For example, if the 'Jennifer Anniston neuron' increases its firing then we can predict that the subject is seeing Jennifer Aniston. If the 'Halle Berry neuron' fires, then we can predict that the subject is seeing Halle Berry, and so on. To do this, we used and optimised a 'decoding algorithms', which is a mathematical method to infer the stimulus from the neuronal firing. We also needed to optimise our recording and data processing tools to record simultaneously from as many neurons as possible. Currently we are able to record simultaneously from up to 100 neurons in the human brain.

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