Neuronal activity related to visual recognition memory: long-term memory and the encoding of recency and familiarity information in the primate anterior and medial inferior temporal and rhinal cortex

1993 ◽  
Vol 96 (3) ◽  
Author(s):  
F.L. Fahy ◽  
I.P. Riches ◽  
M.W. Brown
Keyword(s):  
Recognition Memory ◽  
Neuronal Activity ◽  
Visual Recognition ◽  
Long Term Memory ◽  
Term Memory ◽  
Visual Recognition Memory ◽  
Rhinal Cortex

scholarly journals A Multivariate Assessment of Age-Related Cognitive Impairment in Octodon degus

2021 ◽  
Vol 15 ◽  
Author(s):  
Daniela S. Rivera ◽  
Carolina B. Lindsay ◽  
Carolina A. Oliva ◽  
Francisco Bozinovic ◽  
Nibaldo C. Inestrosa
Keyword(s):  
Recognition Memory ◽  
Cognitive Performance ◽  
Natural Aging ◽  
Long Term Memory ◽  
Barnes Maze ◽  
Short Term ◽  
Term Memory ◽  
Age Related ◽  
Age Dependent

Aging is a progressive functional decline characterized by a gradual deterioration in physiological function and behavior. The most important age-related change in cognitive function is decline in cognitive performance (i.e., the processing or transformation of information to make decisions that includes speed of processing, working memory, and learning). The purpose of this study is to outline the changes in age-related cognitive performance (i.e., short-term recognition memory and long-term learning and memory) in long-lived Octodon degus. The strong similarity between degus and humans in social, metabolic, biochemical, and cognitive aspects makes it a unique animal model for exploring the mechanisms underlying the behavioral and cognitive deficits related to natural aging. In this study, we examined young adult female degus (12- and 24-months-old) and aged female degus (38-, 56-, and 75-months-old) that were exposed to a battery of cognitive-behavioral tests. Multivariate analyses of data from the Social Interaction test or Novel Object/Local Recognition (to measure short-term recognition memory), and the Barnes maze test (to measure long-term learning and memory) revealed a consistent pattern. Young animals formed a separate group of aged degus for both short- and long-term memories. The association between the first component of the principal component analysis (PCA) from short-term memory with the first component of the PCA from long-term memory showed a significant negative correlation. This suggests age-dependent differences in both memories, with the aged degus having higher values of long-term memory ability but poor short-term recognition memory, whereas in the young degus an opposite pattern was found. Approximately 5% of the young and 80% of the aged degus showed an impaired short-term recognition memory; whereas for long-term memory about 32% of the young degus and 57% of the aged degus showed decreased performance on the Barnes maze test. Throughout this study, we outlined age-dependent cognitive performance decline during natural aging in degus. Moreover, we also demonstrated that the use of a multivariate approach let us explore and visualize complex behavioral variables, and identified specific behavioral patterns that allowed us to make powerful conclusions that will facilitate further the study on the biology of aging. In addition, this study could help predict the onset of the aging process based on behavioral performance.

scholarly journals Functional Connectivity during Encoding Predicts Individual Differences in Long-Term Memory

2021 ◽  
pp. 1-18
Author(s):  
Qi Lin ◽  
Kwangsun Yoo ◽  
Xilin Shen ◽  
Todd R. Constable ◽  
Marvin M. Chun
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Functional Connectivity ◽  
Recognition Memory ◽  
Memory Model ◽  
Long Term Memory ◽  
Whole Brain ◽  
Term Memory ◽  
Back Task

Abstract What is the neural basis of individual differences in the ability to hold information in long-term memory (LTM)? Here, we first characterize two whole-brain functional connectivity networks based on fMRI data acquired during an n-back task that robustly predict individual differences in two important forms of LTM, recognition and recollection. We then focus on the recognition memory model and contrast it with a working memory model. Although functional connectivity during the n-back task also predicts working memory performance and the two networks have some shared components, they are also largely distinct from each other: The recognition memory model performance remains robust when we control for working memory, and vice versa. Functional connectivity only within regions traditionally associated with LTM formation, such as the medial temporal lobe and those that show univariate subsequent memory effect, have little predictive power for both forms of LTM. Interestingly, the interactions between these regions and other brain regions play a more substantial role in predicting recollection memory than recognition memory. These results demonstrate that individual differences in LTM are dependent on the configuration of a whole-brain functional network including but not limited to regions associated with LTM during encoding and that such a network is separable from what supports the retention of information in working memory.

