Difference between revisions of "How to Play/zh-hans"

From Eyewire
Jump to: navigation, search
(Created page with "<gallery mode="packed-hover" heights="140"> File:1.png|玩家正在寻找一块没被人工智能识别的区域 File:2.png|玩家通过单击去填充刚才找到的那点 Fi...")
(Created page with "玩家最常遇到的问题是 杂合体,杂合体是因为人工智能(AI)错误地把其它添加到正在追踪的分支。有两...")
 
(19 intermediate revisions by the same user not shown)
Line 1: Line 1:
 
__TOC__
 
__TOC__
[[File:EWOverviewMC43a.png|200px|thumb|left|Overview, EyeWire.org]]
+
[[File:EWOverviewMC43a.png|200px|thumb|left|预览全局, EyeWire.org]]
  
EyeWire challenges players, "EyeWirers," to map neurons in 3D. Upon registering, players are automatically directed through a tutorial that explains the game. Supplementary video tutorials are available [http://blog.eyewire.org/?s=tutorials here] on the [http://blog.eyewire.org EyeWire Blog]
+
==
  
In EyeWire, a gamer is given a cube with a partially reconstructed neuron branch stretching through it, called the "seed". On the right side of the screen there is a black and white image of the cross sections of neurons. A player learns to "color" inside a gray outline of a single neuron branch, which usually starts on one side of the cube, and exits out of its opposite side. This generates volumetric reconstructions, branch by branch. Multiple players map each cube and their work is compared. Advanced players, [[Advanced Roles in EyeWire#Scouts| Scouts]] and [[Advanced Roles in EyeWire#Scythes| Scythes]], oversee the work of the global community. These players have the power to extend branches and remove [[Mergers|mergers]].
+
在EyeWire中,玩家将会得到一个称为“种子”的方块,而方块里横过一部分已经建模了的神经枝杈。在游戏界面右侧黑白相间的是神经的横切面图。玩家学着在单个神经分支的灰色边界里“着色”,这样的神经分支往往起于方块的某一面,一直延伸到相对的那面。这就能为一个方块的体积建好模型,一个分支接着一个分支。很多玩家去构建每一个方块的模型,然后和其他玩家比赛他们的成果。而高级玩家[[Advanced Roles in EyeWire#Scouts|侦查兵 ]] [[Advanced Roles in EyeWire#Scythes| 大刀]],则能游览全球社区的成果。这些玩家有权去拓展分支以及除去 [[Mergers|混在一起的神经]]
  
 
详细的解说
 
详细的解说
  
玩家的任务是找出和标记人工智能没有标记到的地方,这样有助于描绘出神经的结构。有时候,只不过是填补原来模型上的空洞;有时可能是去延伸一个分叉,或者寻找新的分叉。
+
玩家的任务是找出和标记[[人工智能|Artificial Intelligence (AI)]] 没有标记到的地方,这样有助于描绘出神经细胞的结构。有时候,只不过是填补原来模型上的空洞;有时可能是去延伸一个分叉,或者寻找新的分叉。
  
 
<gallery mode="packed-hover" heights="140">
 
<gallery mode="packed-hover" heights="140">
Line 17: Line 17:
 
</gallery>
 
</gallery>
  
In the interface, a three-dimensional view on the left shows the trace of the neuron through the volume, while the player can scroll up and down in the two-dimensional slices to follow the path. The player clicks on areas in the slices to add them to the trace. The AI automatically fills in the parts of the neuron that it detects are part of the player's clicked area. Once the player has decided the cube is complete, the player clicks the "Submit" button and is presented with another cube.
+
在游戏主界面可以看到,左边是三维结构的神经细胞模型,右边是对应位置的切片图。玩家可以在方块中滑动,切片图也有相应切换。玩家通过点击切片图中不完整的区域来给AI提供标记,而AI依此自动侦测标记并生成标记所在的部分神经结构。如果玩家认为这个方块里的部分神经结构是完整的,那么玩家点击“Submit”后,就会呈现下一个方块。
  
[[File:Beckee Morrison 626 points!.jpg|thumb|Winning points]]
+
[[File:Beckee Morrison 626 points!.jpg|thumb|获得积分]]
  
