A new study shows that the human brain stores what we remember and the context in which it happens using different neurons.

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 ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

The human brain must be able to link memory content to the circumstances in which it occurs. Researchers in Bonn have now discovered how the human brain uses two different groups of neurons to store ...

Abstract: Understanding network generalization and feature discrimination is an open research problem in visual recognition. Many studies have been conducted to assess the quality of feature ...

Abstract: In recent years, the demand for fast and high-capacity memory has surged due to the emergence of generative AI models such as GPT. To address this need, High Bandwidth Memory (HBM) has ...