Item Recognition Research Articles

METAPHORICAL INSIGHTS: PHRASAL VERB KNOWLEDGE GAINS IN THE LIGHT OF CONCEPTUAL METAPHOR THEORY

The primary objective of this research is twofold: first, to elucidate the explicit teaching of phrasal verb constructions within the framework of conceptual metaphor theory, with a specific focus on the metaphorical aspects of particle usage, and second, to examine the correlation between such explicit instruction in phrasal verbs and the gains in implicit knowledge of these verb forms. This study employed a within-group pretest/posttest design as part of an experimental investigation involving 60 Turkish English as a Foreign Language (EFL) learners who were students at the School of Foreign Languages (SFL) at a state university in Turkey. The research was analyzed across three dimensions: the achievement and retention of both receptive and productive knowledge of phrasal verbs, subconscious recognition and processing of lexical items, and the processing of phrasal verb meanings in a semantic context. To assess the first dimension, a multiple-choice test to gauge the students' receptive understanding of phrasal verbs and a c-test to measure their controlled productive knowledge of these verb forms were administered at three points: the initial pretest, an immediate posttest, and a delayed posttest. A masked repetition priming lexical decision task was utilized to investigate the subconscious recognition and processing of lexical items. Additionally, a self-paced task was employed to scrutinize the participants' semantic processing of phrasal verb meanings. The study's findings revealed that the explicit presentation of phrasal verb knowledge within the conceptual metaphor framework significantly impacts not only the acquisition and retention of receptive and productive knowledge but also the subconscious recognition and processing of lexical items, as well as the semantic priming of phrasal verb meanings, which substantiates the influential role of conceptual metaphors in the lexical aspects of language learning.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0010/a.php" alt="Hit counter" /></p>

Differences in Brain Functional Network Topology in High and Low Working Memory Performance

Nowadays the network approach in neuroscience provides a promising way of analyzing neurophysiological mechanisms that underlie psychological functions and is widely used to study working memory. To date, data obtained in neuroimaging studies links working memory with topological features of brain networks, such as increased connectivity between frontal, parietal, and temporal regions, as well as increased integration in brain networks as a whole. The present study examines the relationship between the topological characteristics of functional brain networks with the performance in the Sternberg item recognition paradigm based on electroencephalographic data. It is shown that the higher performance in Sternberg paradigm, implying a higher efficiency of the processes of encoding, storage, and retrieval of information from working memory, is associated with an increase in the integration of functional networks, expressed in differences in the clustering coefficient, participation coefficient, Wiener index and eigenvector centrality between the groups of high and low working memory task performance (p < .01). In addition, our data suggest the variability in the topological pattern of connectivity, which can be traced through changes in the magnitude of the standard deviation of the values of topological metrics during the task.

E-WASTE MANAGEMENT USING MACHINE LEARNING

-This study introduces an intelligent e- waste management system, leveraging Convolutional Neural Networks (CNNs) integrated into a user-friendly web application. The system employs CNNs for precise image recognition and classification of e-waste items, including organic, metal, glass, clothes, paper, and electronic materials. Users can effortlessly submit e-waste information through the web interface, receiving tailored recommendations for eco-friendly disposal methods. This technology-driven approach aims to revolutionize e-waste management, providing an efficient and sustainable solution for the burgeoning e-waste crisis. Key Words: E-Waste, CNN (Convolutional Neural Network), Image Recognition, Sustainable Disposal and waste management

The retrogenesis of age-related decline in declarative and procedural memory.

The retrogenesis hypothesis proposes that the order of breakdown of cognitive abilities in older adults is the reverse of the developmental order of children. Declarative and procedural memory systems, however, have been empirically understudied regarding this issue. The current study aimed to investigate whether retrogenesis occurs in the developmental and decline order of the declarative and procedural memory systems. Besides, we further investigated whether retrogenesis occurs in declarative memory, which was tested through the recognition of familiar and unfamiliar items. Both questions were investigated by looking at 28 Chinese younger adults and 27 cognitively healthy Chinese older adults. The recognition memory task and the Serial Reaction Time Task were administered on two consecutive days in order to measure their declarative and procedural memory, respectively. The results showed older adults performed significantly worse than younger adults for both tasks on both days, suggesting a decline in both declarative and procedural memory. Moreover, older adults exhibited relatively preserved declarative memory compared to procedural memory. This does not follow the expectations of the retrogenesis hypothesis. However, older adults demonstrated superior performance and a steeper rate of forgetting for recognizing familiar items than unfamiliar items. This reverses the developmental order of different patterns in the declarative memory system. Overall, we conclude that retrogenesis occurs in the declarative memory system, while does not in the decline order of the two memory systems; this understanding can better help inform our broader understanding of memory aging.