===Scoring===
+
===竞技===
Each cube is played by many players.  The trace chosen by the majority of the players is accepted as true.  Players receive points based on whether their tracing matches the majority of other players' tracings and based on the new amount of neural volume found.  Players can also receive up to 20 points based on time spent on any given task for level 1 cells, or 40 points in a level 2 cell.  
+
每一个相同方块由不同的玩家完成。大多数玩家认可的神经结构的走势被选在最后的结果中。玩家的积分基于自己的发现的神经结构与大多数人的相似度以及新神经单元的发现数目。另外,玩家也好基于在每个给定任务上花费的时间获得积分。对于单个1级细胞任务,最多获得20个积分,而2级细胞任务最多获得40个积分。  
  
The other way to score points is through Trailblazing. Trailblazing is the initial trace of any given cell cube. Only players with 80% accuracy or higher are allowed to Trailblaze. Trailblazing is only awarded when a player is the first to submit the cube. Trailblazing earns the player a bonus of 50 points per cube.
+
获取积分的额外办法是通过“路标”。“路标”是每个给定细胞方块的初始轨迹。只有当玩家正确率达到80%及以上时,才能做路标。“路标”的奖励只对玩家第一次提交方块时有效。”路标“能额外奖励玩家每个方块50个积分。
  
===Helpful Tools===
+
===有用的工具===
Eyewire uses many mouse and keyboard commands to navigate its interface. The tutorial introduces most of these commands to new players. Players can also access a full list of navigation commands by clicking the question mark icon at the bottom right corner of the screen.  
+
EyeWire用很多鼠标和键盘指令去导航游戏界面。在新手教程里介绍了大多数的指令,玩家也在可以在界面底部的问号图标查看所有的指令。  
  
Players can also use "Explore Mode" during play. This turns any pieces added by the player a bright green color. When in Explore players must use the command ctrl+m to commit their work before submitting it. They can also press ctrl+d to discard. Explore mode can be accessed by clicking the compass icon at the bottom right corner of the screen.  
+
在玩的过程中,玩家可点击界面右上角的望远镜图标切换探索模式。探索模式下,玩家添加的部分被标记成绿色。玩家提交之前,必须先用指令ctrl+m确认保存已经完成的工作;也可以按下 ctrl+d 清除完成的工作。  
  
===Problems===
+
===问题===
The most frequent problem players come across are [[Overcoming_Obstacles#Mergers | mergers]]. These are partial branches that the AI has erroneously added which do not belong to the piece being traced. When a player comes across a merger there are two options. If the merger is small and does not exit the cube, the player may ignore it and trace as normal. If the merger is large or exits out any side of the cube, the player should remove the segment that attaches to the merger and continue to trace the good part of the branch to completion.
+
玩家最常遇到的问题是 [[Overcoming_Obstacles#Mergers | 杂合体]],杂合体是因为人工智能(AI)错误地把其它添加到正在追踪的分支。有两种方式处理:如果杂合体比较小或者没有延伸到方块外,玩家可以忽略;如果杂合体较大或者已经延伸到方块的任意一面,玩家需要除去错误的片段,沿着正确的部分完成那个分支。
  
Another problem a player may face is a  [[Overcoming_Obstacles#Misalignments | misalignment]]. Sometimes the slides become misaligned and cause a break in the 2D image.  When faced with this challenge a player should look for clues like branch width and direction to help them figure out where the continuation may be.
+
玩家可能遇到的另外一个问题是[[Overcoming_Obstacles#Misalignments | 断层]]。由于载玻片的偏移,就毁了二维切片图。玩家应该能找到分支的大小和方向等线索去追踪下一部分可能在哪里。
  
You can find more information on these problems [[Overcoming Obstacles|here.]]
+
你可以在 [[Overcoming Obstacles|这里]]找到关于这些问题的信息。
  
More experienced players (Scouts and Scythes) have the ability to examine and alter cubes with mergers or misalignment problems. Many players utilize the EyeWire chat if they are having a difficult problem that they need assistance on. Merger reports or other questions can also be emailed to [mailto:support@eyewire.org support@eyewire.org].
+
玩家最常遇到的问题是 [[Overcoming_Obstacles#Mergers | 杂合体]],杂合体是因为人工智能(AI)错误地把其它添加到正在追踪的分支。有两种方式处理:如果杂合体比较小或者没有延伸到方块外,玩家可以忽略;如果杂合体较大或者已经延伸到方块的任意一面,玩家需要除去错误的片段,沿着正确的部分完成那个分支。
  
 
===FAQ===
 
===FAQ===
Find a full list of Frequently Asked Questions generated by players on the [[FAQ | FAQ page]].
+
Find a full list of Frequently Asked Questions(提问最多的问题) generated by players on the [[FAQ | FAQ page]].

