Thought-controlled Computer Cursor

Thought-Controller Computer Cursor Becomes A Reality 

According to a report released on November 19, 2012, researchers led by Indian-origin Scientists have designed the fastest and most accurate mathematical algorithm yet that can help disabled users to move computer cursors with their thoughts. The path breaking recherche was led by Krishna Shenoy of Stanford University, USA. 

The algorithm's speed, accuracy and natural movement closely match those of a real arm. They researchers developed the algorithm form brain-implantable prosthetic systems, known as REFIT, which vastly improves the speed and accuracy of neural prosthetic that control's computer cursors.

The system relies on sensor implanted into the brain, which record's "action potentials" in neural activity form an array of electrode sensors and sends data to a computer. In demonstrations with rhesus monkeys, cursors controlled by the new algorithm doubled the performance of the monkey's actual arm in controlling the cursor.