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Active forgetting and neuropsychiatric diseases
Recent and pioneering animal research has revealed the brain utilizes a variety of molecular, cellular, and network-level mechanisms used to forget...
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Adaptive forgetting speed in working memory
Working memory is known to be capacity-limited and is therefore selective not only for what it encodes but also what it forgets. Explicit forgetting...
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Emotional associative memory is disrupted by directed forgetting
Memory is susceptible to voluntary disruption, for instance, through directed forgetting manipulations, in which people are cued to intentionally...
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Transformer-based convolutional forgetting knowledge tracking
Knowledge tracking is to analyze the mastery of students' knowledge through the learning track. This is very important for online education, since it...
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Effect of levels-of-processing on rates of forgetting
The levels-of-processing (LOP) framework, proposing that deep processing yields superior retention, has provided an important paradigm for memory...
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Informative representations for forgetting-robust knowledge tracing
Tracing a student’s knowledge state is critical for teaching and learning. Knowledge tracing aims to accurately predict student performance by...
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The forgetting curve in entrepreneurship: decaying learning benefits of past entrepreneurial experience
The study presented in this paper sets out to identify the presence of a forgetting curve decaying the experiential learning benefits of serial...
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Long-term and short-term memory networks based on forgetting memristors
The hardware circuit of neural network based on forgetting memristors not only has the characteristics of high computational efficiency and low power...
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On the role of inhibition in suppression-induced forgetting
Suppressing retrieval of unwanted memories can cause forgetting, an outcome often attributed to the recruitment of inhibitory control. This...
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Drinking the waters of Lethe: Bringing voluntary choice into the study of voluntary forgetting
The directed forgetting paradigm has long been used to test whether humans can voluntarily choose to forget learned information. However, to date,...
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A deep-feature based estimation algorithm (DFEA) for catastrophic forgetting
A deep learning network is super-efficient for image processing. The artificial brain of the deep learning system is highly capable of solving the...
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Compositional Prompting for Anti-Forgetting in Domain Incremental Learning
Domain Incremental Learning (DIL) focuses on handling complex domain shifts of a continuous data stream for visual tasks such as image classification...
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Engram neurons: Encoding, consolidation, retrieval, and forgetting of memory
Tremendous strides have been made in our understanding of the neurobiological substrates of memory – the so-called memory “engram”. Here, we...
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Modelling forgetting due to intermittent production in mixed-model line scheduling
Forgetting effects occur whenever production is interrupted and workers lose previously acquired routine. Existing forgetting models primarily...
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Air traffic control forgetting prediction based on eye movement information and hybrid neural network
Control forgetting accounts for most of the current unsafe incidents. In the research field of radar surveillance control, how to avoid control...
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The effects of preconceptions on directed forgetting - the example of e-learning
This study used the item-based legal forgetting paradigm to investigate the effects of preconception type and material type on directed forgetting,...
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Forgetting Corporate Irresponsibility: The Role of Corporate Political Activities and Stakeholder Characteristics
Corporate social irresponsibility continues despite institutional pressures for socially responsible behavior, resulting in disasters like the...
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Inducing forgetting of unwanted memories through subliminal reactivation
Processes that might facilitate the forgetting of unwanted experiences typically require the actual or imagined re-exposure to reminders of the...
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Adaptive trajectory prediction without catastrophic forgetting
Pedestrian trajectory prediction is a necessary component of autonomous driving technology. However, current methods face two troubles when utilized...
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To-be-forgotten information shows more relative forgetting over time than to-be-remembered information
People can intentionally forget studied material when cued to do so. Corresponding evidence has arisen from studies on item-method directed...