Latest revision as of 15:49, 27 September 2016

预览全局, EyeWire.org

==

在EyeWire中,玩家将会得到一个称为“种子”的方块,而方块里横过一部分已经建模了的神经枝杈。在游戏界面右侧黑白相间的是神经的横切面图。玩家学着在单个神经分支的灰色边界里“着色”,这样的神经分支往往起于方块的某一面,一直延伸到相对的那面。这就能为一个方块的体积建好模型,一个分支接着一个分支。很多玩家去构建每一个方块的模型,然后和其他玩家比赛他们的成果。而高级玩家侦查兵 大刀,则能游览全球社区的成果。这些玩家有权去拓展分支以及除去 混在一起的神经

详细的解说

玩家的任务是找出和标记Artificial Intelligence (AI) 没有标记到的地方,这样有助于描绘出神经细胞的结构。有时候,只不过是填补原来模型上的空洞;有时可能是去延伸一个分叉,或者寻找新的分叉。

在游戏主界面可以看到,左边是三维结构的神经细胞模型,右边是对应位置的切片图。玩家可以在方块中滑动,切片图也有相应切换。玩家通过点击切片图中不完整的区域来给AI提供标记,而AI依此自动侦测标记并生成标记所在的部分神经结构。如果玩家认为这个方块里的部分神经结构是完整的,那么玩家点击“Submit”后,就会呈现下一个方块。

竞技

每一个相同方块由不同的玩家完成。大多数玩家认可的神经结构的走势被选在最后的结果中。玩家的积分基于自己的发现的神经结构与大多数人的相似度以及新神经单元的发现数目。另外,玩家也好基于在每个给定任务上花费的时间获得积分。对于单个1级细胞任务,最多获得20个积分,而2级细胞任务最多获得40个积分。

获取积分的额外办法是通过“路标”。“路标”是每个给定细胞方块的初始轨迹。只有当玩家正确率达到80%及以上时,才能做路标。“路标”的奖励只对玩家第一次提交方块时有效。”路标“能额外奖励玩家每个方块50个积分。

有用的工具

EyeWire用很多鼠标和键盘指令去导航游戏界面。在新手教程里介绍了大多数的指令,玩家也在可以在界面底部的问号图标查看所有的指令。

在玩的过程中,玩家可点击界面右上角的望远镜图标切换探索模式。探索模式下,玩家添加的部分被标记成绿色。玩家提交之前,必须先用指令ctrl+m确认保存已经完成的工作;也可以按下 ctrl+d 清除完成的工作。

问题

玩家最常遇到的问题是 杂合体,杂合体是因为人工智能(AI)错误地把其它添加到正在追踪的分支。有两种方式处理:如果杂合体比较小或者没有延伸到方块外,玩家可以忽略;如果杂合体较大或者已经延伸到方块的任意一面,玩家需要除去错误的片段,沿着正确的部分完成那个分支。

玩家可能遇到的另外一个问题是 断层。由于载玻片的偏移,就毁了二维切片图。玩家应该能找到分支的大小和方向等线索去追踪下一部分可能在哪里。

你可以在 这里找到关于这些问题的信息。

玩家最常遇到的问题是 杂合体,杂合体是因为人工智能(AI)错误地把其它添加到正在追踪的分支。有两种方式处理:如果杂合体比较小或者没有延伸到方块外,玩家可以忽略;如果杂合体较大或者已经延伸到方块的任意一面,玩家需要除去错误的片段,沿着正确的部分完成那个分支。

FAQ

Find a full list of Frequently Asked Questions(提问最多的问题) generated by players on the FAQ page.