Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem commonly encountered by traditional...

Long-term memory (LTM) is the stage of the Atkinson–Shiffrin memory model in which informative knowledge is held indefinitely. It is defined in contrast...

Short-term memory (or "primary" or "active memory") is the capacity for holding a small amount of information in an active, readily available state for...

visual short-term memory (VSTM) is one of three broad memory systems including iconic memory and long-term memory. VSTM is a type of short-term memory, but...

memory psychology differentiates between the two distinct types of memory storage: short-term memory and long-term memory. Several models of memory have...

unable to recall them again from long-term memory. This gave researchers evidence that short-term and long-term memory are in fact two different processes...

memory is often used synonymously with short-term memory, but some theorists consider the two forms of memory distinct, assuming that working memory allows...

with optical computation. Apart from long short-term memory (LSTM), other approaches also added differentiable memory to recurrent functions. For example:...

Intermediate-term memory (ITM) is a stage of memory distinct from sensory memory, working memory/short-term memory, and long-term memory. While sensory memory persists...

learning and bioinformatics, most notably the development of the long short-term memory (LSTM) neural network architecture, but also in meta-learning, reinforcement...

spatial memories are summarized as a cognitive map. Spatial memory has representations within working, short-term memory and long-term memory. Research...

e_{2}} . There has been success in using long short-term memory (LSTM) models to generate paraphrases. In short, the model consists of an encoder and decoder...

register, where sensory information enters memory, a short-term store, also called working memory or short-term memory, which receives and holds input from...

He is best known for his foundational and highly-cited work on long short-term memory (LSTM), a type of neural network architecture which was the dominant...

memory (PBWM) is an algorithm that models working memory in the prefrontal cortex and the basal ganglia. It can be compared to long short-term memory...

lack of long term memory due to the vanishing gradient problem, thus it is rarely used over newer implementations. A long short-term memory (LSTM) network...

network is constructed by simply stacking these blocks. Long short-term memory (LSTM) has a memory mechanism that serves as a residual connection. In an...

positive and negative effects on different aspects of memory. The effect of caffeine on short-term memory (STM) is debated amongst academics. Studies conclude...

limits their ability to learn long-range dependencies. This issue was addressed by the development of the long short-term memory (LSTM) architecture in 1997...

networks, introduced in 2014 by Kyunghyun Cho et al. The GRU is like a long short-term memory (LSTM) with a gating mechanism to input or forget certain features...

(2016). "Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks". Bioinformatics. 33 (5): 685–692. doi:10...

functioning that is made up of a sensory processor, short-term (or working) memory, and long-term memory. This can be related to the neuron. The sensory processor...

more accurate model of primary memory (often referred to as short-term memory). Working memory splits primary memory into multiple components, rather...

Time Aware LSTM (T-LSTM) is a long short-term memory (LSTM) unit capable of handling irregular time intervals in longitudinal patient records. T-LSTM was...

self-attention mechanism instead of a Recurrent neural network or Long short-term memory (which rely on recurrence instead) allow for better performance...

task can be used to demonstrate the working memory abilities of algorithms like PBWM or Long short-term memory. The input of the task is a sequence of the...

time than earlier recurrent neural architectures (RNNs) such as long short-term memory (LSTM). Later variations have been widely adopted for training large...

pattern, it becomes inaccurate. It can be useful in both short- and long-range forecast|long range forecasts. Measurements of barometric pressure and...

that can be stored within the brain and recalled later from long-term memory. Working memory stores information for immediate use or manipulation, which...

symptoms of memory loss in both their short- and long-term memory; Alzheimer's is a prime example of this. Recent research on the development of memory has indicated...