To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Experimental research about reliability, emotional expression, and possible fantasy and illusion in memories of NDEs is a new field of study. NDEs are stored as episodic memory and constitute an important part of the self-defining memory. NDE memories appear as real as memories of real events, and may contain even more detail and vividness than memories of real events. NED memories also seem to include illusions that may help a person to interpret their extraordinary experience. EEG data suggest that NDE memories reproduce illusions that were encoded as if they were real events. Studies on the encoding, storage, and retrieval of memories built in altered states of consciousness, such as states of dreaming or generation of hallucinations, can be used to model the encoding, storage, and retrieval of NDE memories.
The ability to efficiently complete everyday tasks was evaluated with a novel, performance-based test called the Virtual Kitchen Challenge (VKC) in college athletes. Analyses focused on the effect of practice and associations between the VKC and conventional measures of cognition.
Method:
81 college athletes with and without self-reported concussion completed conventional cognitive tests and the VKC, a nonimmersive virtual-reality task that requires manipulating virtual objects on a touch screen to prepare a breakfast and lunch under two conditions: 1) Training condition with feedback and 2) Test condition without feedback. VKC performance was scored for completion time, percent of time working on-screen, number of interactions with target and distractor objects. Paired t-tests compared VKC Training and Test conditions, correlations examined relations between VKC performance and cognitive tests.
Results:
VKC performance was significantly better after practice, as noted by faster completion time, fewer screen interactions, and a higher proportion of time spent on-screen during Test vs. Training conditions. Interactions with distractors were too infrequent for analyses. Correlations showed VKC Training was associated with episodic memory abilities whereas VKC Test scores were associated with executive function. VKC scores did not differ between participants with versus without concussion.
Conclusions:
The VKC is a promising portable performance-based measure of subtle functional difficulties for young, high-functioning participants. The VKC automated scoring makes it highly efficient for large studies and clinical settings.
Fully updated for the second edition, this text remains a comprehensive and current treatment of the cognitive neuroscience of memory. Featuring a new chapter on group differences in long-term memory, areas covered also include cognitive neuroscience methods, human brain mechanisms underlying long-term memory success, long-term memory failure, implicit memory, working memory, memory and disease, memory in animals, and recent developments in the field. Both spatial and temporal aspects of brain processing during different types of memory are emphasized. Each chapter includes numerous pedagogical tools, including learning objectives, background information, further reading, review questions, and figures. Slotnick also explores current debates in the field and critiques of popular views, portraying the scientific process as a constantly changing, iterative, and collaborative endeavor.
This chapter argues that beliefs are causally effective representational states. They admit of two main kinds: episodic and semantic forms of memory. These are argued to be distinct, although they have overlapping origins. The chapter also discusses the states often described as beliefs that result from one making up one’s mind (forming a judgment), but many of which are really commitments (a type of intention). The relations between episodic memory and imagination are also discussed. The chapter then examines the idea that moral judgments can be directly motivating, showing that it contains an element of truth. Finally, the chapter critiques a claim that has become popular among armchair-philosophers, that knowledge is a basic kind of intrinsically factive mental state.
An intuition about consciousness known as the ’Awareness Principle’ states: For any mental state M of a subject S, M is conscious only if S has an ’inner awareness’ of M. Some have recently defended this principle by revising the ’memory argument’ first offered by the sixth-century Buddhist philosopher Dignāga: from the fact that an experience can be episodically remembered, it should follow that a subject must have been aware of that experience. In response, I argue that defenders of the memory argument haven’t convincingly established the episodic memorability of experience, because they haven’t defused a countervailing claim that conscious perceptual experience is phenomenologically ’transparent’. This claim, if true, would suggest that what one can episodically remember is just how the (external or internal) world appeared through one’s ’outer awareness’, rather than how the past experience itself appeared through one’s inner awareness. I further argue that the memory argument can accommodate phenomenological transparency only at the expense of making the Awareness Principle trivial. The memory argument defender may then claim that there is some non-introspectible feature of a past experience that is episodically memorable, namely, that experience’s subjective character or phenomenal ’for-me-ness’. In response, I develop an objection from the tenth-century Śaiva philosopher Utpaladeva against the possibility of recalling a past experience’s subjective character as such. Overall, while the objections this article raises cannot falsify the Awareness Principle directly, they may motivate its proponents to recall their support for the memory argument.
