AIMC Topic: Memory, Episodic
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The current state of memory Specificity Training (MeST) for emotional disorders.
Current opinion in psychology
Feb 11, 2021
Memory Specificity Training (MeST) is an intervention developed from basic science that has found clinical utility. MeST uses cued recall exercises to target the difficulty that some people with emotional disorders have in recalling personally experi...
Optimal forgetting: Semantic compression of episodic memories.
PLoS computational biology
Oct 15, 2020
It has extensively been documented that human memory exhibits a wide range of systematic distortions, which have been associated with resource constraints. Resource constraints on memory can be formalised in the normative framework of lossy compressi...
Probing the neural dynamics of mnemonic representations after the initial consolidation.
NeuroImage
Jul 31, 2020
Memories are not stored as static engrams, but as dynamic representations affected by processes occurring after initial encoding. Previous studies revealed changes in activity and mnemonic representations in visual processing areas, parietal lobe, an...
Humans
Female
Young Adult
Adult
Memory Consolidation
Hippocampus
Cerebral Cortex
Memory, Episodic
Spatial Memory
Association Learning
Mental Recall
Pattern Recognition, Visual
Male
Cues
Magnetic Resonance Imaging
Adolescent
Image Interpretation, Computer-Assisted
Brain Mapping
Support Vector Machine
From spatial navigation via visual construction to episodic memory and imagination.
Biological cybernetics
Apr 13, 2020
This hybrid of review and personal essay argues that models of visual construction are essential to extend spatial navigation models to models that link episodic memory and imagination. The starting point is the TAM-WG model, combining the Taxon Affo...
A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory.
Medical image analysis
Nov 26, 2019
In this study, a deep neural network (DNN) is proposed to reduce the noise in task-based fMRI data without explicitly modeling noise. The DNN artificial neural network consists of one temporal convolutional layer, one long short-term memory (LSTM) la...
Episodic Memory in Minicolumn Associative Knowledge Graphs.
IEEE transactions on neural networks and learning systems
Aug 5, 2019
A generalization of active neural associative knowledge graphs (ANAKGs) to their minicolumn form is presented in this paper. Each minicolumn represents a single symbol, and the activation of an individual neuron in a minicolumn depends on the context...
Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings.
Journal of neural engineering
Sep 13, 2018
OBJECTIVE: We sought to test the performance of three strategies for binary classification (logistic regression, support vector machines, and deep learning) for the problem of predicting successful episodic memory encoding using direct brain recordin...
The computerized scoring algorithm for the autobiographical memory test: updates and extensions for analyzing memories of English-speaking adults.
Memory (Hove, England)
Aug 6, 2018
The Autobiographical Memory Test (AMT) has been central in psychopathological studies of memory dysfunctions, as reduced memory specificity or overgeneralised autobiographical memory has been recognised as a hallmark vulnerability for depression. In ...
Dynamics of brain activity reveal a unitary recognition signal.
Journal of experimental psychology. Learning, memory, and cognition
Jul 19, 2018
Dual-process models of recognition memory typically assume that independent familiarity and recollection signals with distinct temporal profiles can each lead to recognition (enabling 2 routes to recognition), whereas single-process models posit a un...
Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease.
NeuroImage. Clinical
Dec 18, 2016
Rey's Auditory Verbal Learning Test (RAVLT) is a powerful neuropsychological tool for testing episodic memory, which is widely used for the cognitive assessment in dementia and pre-dementia conditions. Several studies have shown that an impairment in...
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