Scene Detection Classification and Tracking for Self-Driven Vehicle

A number of traffic-related issues, including crashes, jams, and pollution, could be resolved by self-driving vehicles (SDVs). Several challenges still need to be overcome, particularly in the areas of precise environmental perception, observed detection, and its classification, to allow the safe navigation of autonomous vehicles (AVs) in crowded urban situations. This article offers a comprehensive examination of the application of deep learning techniques in self-driving cars for scene perception and observed detection. The theoretical foundations of self-driving cars are examined in depth in this research using a deep learning methodology. It explores the current applications of deep learning in this area and provides critical evaluations of their efficacy. This essay begins with an introduction to the ideas of computer vision, deep learning, and self-driving automobiles. It also gives a brief review of artificial general intelligence, highlighting its applicability to the subject at hand. The paper then concentrates on categorising current, robust deep learning libraries and considers their critical contribution to the development of deep learning techniques. The dataset used as label for scene detection for self-driven vehicle. The discussion of several strategies that explicitly handle picture perception issues faced in real-time driving scenarios takes up a sizeable amount of the work. These methods include methods for item detection, recognition, and scene comprehension. In this study, self-driving automobile implementations and tests are critically assessed.

Chinese character unitization enhances item memory in addition to associative memory: Evidence from ERP and TFR

While the effect of unitization on associative memory has been established, its effect on item memory remains debated. This study aimed to investigate the influence of unitization on item memory using Chinese characters to manipulate unitization and recording scalp EEG to elucidate the underlying neural mechanisms. In the learning phase, participants were asked to determine whether the character pairs presented could form a Chinese compound character. In the subsequent testing phase, participants performed item recognition and associative recognition tasks. Behavioral results revealed that unitization not only improved associative memory but also facilitated item memory. Event-related potential analysis indicated there were FN400 effect (related to familiarity) and LPC effect (related to recollection) during associative recognition after unitization, however, only the LPC effect was observed for the item recognition. More importantly, time-frequency analysis demonstrated stronger θ oscillations (associated with recollection) in the unitized condition compared to the non-unitized condition, which further partially mediated the reduction in RT during the item recognition. These results suggest that unitization enhances item memory through recollection, thereby leading to more confident recognition judgments, and that unitization does not impair item processing within an association but rather enables more precise and accurate processing.

Reward association impairs recognition of incidentally encoded negative information: Electrophysiological evidence

Previous studies investigating the effect of reward on emotional episodic memory have produced inconsistent results. In this study, through two experiments using event-related potentials (ERPs), we investigated the effect of reward association on the encoding and retrieval of incidentally encoded emotional information, and examined whether this effect changes over time. Participants in the two experiments were asked to discriminate the emotional valence of color images under reward or no-reward condition and incidentally encode them. Immediate (in Experiment 1) or 24-hour delayed (in Experiment 2) recognition after encoding was tested. In Experiments 1 and 2, reward (relative to no-reward) significantly improved the recognition of positive and neutral items, but significantly reduced the recognition of negative items. During encoding, the significant ERP reward effects (significantly more positive ERP amplitude for rewarded items than for non-rewarded ones) for positive and neutral images were widely distributed from 200 to 1500 ms after image onset, while those for negative stimuli occurred mainly from 200 to 500 ms. During retrieval, the significant ERP reward effects for positive and neutral items occurred in the two experiments, but the reversed ERP reward effects for negative items were found only in Experiment 1. The results of the present study suggest that reward association affects the encoding and retrieval of emotional images by enhancing memory processing efficiency of positive and neutral items, while impairing recognition of negative items, thus yielding a robust and sustained modulation over frontal/frontocentral or centroparietal/parietal areas where mechanisms of reward and emotion processing operate in conjunction.

Features of event-related potentials during retrieval of episodic memory in patients with mild cognitive impairment due to Alzheimer's disease.

