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The statistical study of human memory requires large-scale experiments, involving many stimuli conditions and test subjects. While this approach has proven to be quite fruitful for meaningless material such as random lists of words,…

Computation and Language · Computer Science 2024-11-26 Antonios Georgiou , Tankut Can , Mikhail Katkov , Misha Tsodyks

Recently it was shown explicitly that free recall consists of two stages: the first few recalls empty working memory (narrowly defined) and a second stage, a reactivation stage, concludes the recall (Tarnow, 2015). It was also shown that…

Neurons and Cognition · Quantitative Biology 2016-03-28 Eugen Tarnow

Purpose: This study investigates whether a machine-learning-based system can predict the rate of cognitive decline in mildly cognitively impaired patients by processing only the clinical and imaging data collected at the initial visit.…

Quantitative Methods · Quantitative Biology 2020-10-07 Sema Candemir , Xuan V. Nguyen , Luciano M. Prevedello , Matthew T. Bigelow , Richard D. White , Barbaros S. Erdal

Developmental amnesia, featured with severely impaired episodic memory and almost normal semantic memory, has been discovered to occur in children with hippocampal atrophy. This unique combination of characteristics seems to challenge the…

Neurons and Cognition · Quantitative Biology 2026-02-16 Qi Zhang

A stochastic model of short-term verbal memory is proposed, in which the psychological state of the subject is encoded as the instantaneous position of a particle diffusing over a semantic graph with a probabilistic structure. The model is…

Neurons and Cognition · Quantitative Biology 2017-03-22 Francesco Fumarola

Alzheimer's disease is a progressive neurological disorder characterized by cognitive impairment and memory loss. With the increasing aging population, the incidence of AD is continuously rising, making early diagnosis and intervention an…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Guian Fang , Mengsha Liu , Yi Zhong , Zhuolin Zhang , Jiehui Huang , Zhenchao Tang , Calvin Yu-Chian Chen

Pre-symptomatic (or Preclinical) Alzheimer's Disease is defined by biomarker evidence of fibrillar amyloid beta pathology in the absence of clinical symptoms. Clinical trials in this early phase of disease are challenging due to the slow…

Applications · Statistics 2020-03-10 Dan Li , Samuel Iddi , Paul S. Aisen , Wesley K. Thompson , Michael C. Donohue

Learning and memory impairments are common characteristics of individuals with mild cognitive impairment (MCI) and mild Alzheimer's disease (miAD). Early diagnosis of MCI is necessary to prevent recurrence of the disease and developing of…

Neurons and Cognition · Quantitative Biology 2021-10-26 Mahmoud Kargar , Alireza Mohammadi

Images vary in how memorable they are to humans. Inspired by findings from cognitive science and computer vision, we explore correlates of image memorability in pretrained transformer-based vision encoders for the first time. Focusing…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Ece Takmaz , Albert Gatt , Jakub Dotlacil

Social learning, a cornerstone of cultural evolution, enables individuals to acquire knowledge by observing and imitating others. At the heart of its efficacy lies episodic memory, which encodes specific behavioral sequences to facilitate…

Artificial Intelligence · Computer Science 2024-12-31 Ismael T. Freire , Paul Verschure

Humans excel at remembering concrete experiences along spatiotemporal contexts and performing reasoning across those events, i.e., the capacity for episodic memory. In contrast, memory in language agents remains mainly semantic, and current…

Artificial Intelligence · Computer Science 2026-03-03 Yiheng Shu , Saisri Padmaja Jonnalagedda , Xiang Gao , Bernal Jiménez Gutiérrez , Weijian Qi , Kamalika Das , Huan Sun , Yu Su

Early clinical assessment of Alzheimer's disease relies on behavior scores that measure a subject's language, memory, and cognitive skills. On the medical imaging side, functional magnetic resonance imaging has provided invaluable insights…

Signal Processing · Electrical Eng. & Systems 2026-04-14 Javier Salazar Cavazos , Maximillian Egan , Krisanne Litinas , Benjamin Hampstead , Scott Peltier

Many different studies have suggested that episodic memory is a generative process, but most computational models adopt a storage view. In this work, we propose a computational model for generative episodic memory. It is based on the…

Neurons and Cognition · Quantitative Biology 2021-11-29 Zahra Fayyaz , Aya Altamimi , Sen Cheng , Laurenz Wiskott

INTRODUCTION: Heterogeneity in the progression of Alzheimer's disease makes it challenging to predict the rate of cognitive and functional decline for individual patients. Tools for short-term prediction could help enrich clinical trial…

Quantitative Methods · Quantitative Biology 2021-01-22 Neda Shafiee , Mahsa Dadar , Simon Ducharme , D. Louis Collins

Growing neuropsychological and neurophysiological evidence suggests that the visual cortex uses parts-based representations to encode, store and retrieve relevant objects. In such a scheme, objects are represented as a set of spatially…

Neurons and Cognition · Quantitative Biology 2015-03-13 Jenia Jitsev , Christoph von der Malsburg

Episodic memory -- the ability to recall specific events grounded in time and space -- is a cornerstone of human cognition, enabling not only coherent storytelling, but also planning and decision-making. Despite their remarkable…

Computation and Language · Computer Science 2025-01-24 Alexis Huet , Zied Ben Houidi , Dario Rossi

This study examines the potential causal relationship between head injury and the risk of developing Alzheimer's disease (AD) using Bayesian networks and regression models. Using a dataset of 2,149 patients, we analyze key medical history…

Machine Learning · Computer Science 2025-02-19 Andrei Lixandru

Memory disorders are a central factor in the decline of functioning and daily activities in elderly individuals. The confirmation of the illness, initiation of medication to slow its progression, and the commencement of occupational therapy…

Sound · Computer Science 2024-02-08 Marko Niemelä , Mikaela von Bonsdorff , Sami Äyrämö , Tommi Kärkkäinen

Background: Dementia, particularly Alzheimer's Disease (AD), is a progressive neurodegenerative disorder marked by cognitive decline. Early detection, especially at the Mild Cognitive Impairment (MCI) stage, is essential for timely…

Signal Processing · Electrical Eng. & Systems 2025-10-16 Shivani Ranjan , Anant Jain , Robin Badal , Amit Kumar , Harshal Shende , Deepak Joshi , Pramod Yadav , Lalan Kumar

We discuss memory models which are based on tensor decompositions using latent representations of entities and events. We show how episodic memory and semantic memory can be realized and discuss how new memory traces can be generated from…

Artificial Intelligence · Computer Science 2017-08-29 Volker Tresp , Yunpu Ma