Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

This learned suppression is an important component of the human visual system ... the brain began to suppress that position within the very first moments of visual processing.

New research reveals that the brain may be learning even during unstructured, aimless exploration. By recording activity in ...

In fact, the human brain's visual system actively reshapes how it represents ... so it's exactly when extra processing would be most helpful. We could actually see clearer neural patterns in ...

New research reveals how the brain precisely recognizes objects. It uses complex, non-linear interactions between brain cells ...

David Hubel and Torsten Wiesel discovered how the cerebral cortex processes visual information. Their research won them the ...

Activity levels in a specific region of the brain predict whether we think something is real, irrespective of whether we've ...

Lead author Nadine Dijkstra noted that while imagination does stimulate the same region, the signal is usually too weak to ...

A pattern of neural activity in the brain typically associated with attention, memory and perception; usually involves brain waves in the 30–100 Hz range. Bilateral advantage The cognitive benefit ...

QUT robotics researchers have developed a new robot navigation system that mimics the neural processes of the human brain and ...