The connectivity of neurons in the brain has inspired Brain Box.

“The human brain contains about one hundred billion nerve cells or neurons that each have to make a simple decision as to whether to ‘fire’ or not,” said Professor Steve Furber, in the School of Computer Science.

“Each neuron’s decision is based on how many other connecting neurons have fired recently. When this simple computation is distributed over billions of neurons, it is capable of supporting all the highly complex behavioural characteristics exhibited by humans. The Brain Box computer is being built using simple microprocessors that are designed to interact like the networks of neurons in the brain allowing it to replicate sophisticated functions such as speech.”

Once the team have successfully produced the machine they will use it to build a model of normal human language capable of reading, comprehending, speaking, naming and repeating basic words in English.

Dr Stephen Welbourne, in the School of Psychological Sciences said: “To train such a model using existing computer simulators would take far too long – possibly more than a lifetime. We will validate this model by showing that damaging it can lead to the same patterns of behaviour as those found in brain-damaged individuals.”

The team will then use the model to predict the results of different speech therapy strategies and will test these predictions in a population of stroke patients who have linguistic problems.

“Our goal is to understand how the brain supports language function, how this breaks down after brain damage and the mechanisms that support recovery and rehabilitation,” said Dr Welbourne.