|  YOUNG Mozart 
              was fed up. He wanted to see the score of Allegri's Miserere but 
              no one would show it to him. This was, however, no big deal for 
              a genius. After listening to just two church performances he simply 
              wrote out the entire score from memory. Over 200 years later, although 
              such skills are rarely displayed, the potential for the rest of 
              us to exhibit them may be on the verge of being realised.
 All of us are musical to some extent; we know 
              what music we like; we often associate memories with certain pieces 
              of music and we all seem to be able to recognise music we have heard 
              before. We are, however, often unable to pinpoint exactly what we 
              like about a composition, understand why we always cry at certain 
              music or sing back a tune we immediately recognise. So we fail to 
              capitalise on our innate musical thoughts. If only it were possible 
              to express ourselves without the need for years of musical training. 
              But how?  This is the question a group at the University 
              of Glasgow is trying to answer. Led by Dr Eduardo Reck Miranda, 
              a researcher at the Sony Computer Science Laboratory in Paris, its 
              ultimate aim is to bypass the need for the technical skills required 
              to make music by playing instruments directly from a person's brainwaves. 
               Ten years ago this idea would have been consigned 
              to the realm of science fiction. Now, advances in artificial intelligence, 
              computer science, psychology and musicology are making such an ambitious 
              goal realisable. There are, however, major challenges.  The first main task is to determine how the 
              brain represents the music it hears or imagines - it is, however, 
              very reluctant to divulge these secrets. There are several methods 
              of obtaining information about what the brain is doing at any particular 
              time. The most promising is by taking electroencephalograms or EEGs. 
               These are obtained using electrodes placed on 
              the scalp to detect the electrical activity. It is anticipated that 
              by analysing the EEG signals, the researchers will be able to tie 
              specific musical ideas to particular types of activity in the brain. 
               In practice this is incredibly difficult, since 
              the brain is never working exclusively on processing music. Although 
              taking the average of many EEG recordings can help, the complexity 
              of the brainwaves means that finding recurring patterns, let alone 
              linking specific patterns with musical thoughts, is like looking 
              for needles in haystacks. Luckily for the Glasgow group, they are 
              not the only ones looking for needles.  Progress came when two pieces of apparently 
              unrelated research came together. Firstly, psychologists produced 
              experimental evidence that suggested the brain processed music and 
              language in a similar way. Secondly, Heinrich Schenker, a German 
              musicologist, proposed the idea that all good musical compositions 
              have essentially the same structure.  The fact that this structure has very obvious 
              parallels with grammar in linguistics has allowed researchers of 
              both disciplines to profit from each other's findings. This breakthrough 
              has enabled them to come much closer to answering important questions 
              concerning what it is about certain sounds that identifies them 
              as music.  Using this understanding of the structure of 
              music makes finding the equivalent patterns in the brain much easier. 
              It gives clues on how to relate brainwaves to music, using currently 
              available pattern matching technology, a type of computer called 
              a neural network.  Once this is accomplished the potential for 
              progress is almost unlimited. Computers controlled by a person's 
              brain activity could be used to play instruments and write scores, 
              musically expressing emotions otherwise inexpressible by most people. 
               Roughly speaking, a computer, linked to the 
              brain and to a synthesiser, is programmed to learn how to associate 
              classes of sound patterns with the patterns of brain activity produced 
              by a subject thinking of, or hearing music. Once the computer is 
              trained to make such associations, it can playback the sound patterns 
              associated with specific brain activities. This opens up a world 
              of possibilities presently only available to those with years of 
              musical training.  But what would the musical greats of yesteryear 
              have to say about it all? If Dr Miranda and his team are successful, 
              will the Mozarts and Beethovens need to make way for a new era of 
              music since their listeners will have become composers in their 
              own right?  It is impossible to speculate about the quality 
              of the music each one of us could be capable of generating. Will 
              the schizophrenic mind excel at creating twopart harmonies? Will 
              the ordered mind of a brilliant scientist challenge the classical 
              composers? Only this research can answer such questions.  Regardless, however, of the likely quality of 
              the music which you and I could produce surely we all deserve the 
              right to realise our full musical potential . . .it is only a thought. 
              
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