![]() As each frequency correlates to specific sounds in each word spoken, the spectrogram can be used to recreate what had been said. The decoder was used to create a spectrogram – a visual representation of the different frequencies of sound waves heard over time. While they read the text out loud, the team worked out which neurons were reacting to what aspects of speech and generated a personalised decoder to interpret this information. Kennedy’s inaugural address or the nursery rhyme Humpty Dumpty.Įach participant was asked to read the text aloud, read it silently in their head and then do nothing. To test the idea, they recorded brain activity in another seven people undergoing epilepsy surgery, while they looked at a screen that displayed text from either the Gettysburg Address, John F. They supposed that an algorithm trained to identify speech heard out loud might also be able to identify words that are thought. ![]() The team hypothesised that hearing speech and thinking to oneself might spark some of the same neural signatures in the brain. Armed with this knowledge, the team built an algorithm that could decode the words heard based on neural activity alone ( PLoS Biology, doi.org/fzv269). One set of neurons might only react to sound waves that had a frequency of 1000 hertz, for example, while another set only cares about those at 2000 hertz. ![]() The team found that certain neurons in the brain’s temporal lobe were only active in response to certain aspects of sound, such as a specific frequency. In a previous study, Pasley and his colleagues recorded brain activity in people who already had electrodes implanted in their brain to treat epilepsy, while they listened to speech. ![]()
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