Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.

The authors analyzed spectral properties of neural activity recorded using laminar probes while mice engaged in a global/local visual oddball paradigm. They found solid evidence for an increase in ...

In recent years, the study of collective dynamics in complex systems has expanded beyond traditional pairwise network models to include non-pairwise ...