This chapter focuses on long-term memory in animals, which relates to the research conducted with humans. Section 11.1 shows that rats, cats, and monkeys have the same medial temporal lobe organization as humans. The perirhinal cortex is associated with item memory, the parahippocampal cortex is associated with context memory, and the hippocampus is associated with binding item information and context information. In Section 11.2, long-term potentiation in the hippocampus is discussed. Section 11.3 reviews evidence for memory replay in rats, which refers to reactivation of the same brain regions in the same or the reverse temporal sequence that were activated during a previous event. In Section 11.4, time cells in the rat hippocampus are discussed. Section 11.5 considers the behavioral evidence and the brain evidence that indicates animals have episodic memory. This has proven to be a controversial topic because animals cannot tell us whether or not they “remember.”
This chapter considers the brain regions associated with long-term memory, a type of explicit memory. Long-term memory can be broken down into episodic memory and semantic memory. Episodic memory refers to the detailed retrieval of a previous episode. Semantic memory refers to the retrieval of factual information. The first two sections of the chapter consider the brain regions associated with episodic memory and semantic memory. Section 3.3 considers long-term memory consolidation (i.e., the process of creating more permanent memory representations in the brain). In Section 3.4, the role of sleep in long-term memory consolidation is examined. Long-term memory consolidation requires the interaction between multiple brain regions in which activity oscillates at specific frequencies. Section 3.5 reviews the brain regions associated with memory encoding. In Section 3.6, the brain regions associated with event boundaries (e.g., transitions between scenes in a movie) are discussed, and it is argued that the reported effects reflect the processing of novel information.
The neural correlates underlying late-life depressive symptoms and cognitive deterioration are largely unclear, and little is known about the role of chronic physical conditions in such association. This research explores both concurrent and longitudinal associations between late-life depressive symptoms and cognitive functions, with examining the neural substrate and chronic vascular diseases (CVDs) in these associations.
Methods
A total of 4109 participants (mean age = 65.4, 63.0% females) were evaluated for cognitive functions through various neuropsychological assessments. Depressive symptoms were assessed by the Geriatric Depression Scale and CVDs were self-reported. T1-weighted magnetic resonance imaging (MRI), diffusion tensor imaging, and functional MRI (fMRI) data were acquired in a subsample (n = 791).
Results
Cognitively, higher depressive symptoms were correlated with poor performance across all cognitive domains, with the strongest association with episodic memory (r = ‒0.138, p < 0.001). Regarding brain structure, depressive symptoms were negatively correlated with thalamic volume and white matter integrity. Further, white matter integrity was found to mediate the longitudinal association between depressive symptoms and episodic memory (indirect effect = −0.017, 95% CI −0.045 to −0.002) and this mediation was only significant for those with severe CVDs (β = −0.177, p = 0.008).
Conclusions
This study is one of the first to provide neural evidence elucidating the longitudinal associations between late-life depressive symptoms and cognitive dysfunction. Additionally, the severity of CVDs strengthened these associations, which enlightens the potential of managing CVDs as an intervention target for preventing depressive symptoms-related cognitive decline.
This study aimed to identify and compare the EEG activities associated with semantic and episodic memory retrieval during creative processes. Episodic and semantic memory induction studies were conducted and EEG was used to collect data. The results showed that (i) Episodic and semantic memory retrieval are related to the frontal lobe area; (ii) Semantic memory retrieval is evoked more swiftly compared with episodic memory retrieval (ii) Prior to episodic memory retrieval, semantic memory retrieval is evoked first.
Studies suggest that bilingualism may be associated with better cognition, but the role of active bilingualism, the daily use of two languages, on cognitive trajectories remains unclear. One hypothesis is that frequent language switching may protect cognitive trajectories against effects of brain atrophy. Here, we examined interaction effects between language and brain variables on cognition among Hispanic participants at baseline (N = 153) and longitudinally (N = 84). Linguistic measures included self-reported active Spanish–English bilingualism or Spanish monolingualism. Brain measures included, at baseline, regions of gray matter (GM) thickness strongly correlated with cross-sectional episodic memory and executive function and longitudinally, tissue atrophy rates correlated with episodic memory and executive function change. Active Spanish–English bilinguals showed reduced association strength between cognition and gray matter thickness cross-sectionally, β=0.303, p < .01 but not longitudinally, β=0.024, p = 0.105. Thus, active bilingualism may support episodic memory and executive function despite GM atrophy cross-sectionally, but not longitudinally.
