In his latest work, Dr Dehaene has shown that literacy may change the brain in other ways too.
Dehaene博士在最近的研究中提出读写能够在其他方面改变我们的大脑。
Reading in the Brain by Stanislas Dehaene didn't make even that cut, though it was probably my favourite science read of 2009.
斯坦尼斯·德阿纳《大脑中的阅读》甚至没有进入那个初选单，然而它可能是2009年我最喜欢的科学读物。
In his experiments, Dehaene activates this pathway in a variety of ways, such as rotating the letters or filling the prose with errant punctuation.
在Dehaene的实验中，他用不同的方法刺激了这条神经通路，比如将书倒过来给人看，或者将标点点错。
We only become conscious of this activity when the information is broadcast to a network of neurons called the global workspace - perhaps the regions pinpointed by Dehaene.
只有相关信息传播到称之为全局平台的神经网络，我们才会意识到这一活动。这个平台也许就是Dehaene所确定的那些区域。
Mind Matters editor Gareth Cook recently talked with Dehaene about how the art of reading reveals the fundamental relationship between our cultural inventions and our evolved brain.
《心智问题》(Mind Matters)杂志主编GarethCook最近采访了Dehaene，讨论了阅读艺术是如何泄露了人类文化产物和我们大脑进化之间最根本的关系。
Dr Dehaene thinks that our visual system became sensitised to them early on, and that letters were later selected because they exploited the sensitivities of the human brain to such shapes.
Dehaene博士认为我们的目视系统在早期对他们很敏感，该字母随即被人们选择，因为他们利用了人脑对此种形状的敏感性。
Dehaene thinks our brains scoop up information in two-second gulps, or loops, so the Chinese are regularly getting a number-retention advantage just because their number words are shorter.
他认为人的大脑每2秒便记录一次信息，因此汉语言者一般有记录数字的优势，仅仅因为他们的数字读起来短。
This mystery mechanism of human transformation is neuronal recycling, coined by neuroscientist Stanislas Dehaene, wherein the brain's innate capabilities are harnessed for altogether novel functions.
这一人类质变的神秘途径就是神经元循环，这一术语由神经学家斯坦尼斯拉斯·德阿纳(StanislasDehaene)首次提出，指利用大脑的先天能力开发全新的机能。
This mystery mechanism of human transformation is neuronal recycling, coined by neuroscientist Stanislas Dehaene, wherein the brain's innate capabilities are harnessed for altogether novel functions.
这一人类质变的神秘途径就是神经元循环，这一术语由神经学家斯坦尼斯拉斯·德阿纳(StanislasDehaene)首次提出，指利用大脑的先天能力开发全新的机能。
应用推荐