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, ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

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 recent study from the lab of Dr. Jianrong Tang, associate professor at Baylor College of Medicine and principal investigator at the Jan and Dan Duncan Neurological Research Institute (Duncan NRI) at ...

A new ultra-small and ultra-flexible electronic neural implant, delivered via blood vessels, can record single-neuron activity deep within the brains of rats, according to new study. "This technology ...