A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Memories and learning processes are based on changes in the brain's neuronal connections, and as a result, in signal ...

Researchers at Leipzig University's Carl Ludwig Institute for Physiology, working in collaboration with Johns Hopkins ...

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — ...

The deep learning field has been dominated by “large models” requiring massive computational resources and energy, leading to unsustainable environmental and economic challenges. To address this, ...

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Scientists have developed an AI-driven approach that significantly advances our understanding of the hand's complex motor functions. The team used a creative machine learning strategy that combined ...

Our bodies’ nerve cells are important for transmitting electrical and chemical information between different parts of the brain and between the brain and other parts of the nervous system. One of the ...