To provide a rigorous comparison between patients with mild cognitive impairment due to Alzheimer's disease (MCI-AD) and healthy elderly, as well as to assess the value of electroencephalography (EEG) in terms of early diagnosis, we conducted a neutral image recognition memory task involving individuals with positive biomarkers including β amyloid deposition, pathologic tau or neurodegeneration. The task involving study and test blocks was designed to evaluate participants' recognition memory. Electroencephalogram was recorded synchronously to elicit event-related potentials in patients with MCI-AD and healthy control subjects. We further analyzed differences between groups or conditions in terms of behavioral performance, time domain, and time-frequency domain. The MCI-AD cohort showed a slower response time to old/new images and had low accuracy regarding behavioral performance. The amplitude of the late positive complex for the old/new effects was significantly suppressed in the MCI-AD cohort when compared with that in the HC cohort. The amplitude of the late old/new effects was correlated with the Auditory Verbal Learning Test recognition score in all participants. The time-frequency domain analysis revealed that correct recognition of old items elicited a decrease in beta power, mainly limited to the HC cohort. Moreover, the combination of behavioral (processing speed and accuracy) and electrophysiological (average amplitude and relative power of delta band) measures contributes to classifying patients with MCI-AD from healthy elderly people. Changes of old/new effects, accuracy and response time are sensitive to the impairment of recognition memory in patients with MCI-AD and have moderate value in predicting the incipient stage of AD.

Executive Function Predicts Older Adults' Lure Discrimination Difficulties on the Mnemonic Similarity Task.

Older adults often have difficulty remembering the details of recently encountered objects. We previously found this with the Mnemonic Similarity Task (MST). Surprisingly, the older adults' MST Lure Discrimination Index (LDI) was significantly correlated with visual acuity but not with memory or executive function. Here we ran a replication with new, larger samples of young (N = 45) and older adults (N = 70). We then combined the original and replication older adult samples (N = 108) to critically examine the relative contributions of visual acuity, memory, and executive function composite scores to LDI performance using dominance analysis. This provided, to our knowledge, the first direct statistical comparison of all 3 of these factors and their interactions on LDI. Participants completed the MST and a battery assessing visual acuity, memory, and executive function. We examined age group differences on MST performance in the new (i.e., replication) young and older adult samples and performed multiple regression and dominance analysis on the combined older adult sample. Consistent with previous findings, the older adults showed significantly poorer LDI but preserved item recognition. LDI was significantly correlated with both memory and executive function but not with visual acuity. In the combined older adult sample, all 3 composites predicted LDI, but dominance analysis indicated that executive function was the most important predictor. Older adults' MST LDI difficulty may be predicted by their executive function and visual acuity. These factors should be considered when interpreting older adults' MST performance.

Episodic memory through a social and emotional lens.

Negative emotion enhances item memory but may reduce associative memory. Social information may also enhance memory, yet how social and emotional cues combine to affect memory for focal and surrounding details is unknown. Gender differences may also exist, but whether women and men encode and remember negative and social information differently is unclear. This study examines how social information contributes to or interacts with emotion to influence item and associative memory, and whether gender plays a role in how social and/or emotional information is recognized. Discovery and replication samples (N = 706) were recruited. Stimuli included (1) images with varying social and emotional content categorized into four conditions: negative social, negative nonsocial, neutral social, neutral nonsocial and (2) neutral images of objects paired with target stimuli to assess associative memory. Participants viewed the image pairings (Encoding). Twenty-four hours later, item and associative recognition memory were tested. Item recognition memory was better for negative vs. neutral and social vs. nonsocial images. By contrast, associative recognition memory was worse for negative vs. neutral, but better for social vs. nonsocial images. Finally, women demonstrated similar item memory performance compared to men but better associative recognition memory performance overall compared to men. Emotional and social cues impart distinct effects on how we form holistic episodic memories, highlighting the importance of considering these critical factors when striving to understand how and what we remember. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Anatomical and functional predictors of disorientation after first-ever brain damage

