ֱ̽ of Cambridge - Bingjiang Lyu /taxonomy/people/bingjiang-lyu en Mechanisms of real-time speech interpretation in the human brain revealed /research/news/mechanisms-of-real-time-speech-interpretation-in-the-human-brain-revealed <div class="field field-name-field-news-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img class="cam-scale-with-grid" src="/sites/default/files/styles/content-580x288/public/news/research/news/girlstalking.jpg?itok=igl-_B5k" alt="" title="Credit: None" /></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p>In a<a href="http://doi.org\10.1073\pnas.1903402116"> <em>study</em></a> published today in the journal PNAS, researchers at the ֱ̽ of Cambridge developed novel computational models of the meanings of words, and tested these directly against real-time brain activity in volunteers.</p>&#13; &#13; <p>“Our ability to put words into context, depending on the other words around them, is an immediate process and it’s thanks to the best computer we’ve ever known: the brain in our head. It’s something we haven’t yet managed to fully replicate in computers because it is still so poorly understood,” said Lorraine Tyler, Director of the Centre for Speech, Language and the Brain at the ֱ̽ of Cambridge, which ran the study.</p>&#13; &#13; <p>Central to understanding speech are the processes involved in what is known as ‘semantic composition’ – in which the brain combines the meaning of words in a sentence as they are heard, so that they make sense in the context of what has already been said. This new study has revealed the detailed real-time processes going on inside the brain that make this possible.</p>&#13; &#13; <p>By saying the phrase: “the elderly man ate the apple” and watching how the volunteers’ brains responded, the researchers could track the dynamic patterns of information flow between critical language regions in the brain.</p>&#13; &#13; <p>As the word ‘eat’ is heard, it primes the brain to put constraints on how it interprets the next word in the sentence: ‘eat’ is likely to be something to do with food. ֱ̽study shows how these constraints directly affect how the meaning of the next word in the sentence is understood, revealing the neural mechanisms underpinning this essential property of spoken language – our ability to combine sequences of words into meaningful expressions, millisecond by millisecond as the speech is heard.</p>&#13; &#13; <p>“ ֱ̽way our brain enables us to understand what someone is saying, as they’re saying it, is remarkable,” said Professor Tyler. “By looking at the real-time flow of information in the brain we’ve shown how word meanings are being rapidly interpreted and put into context.”</p>&#13; &#13; <p>This research is funded by the European Research Council.</p>&#13; &#13; <p><em><strong>Reference</strong><br />&#13; Lyu, B. et al; <a href="https://www.pnas.org/doi/full/10.1073/pnas.1903402116">Neural dynamics of semantic composition.</a> PNAS (2019). DOI: 10.1073/pnas.1903402116</em></p>&#13; </div></div></div><div class="field field-name-field-content-summary field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><p>Scientists have come a step closer to understanding how we’re able to understand spoken language so rapidly, and it involves a huge and complex set of computations in the brain.</p>&#13; </p></div></div></div><div class="field field-name-field-content-quote field-type-text-long field-label-hidden"><div class="field-items"><div class="field-item even"> ֱ̽way our brain enables us to understand what someone is saying, as they’re saying it, is remarkable. By looking at the real-time flow of information in the brain we’ve shown how word meanings are being rapidly interpreted and put into context.</div></div></div><div class="field field-name-field-content-quote-name field-type-text field-label-hidden"><div class="field-items"><div class="field-item even">Lorraine Tyler</div></div></div><div class="field field-name-field-cc-attribute-text field-type-text-long field-label-hidden"><div class="field-items"><div class="field-item even"><p><a href="http://creativecommons.org/licenses/by/4.0/" rel="license"><img alt="Creative Commons License" src="https://i.creativecommons.org/l/by/4.0/88x31.png" style="border-width:0" /></a><br />&#13; ֱ̽text in this work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>. Images, including our videos, are Copyright © ֱ̽ of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our <a href="/">main website</a> under its <a href="/about-this-site/terms-and-conditions">Terms and conditions</a>, and on a <a href="/about-this-site/connect-with-us">range of channels including social media</a> that permit your use and sharing of our content under their respective Terms.</p>&#13; </div></div></div><div class="field field-name-field-show-cc-text field-type-list-boolean field-label-hidden"><div class="field-items"><div class="field-item even">Yes</div></div></div> Mon, 30 Sep 2019 19:00:00 +0000 jg533 207872 at