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...

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...

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

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:...

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

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...

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...

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

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...

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...

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

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...

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

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...

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...

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...

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

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...

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...

memories: sensory memory, short-term memory, and long-term memory. Sensory memory, in short, is the ability to hold sensory information for a short period...

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

on anesthetized rabbits to explore the role of the hippocampus in short-term memory. Lømo's experiments focused on connections, or synapses, from the...

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

classifications: short-term, long-term and sensory memory. The three types of memory have specific, different functions but each are equally important for memory processes...

learned gating mechanisms to regulate information flow, inspired by long short-term memory (LSTM) recurrent neural networks. The advantage of the Highway Network...

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