Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at dealing with the vanishing gradient problem present in traditional RNNs...

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...

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...

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...

technique particularly used for recurrent neural networks is the long short-term memory (LSTM) network of 1997 by Hochreiter & Schmidhuber. In 2009, deep...

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...

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...

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

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...

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

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

controlled states are referred to as gated states or gated memory and are part of long short-term memory networks (LSTMs) and gated recurrent units. This is...

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

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...

training time than previous recurrent neural architectures, such as long short-term memory (LSTM), and its later variation has been prevalently adopted for...

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...

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

why deep learning did not work well. To overcome this problem, long short-term memory (LSTM) recurrent neural networks had skip connections or residual...

highly effective in the short term, adverse effects associated with long-term use, including impaired cognitive abilities, memory problems, mood swings...

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

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

called long short-term memory (LSTM), published in Neural Computation. LSTM recurrent neural networks can learn "very deep learning" tasks with long credit...

method called long short-term memory (LSTM), published in 1997. LSTM recurrent neural networks can learn "very deep learning" tasks with long credit assignment...

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...