We investigated how well a visual associative learning task discriminates Alzheimer’s disease (AD) dementia from other types of dementia and how it relates to AD pathology.
Methods:
3,599 patients (63.9 ± 8.9 years old, 41% female) from the Amsterdam Dementia Cohort completed two sets of the Visual Association Test (VAT) in a single test session and underwent magnetic resonance imaging. We performed receiver operating curve analysis to investigate the VAT’s discriminatory ability between AD dementia and other diagnoses and compared it to that of other episodic memory tests. We tested associations between VAT performance and medial temporal lobe atrophy (MTA), and amyloid status (n = 2,769, 77%).
Results:
Patients with AD dementia performed worse on the VAT than all other patients. The VAT discriminated well between AD and other types of dementia (area under the curve range 0.70–0.86), better than other episodic memory tests. Six-hundred forty patients (17.8%) learned all associations on VAT-A, but not on VAT-B, and they were more likely to have higher MTA scores (odds ratios range 1.63 (MTA 0.5) through 5.13 for MTA ≥ 3, all p < .001) and to be amyloid positive (odds ratio = 3.38, 95%CI = [2.71, 4.22], p < .001) than patients who learned all associations on both sets.
Conclusions:
Performance on the VAT, especially on a second set administered immediately after the first, discriminates AD from other types of dementia and is associated with MTA and amyloid positivity. The VAT might be a useful, simple tool to assess early episodic memory deficits in the presence of AD pathology.
In this chapter, we delve into the intriguing world of memory development, from infancy to adulthood. We begin by emphasizing the fundamental role memory plays in learning. We explore two distinct memory systems: one we are conscious of and another that operates behind the scenes. We examine various memory types, their testing methods, and the brain regions responsible for them. Our focus then shifts to episodic memory, questioning its exclusivity to humans. We dissect the brain structures involved in memory formation and their developmental changes. Additionally, we explore the interconnectedness of memory, thinking processes, and decision-making. Our goal in this chapter is to provide a comprehensive understanding of memory development across different life stages, laying the groundwork for a deeper grasp of this intricate cognitive process.
This Element surveys research on three central and interrelated issues about the nature of memory and remembering. The first is about the nature of memory as a cognitive faculty. This part discusses different strategies to distinguish memory from other cognitive faculties as well as different proposed taxonomies to differentiate distinct kinds of memory. The second issue concerns what memory does, which is traditionally thought to have a simple answer: remembering. As it turns out, philosophers not only disagree as to how to characterize remembering but also whether the function of memory is indeed to remember. Finally, the third issue is about the nature of what we remember-a question that may refer to the object of our memories but also to their content, with different views disagreeing on how to characterize the relationship between the two.
Computational models of episodic memory provide tools to better understand the latent neurocognitive processes underlying retention of information about specific events from one’s life. This chapter discusses the representations, associations, and dynamics of influential models of episodic memory, with particular emphasis on models of recognition and free recall tasks. In-depth discussion and model-fitting results of four models – the retrieving effectively from memory (REM) model, the bind cue decide model of episodic memory (BCDMEM), the search of associative memory (SAM) model, and the temporal context model (TCM) – are provided to facilitate understanding of these models, as well as similarities and differences between them. Alternative modeling frameworks, including neural network models, are discussed. Throughout, the importance of context in models of episodic memory is emphasized, particularly for free recall tasks.
The idea that memory behavior relies on a gradually changing internal state has a long history in mathematical psychology. This chapter traces this line of thought from statistical learning theory in the 1950s, through distributed memory models in the latter part of the twentieth century and early part of the twenty-first century through to modern models based on a scale-invariant temporal history. We discuss the neural phenomena consistent with this form of representation and sketch the kinds of cognitive models that can be constructed and connections with formal models of various memory tasks.
Cannabis use has been linked to poorer episodic memory. However, little is known about whether depression and sex may interact as potential moderators of this association, particularly among adolescents. The current study addresses this by examining interactions between depression symptoms and sex on the association between cannabis use and episodic memory in a large sample of adolescents.