Background and objectivesDisorientation is a frequent consequence of acute brain injury or diffuse disorders, such as confusional states or dementia. Its anatomical correlates are debated. Impaired memory as its commonly assumed mechanism predicts that disorientation is associated with medial temporal damage. The alternative is that disorientation reflects defective orbitofrontal reality filtering (ORFi) – a specific failure to identify whether thoughts or memories refer to present reality or not. The latter is a function of the posterior orbitofrontal cortex and connected structures. This study examined the mechanisms and anatomical basis of disorientation in an unselected group of patients with first-ever subacute brain injury. MethodsParticipants hospitalized for neurorehabilitation were asked to participate in this observational cohort study if they had first-ever organic hemispheric brain dysfunction as evident in a localizable brain lesion or verbal amnesia (often without localizable brain damage). Orientation to time, place, situation and person was tested with a 20-items questionnaire. To identify the mechanisms of disorientation, we determined its correlations with executive tasks, verbal episodic memory, and ORFi in all patients. ORFi was examined with a continuous recognition task, which measures learning and item recognition in the first run, and ORFi as reflected in the increase of false positive responses in the second run (temporal context confusion). Lesions of patients having localizable brain damage were manually delineated and normalized before entering multivariate lesion-symptom-mapping (LSM) to determine anatomical predictors of orientation. ResultsEighty-four patients (61.1 ± 14.4 years, 29 women) were included. Among measures of memory and executive functioning, a step-wise regression retained temporal context confusion (R = −0.71, p < 0.0001), item recognition (R = 0.67, p < 0.0001) and delayed free recall (R = 0.63, p < 0.0001) as significant predictors of orientation. LSM was possible in 67 participants; it revealed an association of disorientation with damage of the right OFC and the bilateral head of the caudate nucleus. ConclusionDisorientation in non-confused, non-demented patients with first-ever brain damage is associated with impaired orbitofrontal reality filtering and memory dysfunction, but not with executive dysfunction. Its main anatomical determinant is damage to the orbitofrontal cortex and its subcortical relay, the head of the caudate.

The temporal development of memory processes in source monitoring: An investigation with mouse tracking

The present study investigated whether we first remember an item (e.g., a word itself) and then its source (e.g., position on the screen) or whether the retrieval of item and source information can (partially) overlap. Participants were tested on the source either in immediate sequence to item recognition (as standard in source-monitoring research) or following as a separate block after full completion of the item recognition test to separate these processes in time, providing a baseline. Using the mouse-tracking procedure during the item and source tests, we analyzed how item and source decisions unfolded qualitatively over time. Despite no significant difference in the aggregated trajectory curvatures, more thorough analyses based on the individual trajectories revealed differences across the test formats. In the standard format, trajectories were less curved in the source than in the item test. In contrast, in the blocked format, this difference was in the other direction with source showing more curved trajectories than item. Alternative interpretations of mouse-trajectory curvatures on the source-monitoring paradigm and what their difference may imply for item and source processing are discussed.

SMART SECURITY SURVEILLANCE

The whole global health system is currently crippled by the COVID-19 pandemic outbreak. It is now crucial to halt the illness from spreading. Wearing a mask,washing our hands often, and avoiding social interaction have all become top considerations throughout the world. The World Health Organization (WHO) strongly advises against spreading the new coronavirus by using a mask that covers the mouth and nose. The primary objective of Smart Security Surveillance is to detect face masks, Motion detection, and Name Detection of a person. The performance of these systems is insufficient for many applications. Face mask identification is more challenging when dealing with a variety of restrictions, such as environmental changes, which is one of the primary causes. After Face detection, Face masks detection is a process thatis improved upon and made more reliable with the aid of OpenCV. OpenCV comes with a variety of helpful methods for item recognition and counting. Numerous industries, including transportation, health care, and environmental science, use object counting.

Realtime Object Detection and Disease Prediction of Visually Impaired People

In order to detect objects, this research combines real-time object identification with appropriate deep learning techniques. In our study, we describe the creation of a real-time system for item recognition, classification, and position estimation in the open environment. Blind and visually impaired people daily deal with a variety of difficulties. The proposed plan's goal. Computer vision is used to precisely identify indoor items. Those who are blind or visually challenged can use navigational aids, The Technology for navigation of the blind is not sufficiently accessible, without vision it can be challenging for visually impaired persons to navigate through rooms or different road paths .The main aim to develop the project is to help the visually impaired people and to detect the obstacles .The blind persons life become easier and without anyone helps they can walk alone through street they does not need anyone to assist them they can handle their self correctly. The preventing users from dangerous location our aim is to collected from environment (cameras, sensors, scanners, etc.) and transmitted to the users to the audio format. Data in the healthcare industry consists of all the information related to patients. Herea general architecture has been proposed for predicting the disease in the healthcare industry

