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...

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...

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

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

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:...

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...

problem, limiting their ability to learn long-range dependencies. This was solved by the long short-term memory (LSTM) variant in 1997, thus making it the...

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...

2014. A 380M-parameter model for machine translation uses two long short-term memories (LSTM). Its architecture consists of two parts. The encoder 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 was the dominant...

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

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

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...

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

long short-term memory (LSTM), published in 1995. LSTM can learn "very deep learning" tasks with long credit assignment paths that require memories of...

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...

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

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

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...

approaches, which include recurrent neural networks which made use of long short-term memory. Transformers, introduced in 2017 by Google, displaced many prior...

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