Unveiling the decision making process in Alzheimer's disease diagnosis: A case-based counterfactual methodology for explainable deep learning
A Valoor, GR Gangadharan - Journal of Neuroscience Methods, 2025 - Elsevier
Abstract Background The field of Alzheimer's disease (AD) diagnosis is undergoing
significant transformation due to the application of deep learning (DL) models. While DL …
significant transformation due to the application of deep learning (DL) models. While DL …
Update on “Emotion and autobiographical memory”: 14 years of advances in understanding functions, constructions, and consequences
Holland and Kensinger (2010) reviewed the literature on “Emotion and autobiographical
memory.” They focused on two broad ways that emotions influence memory:(1) emotion …
memory.” They focused on two broad ways that emotions influence memory:(1) emotion …
The neural basis responsible for the relationship between trait anxiety and upward counterfactual thinking: the role of functional connectivity between precentral gyrus …
T Suo, C Chen, H Yin, T Feng, L Wang, M Wang - Current Psychology, 2024 - Springer
People often reflect on how things end up and imagine how they could have turned out
differently. The pervasive cognitive process of imagining alternative scenarios of actual …
differently. The pervasive cognitive process of imagining alternative scenarios of actual …
[PDF][PDF] Impoverished episodic counterfactual simulation is associated with increased anxiety
Episodic counterfactual thinking (eCFT), our capacity to imagine alternative ways in which
past personal events could have occurred, is a useful psychological process. Unfortunately …
past personal events could have occurred, is a useful psychological process. Unfortunately …