Identifying stroke-related quantified evidence from electronic health records in real-world studies

BackgroundStroke is one of the leading causes of death and disability worldwide. The National Institutes of Health Stroke Scale (NIHSS) scores in electronic health records (EHRs), which quantitatively describe patients' neurological deficits in evidence-based treatment, are crucial in stroke-related clinical investigations. However, the free-text format and lack of standardization inhibit their effective use. Automatically extracting the scale scores from the clinical free text so that its potential value in real-world studies is realized has become an important goal. ObjectiveThis study aims to develop an automated method to extract scale scores from the free text of EHRs. MethodsWe propose a two-step pipeline method to identify NIHSS items and numerical scores and validate its feasibility using a freely accessible critical care database: MIMIC-III (Medical Information Mart for Intensive Care III). First, we utilize MIMIC-III to create an annotated corpus. Then, we investigate possible machine learning methods for two subtasks, NIHSS item and score recognition and item-score relation extraction. In the evaluation, we conduct both task-specific and end-to-end evaluations and compare our method with the rule-based method using precision, recall and F1 scores as evaluation metrics. ResultsWe use all available discharge summaries of stroke cases in MIMIC-III. The annotated NIHSS corpus contains 312 cases, 2929 scale items, 2774 scores and 2733 relations. The results show that the best F1-score of our method was 0.9006, which was attained by combining BERT-BiLSTM-CRF and Random Forest, and it outperformed the rule-based method (F1-score = 0.8098). In the end-to-end task, our method could successfully recognize the item “1b level of consciousness questions”, the score “1” and their relation “(‘1b level of consciousness questions’, ‘1’, ‘has value’)” from the sentence “1b level of consciousness questions: said name = 1”, while the rule-based method could not. ConclusionsThe two-step pipeline method we propose is an effective approach to identify NIHSS items, scores and their relations. With its help, clinical investigators can easily retrieve and access structured scale data, thereby supporting stroke-related real-world studies.

Individual and Age Differences in Item and Context Memory

ABSTRACT We investigated whether individuals who are good at recognizing previously presented items are also good at recognizing the context in which items were presented. We focused specifically on whether the relation between item recognition and context recognition abilities differs in younger and older adults. It has been hypothesized that context memory declines more rapidly in older adults due to an age-related deficit in associative binding or recollection. To test this hypothesis, younger and older adults were asked to remember lists of names and objects, as well as the context (i.e. their size, location, and color) that accompanied those items. Following presentation of each list, recognition tests for items and context were administered. Confirmatory factor analysis (CFA) models analyzing both item and context scores together provided no evidence of separate factors for item and context memory. Instead, the best-fitting model separated performance by item-type, regardless of context, and no differences were found in the structure of these abilities in younger and older adults. These findings are consistent with the limited previous latent variable research on context memory in aging suggesting that there is no context recognition memory ability separable from item memory in younger nor older adults. Instead, individual differences in recognition memory abilities may be specific to the domain of the studied stimulus.

Using preexperimental familiarity to compare the ICE and cue-overload accounts of context-dependent memory in item recognition.

In recognition, context effects often manifest as higher hit and false-alarm rates to probes tested in an old context compared with probes tested in a new context; sometimes, this concordant effect is accompanied by a discrimination advantage. According to the cue-overload account of context effects (Rutherford, 2004), context acts like any other cue, and thus context effects should be larger with lighter context loads. Conversely, the Item, Associated Context, and Ensemble (ICE) account (Murnane et al., 1999) attributes context effects to two factors: subjects erroneously attributing context familiarity to the probe, and the formation of ensembles (mnemonic combinations of item and context). Context familiarity increases as exposure at study increases, and thus ICE predicts larger effects of context as context load increases. Relatedly, ICE predicts larger effects of context as context meaningfulness increases, as meaningful contexts are more likely to be bound to the target in an ensemble. In Experiments 1 and 2, rather than manipulate context load during the study phase, we relied on subjects' preexperimental context exposure to manipulate context load. Subjects studied words superimposed on photographs of their university campus or another university campus. At test, targets and distractors were evenly divided between study and novel contexts and between familiar and unfamiliar contexts. In Experiment 3, we manipulated context familiarity within the experimental session. Results supported ICE, suggesting that context does not act as a retrieval cue in recognition. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Typicality in the brain during semantic and episodic memory decisions

