Their theory suggests math disability is linked to abnormalities in brain areas supporting procedural memory.
他们的理论认为，数学废与大脑中负责产生记忆的部位异常有关。
Procedural memory is your memory for skills, such as how to hit a tennis ball. This doesn't take conscious thought.
程序性记忆是对技能的记录，比如如何打网球，这并不需要意识过程。
This contrasts with procedural memory, of the skills required to perform some sort of mechanical task, such as driving.
和这种记忆相反的是“程序记忆”，是记住那种完成机械任务所需的技能，例如开车。
However, for some children with math disability, procedural memory may not be working well, so math skills are not automatized.
然而，对于数学废儿童而言，他们的程序记忆运转也许并不顺利，因此他们的数学技能并未达到自动化。
It's likely to be the procedural memory system that's really important for learning these difficult morphological aspects of language.
在较有难度的语言形态学方面的学习中，程序性以及系统可能发挥着更大的作用。
The regions activated by word tags are involved in procedural memory, the kind of memory that controls automatic tasks like riding a bicycle.
与之对应的标签式句子相关联的大脑区域是程序性记忆，这种类型的记忆控制一些自动进行的活动，如骑自行车。
Different from declarative memory, procedural memory is a storage of procedures and skills that cannot be easily verbalized such as riding a bike and swimming.
与陈述性记忆不同，程序性记忆是用来储存难以用言语表达的操作和技术，如骑车、游泳等。
A recent study suggests that our ability to construct sentences may arise from procedural memory-the same simple memory system that lets our dogs learn to sit on command.
该研究表明人类造句的能力可能基于过程性记忆，这个记忆系统与让狗记住“坐”这个命令的过程一样简单。
For example, declarative memory may first be used to consciously learn how to [en] drive, but then with practice driving gradually becomes automatized in procedural memory.
比如，我们可能要先利用陈述性记忆来有意识地学习如何开车，接着在程序记忆中慢慢练习开车，最后开车变成自动行为。
To a certain extent, musical memory is procedural rather than declarative.
在某种程度上，音乐记忆是程序性记忆而不是陈述性记忆。
Moreover, some XPath implementations are written carefully, to make more efficient use of memory than a naive procedural search.
此外，一些XPath实现是非常细致地编写的，其内存使用率比普通的过程搜索更高。
In-memory XML tree modification using procedural code.
使用过程代码的内存中xml树修改法。
In-memory XML tree modification using procedural code.
使用过程代码的内存中xml树修改法。
应用推荐