Press release issued 13 October 2010
Brain imaging reveals how we learn from our competitors
The team from Bristol University led by Dr Paul Howard-Jones, Senior Lecturer in Education in the Graduate School of Education and Dr Rafal Bogacz, Senior Lecturer in the Department of Computer Science, scanned the brains of players as they battled against an artificial opponent in a computer game.
In the game, each player took turns with the computer to select one of four boxes whose payouts were simulating the ebb and flow of natural food sources.
Players were able to learn from their own successful selections but those of their competitor failed completely to increase their neural activity. Instead, it was their competitor’s unexpected failures that generated this additional brain activity. Such failures generated both reward signals in the brains of the players, and learning signals in regions involved with inhibiting response. This suggests that we benefit from our competitors’ failures by learning to inhibit the actions that lead to them.
What’s on your computer’s mind?
Surprisingly, when players were observing their competitor make selections, the players’ brains were activated as if they were performing these actions themselves. Such ‘mirror neuron’ activities occur when we observe the actions of other humans but here the players knew their opponent was just a computer and no animated graphics were used. Previously, it has been suggested that the mirror neuron system supports a type of unconscious mind-reading that helps us, for example, judge others’ intentions.
Dr Howard-Jones added: “We were surprised to see the mirror neuron system activating in response to a computer. If the human brain can respond as though a computer has a mind, that’s probably good news for those wishing to use the computer as a teacher.”
The findings of the study are revealed in a paper published online by the journal – NeuroImage.
Please contact Joanne Fryer for further information.
The researchers belong to the Neuroeducational Research Network (NEnet), whose goal is to use neuroscience to improve education.
Paper: The neural mechanisms of learning from competitors; Paul Howard-Jones1, Rafal Bogacz2, Jee H. Yoo2, Ute Leonards3 and Skevi Demetriou1, NeuroImage, Volume 53, issue 2, pages 790-799, published in print November 1, 2010.
1 Graduate School of Education, University of Bristol, 35 Berkeley Square, Bristol, BS8 1JA.
2 Department of Computer Science, University of Bristol, Merchant Venturers Building, Woodland Rd, Bristol, BS8 1UB.
3Department of Experimental Psychology, University of Bristol, 12a, Priory Road, Bristol, BS8 1TU.
Imaging was carried out using the MRI scanner at the Peninsula Medical School in Exeter.
Our neural activity tends to be stimulated by our competitor’s errors (as in the example shown here) rather than their successes.
This region of the mirror neuron system in the player’s motor cortex increased its activity when the player made moves and also when they observed their computer opponent making the same “virtual” moves – even though they knew it was a computer.
If the human brain can respond as though a computer has a mind, that’s probably good news for those wishing to use the computer as a teacher.