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 ...

Humans have the remarkable ability to remember the same person or object in completely different situations. We can easily ...

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

If you buy something using links in our stories, we may earn a commission. Learn more. Every time a human or machine learns how to get better at a task, a trail of evidence is left behind. A sequence ...

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, ...

Researchers examining the brain at a single-neuron level found that computation happens not just in the interaction between neurons, but within each individual neuron. Each of these cells, it turns ...

Educational Psychology Review, Vol. 21, No. 1, Advancing Cognitive Load Theory Through Interdisciplinary Research (March 2009), pp. 21-30 (10 pages) Learning by observing and imitating others has long ...

CAMBRIDGE, MA -- When the brain forms memories or learns a new task, it encodes the new information by tuning connections between neurons. MIT neuroscientists have discovered a novel mechanism that ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI. Every time a human or machine learns how ...