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...

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...

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...

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:...

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...

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...

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

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...

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

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...

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...

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

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...

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

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

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...

recurrent neural networks (RNNs) such as long short-term memory (LSTM). Basic ideas for this go back a long way: in 1992, Juergen Schmidhuber published...