Method:
Cross-sectional data from 360 adolescents (Mage = 17.38, SD = .75) were analyzed at the final assessment wave of a two-year longitudinal study. We used the Drug Use History Questionnaire to assess for lifetime cannabis use, and the Computerized Diagnostic Interview Schedule for Children, Fourth edition to assess the number of depression symptoms in the past year. Subtests from the Wechsler Memory Scale, Fourth Edition and the California Verbal Learning Test, Second Edition were used to assess episodic memory performance.
Results:
The effect of the three-way interaction among cannabis use, depression symptoms, and sex did not have a significant impact on episodic memory performance. However, follow-up analyses revealed a significant effect of the two-way interaction of cannabis use and depression symptoms on episodic memory, such that associations between cannabis use and episodic memory were only significant at lower and average levels of depression symptoms.
Conclusions:
Contrary to our hypotheses, we found that as depression symptoms increased, the negative association between cannabis use and episodic memory diminished. Given the use of a predominantly subsyndromic sample, future studies should attempt to replicate findings among individuals with more severe depression.
This chapter discusses the kind, episodic memory, which has recently garnered a great deal of attention from philosophers. In light of current empirical work, it has become increasingly challenging to accept an influential and intuitively plausible philosophical account of memory, namely the “causal theory of memory.” It is unlikely that each episodic memory can be associated with a trace or “engram” that can be shown to be linked by an uninterrupted causal chain to an episode in the thinker’s past. Some philosophers and psychologists have responded by effectively abandoning the category of episodic memory and assimilating memory to imagination or hypothetical thinking. But I argue that there is still room for a distinct cognitive kind, episodic memory, a cognitive capacity whose function it is to generate representational states that are connected to past episodes in the experience of the thinker, which bear traces of these episodes that are individuated not at the neural level but at the “computational level.”
Tendency to experience inaccurate beliefs alongside perceptual anomalies constitutes positive schizotypal traits in the general population and shows continuity with the positive symptoms of schizophrenia. It has been hypothesized that the positive symptomatology of schizophrenia, and by extension, positive schizotypy, are associated with specific alterations in memory functions. Imbalance between memory generalization and episodic memory specificity has been proposed on several counts; however, the direction of the imbalance is currently unclear.
Objectives
We aimed to contrast two competing hypotheses regarding the association between positive schizotypy, and memory alterations in a general population sample (N=71) enriched for positive schizotypy from a larger pool of individuals (N=614).
Methods
Positive schizotypy was measured with the short-version of the O-LIFE questionnaire, and memory specificity and generalization was captured by the well-established Mnemonic Similarity Task.
Results
Distortions in the behavioural memory performance indices were found to correlate with positive schizotypy: individuals prone to unusual experiences demonstrated increased discrimination and reduced generalization (explaining 10% and 17% of variance, respectively). Associations were robust when controlled for the disorganized, negative and impulsive-asocial dimensions of schizotypy and associated psychopathology.
Conclusions
Our findings show that people who are prone to irrational beliefs and unusual experiences also show measurable alterations in memory and likely have difficulty grasping the global picture and rather be overpowered by fragments of information.
Metacognition, or awareness of one’s cognition, involves several different but overlapping cognitive abilities, such as working memory, explicit memory, monitoring, and control. These processes are guided by multiple internal or external signals, including memory signals in the case of metamemory. Primate species including apes and rhesus monkeys have demonstrated that they can respond to both internal and external signals, and like humans, these signals can be additive and fallible. In the past few decades, there have been about five dozen studies published on nonhuman animal metacognition and while robust results have been obtained, rigorous experimental paradigms have been employed, and general progress has been made, there is a still a lot we do not know. For example, there are only a few species whose metacognitive abilities have been relatively well characterized, and even in those species significant open questions remain. After an introduction, what is known and what is not known will be explored. Similarities and differences among different primate species will be highlighted. As the chapter is comparative in nature, disparities in behavioral findings across apes and monkeys, New World and Old World monkeys, as well as primates and non-primate species will be explored. The extent to which methods can or cannot be standardized across species will be discussed, with special consideration of species’ ecological niches and experimental methods typically employed. Limitations in nonhuman metacognition research will also be considered, including the fact that most metacognition studies focus on just one species. Finally, possibilities for promising future directions in research will be offered.