Concept typicality is a key semantic dimension supporting the categorical organization of items based on their features, such that typical items share more features with other members of their category than atypical items, which are more distinctive. Typicality effects manifest in better accuracy and faster response times during categorization tasks, but higher performance for atypical items in episodic memory tasks, due to their distinctiveness. At a neural level, typicality has been linked to the anterior temporal lobe (ATL) and the inferior frontal gyrus (IFG) in semantic decision tasks, but patterns of brain activity during episodic memory tasks remain to be understood. We investigated the neural correlates of typicality in semantic and episodic memory to determine the brain regions associated with semantic typicality and uncover effects arising when items are reinstated during retrieval. In an fMRI study, 26 healthy young subjects first performed a category verification task on words representing typical and atypical concepts (encoding), and then completed a recognition memory task (retrieval). In line with previous literature, we observed higher accuracy and faster response times for typical items in the category verification task, while atypical items were better recognized in the episodic memory task. During category verification, univariate analyses revealed a greater involvement of the angular gyrus for typical items and the inferior frontal gyrus for atypical items. During the correct recognition of old items, regions belonging to the core recollection network were activated. We then compared the similarity of the representations from encoding to retrieval (ERS) using Representation Similarity Analyses. Results showed that typical items were reinstated more than atypical ones in several regions including the left precuneus and left anterior temporal lobe (ATL). This suggests that the correct retrieval of typical items requires finer-grained processing, evidenced by greater item-specific reinstatement, which is needed to resolve their confusability with other members of the category due to their higher feature similarity. Our findings confirm the centrality of the ATL in the processing of typicality while extending it to memory retrieval.

Crowd Social Distance Measurement and Mask Detection

With the new episode and quick transmission of the Coronavirus pandemic, the requirement for people in general to follow social separating standards and wear veils in broad daylight is just expanding. As per the World Wellbeing Association, to follow appropriate social separating, individuals openly puts should keep up with something like 3ft or 1m distance between one another. The shortfall of any clinical and key skill is a monster issue, and absence of resistance against it expands the gamble of being impacted by the infection. Since the shortfall of an immunization is an issue, social dividing and mask are essential preparatory strategies well-suited in this present circumstance. This study proposes computerization with a profound learning structure for observing social separating utilizing reconnaissance video film and facial covering recognition openly and swarmed places as an obligatory rule set for pandemic terms utilizing PC vision. The paper proposes a structure depends on Consequences be damned item recognition model to characterize the foundation and people with bouncing boxes and doled out IDs. In a similar system, a prepared module checks for any exposed person. The robotization will give valuable information and understanding for the pandemic's ongoing assessment; this information will assist with investigating the people who don't follow wellbeing convention standards.

Older adults can use memory for distinctive objects, but not distinctive scenes, to rescue associative memory deficits

ABSTRACT Associative memory deficits in aging are frequently characterized by false recognition of novel stimulus associations, particularly when stimuli are similar. Introducing distinctive stimuli, therefore, can help guide item differentiation in memory and can further our understanding of how age-related brain changes impact behavior. How older adults use different types of distinctive information to distinguish overlapping events in memory and to avoid false associative recognition is still unknown. To test this, we manipulated the distinctiveness of items from two stimulus categories, scenes and objects, across three conditions: (1) distinct scenes paired with similar objects, (2) similar scenes paired with distinct objects, and (3) similar scenes paired with similar objects. Young and older adults studied scene-object pairs and then made both remember/know judgments toward single items as well as associative memory judgments to old and novel scene-object pairs (“Were these paired together?”). Older adults showed intact single item recognition of scenes and objects, regardless of whether those objects and scenes were similar or distinct. In contrast, relative to younger adults, older adults showed elevated false recognition for scene-object pairs, even when the scenes were distinct. These age-related associative memory deficits, however, disappeared if the pair contained an object that was visually distinct. In line with neural evidence that hippocampal functioning and scene processing decline with age, these results suggest that older adults can rely on memory for distinct objects, but not for distinct scenes, to distinguish between memories with overlapping features.