By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

LSTM Recurrent Neural Network is a special version of the RNN model. It stands for Long Short-Term Memory. The simple RNN has ...

Researchers have discovered a new pathway to forming long-term memories in the brain. Their work suggests that long-term memory can form independently of short-term memory, a finding that opens ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...

Rather than holding information in specific areas of the brain, our memories are represented by the connections between neurons, called synapses. According to a recent study from the Salk Institute in ...

Researchers from Max Planck Florida Institute for Neuroscience have discovered a new pathway to forming long-term memories in the brain. Their work suggests that long-term memory can form ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...