scholarly journals Visual recognition memory, manifested as long-term habituation, requires synaptic plasticity in V1

2015 ◽  
Vol 18 (2) ◽  
pp. 262-271 ◽  
Author(s):  
Sam F Cooke ◽  
Robert W Komorowski ◽  
Eitan S Kaplan ◽  
Jeffrey P Gavornik ◽  
Mark F Bear
Keyword(s):  
Synaptic Plasticity ◽  
Recognition Memory ◽  
Visual Recognition ◽  
Visual Recognition Memory

scholarly journals Semantic Congruence Drives Long-Term Memory and Similarly Affects Neural Retrieval Dynamics in Young and Older Adults

2021 ◽  
Vol 13 ◽  
Author(s):  
Ricardo J. Alejandro ◽  
Pau A. Packard ◽  
Tineke K. Steiger ◽  
Lluis Fuentemilla ◽  
Nico Bunzeck
Keyword(s):  
Recognition Memory ◽  
Healthy Aging ◽  
Time Window ◽  
Age Groups ◽  
Event Related Potentials ◽  
Long Term Memory ◽  
Term Memory ◽  
Related Potentials ◽  
Semantic Congruence

Learning novel information can be promoted if it is congruent with already stored knowledge. This so-called semantic congruence effect has been broadly studied in healthy young adults with a focus on neural encoding mechanisms. However, the impacts on retrieval, and possible impairments during healthy aging, which is typically associated with changes in declarative long-term memory, remain unclear. To investigate these issues, we used a previously established paradigm in healthy young and older humans with a focus on the neural activity at a final retrieval stage as measured with electroencephalography (EEG). In both age groups, semantic congruence at encoding enhanced subsequent long-term recognition memory of words. Compatible with this observation, semantic congruence led to differences in event-related potentials (ERPs) at retrieval, and this effect was not modulated by age. Specifically, congruence modulated old/new ERPs at a fronto-central (Fz) and left parietal (P3) electrode in a late (400–600 ms) time window, which has previously been associated with recognition memory processes. Importantly, ERPs to old items also correlated with the positive effect of semantic congruence on long-term memory independent of age. Together, our findings suggest that semantic congruence drives subsequent recognition memory across the lifespan through changes in neural retrieval processes.

scholarly journals The Neural Substrates of Recognition Memory for Verbal Information: Spanning the Divide between Short- and Long-term Memory

2011 ◽  
Vol 23 (4) ◽  
pp. 978-991 ◽  
Author(s):  
Bradley R. Buchsbaum ◽  
Aarthi Padmanabhan ◽  
Karen Faith Berman
Keyword(s):  
Recognition Memory ◽  
Parietal Cortex ◽  
Inferior Frontal Gyrus ◽  
Neural Systems ◽  
Long Term Memory ◽  
Memory Research ◽  
Term Memory ◽  
History Of ◽  
Short And Long Term

One of the classic categorical divisions in the history of memory research is that between short-term and long-term memory. Indeed, because memory for the immediate past (a few seconds) and memory for the relatively more remote past (several seconds and beyond) are assumed to rely on distinct neural systems, more often than not, memory research has focused either on short- (or “working memory”) or on long-term memory. Using an auditory–verbal continuous recognition paradigm designed for fMRI, we examined how the neural signatures of recognition memory change across an interval of time (from 2.5 to 30 sec) that spans this hypothetical division between short- and long-term memory. The results revealed that activity during successful auditory–verbal item recognition in inferior parietal cortex and the posterior superior temporal lobe was maximal for early lags, whereas, conversely, activity in the left inferior frontal gyrus increased as a function of lag. Taken together, the results reveal that as the interval between item repetitions increases, there is a shift in the distribution of memory-related activity that moves from posterior temporo-parietal cortex (lags 1–4) to inferior frontal regions (lags 5–10), indicating that as time advances, the burden of recognition memory is increasingly placed on top–down retrieval mechanisms that are mediated by structures in inferior frontal cortex.

Neuronal activity related to long-term memory

2009 ◽  
Vol 64 (S89) ◽  
pp. 121-127 ◽  
Author(s):  
Edmund T. Rolls ◽  
A. Woody Caan ◽  
David I. Perrett ◽  
Frazer A.W. Wilson
Keyword(s):  
Neuronal Activity ◽  
Long Term Memory ◽  
Term Memory
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