative learning from past experiences.

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