1 · The words 2 · Watch 3 · How the brain works

🧠 Neuro Lab

Your brain is about 1.4 kilograms of cells that talk to each other with electricity and chemistry. This lab takes it apart — and then shows you the part almost nobody is taught: your gut has a nervous system too, and it is doing most of the talking. 你的大脑约重 1.4 公斤,由用电和化学物质互相交流的细胞组成。这个实验室会把它拆开看—— 然后讲一个几乎没人教过的部分:你的肠道也有神经系统,而且大部分话都是它在说。

Work in this order: learn the words, watch the overview, then open the machines and say what you see. Everything on this page is meant to be said out loud. 按这个顺序:先学词,再看视频,然后打开机器,把你看到的说出来。这一页所有内容都是用来大声说的。

🔤 The words you need

Summary

Twenty-four terms this lab uses, each with a short definition, a longer explanation, and one sentence to say aloud. Learn these first, because every lesson below leans on them constantly.

摘要

本实验室使用的二十四个术语,每个都有简短定义、更详细的解释,以及一句可以大声说出的例句。先学会它们,因为下面每一课都在反复用到。

Twenty-four words. Tap 🔊 say it to hear one, and 📖 tell me more for the real explanation. Learn these first — the rest of the page uses them constantly. 二十四个词。点“🔊 say it”听发音,点“📖 tell me more”看真正的解释。先学会这些, 后面整页都在用它们。

🎬 The whole picture — about four minutes, English + 中文 subtitles

Summary

An explainer of about four minutes, running from a single cell all the way to the gut-brain loop. The narration is synthetic, and every illustration in it was drawn or generated rather than photographed.

摘要

一段约四分钟的讲解视频,从单个细胞一路讲到肠脑回路。旁白是合成语音,其中每一张插图都是绘制或生成的,而非拍摄的。

Watch this before you open the machines. It walks from one cell all the way to the gut-brain loop, so the lessons below have somewhere to land. 先看这个再打开下面的机器。它从一个细胞一路讲到肠脑回路, 这样下面的课程才有落脚点。

An explainer, about four minutes. A computer reads the words. It is not a person. Every picture in it was made by a computer too, not photographed. There is a reason for that. You cannot photograph a neuron the way you photograph a bone. So the pictures are drawings, and they say so. Subtitles in English and Chinese are in the player's own controls. Treat the video as a summary of this page, not as a source. 这段解说是合成语音,不是真人;其中每一张插图都是生成的,而非拍摄的。 神经元无法像骨头那样被拍下来,所以这些图就是示意图。字幕在播放器控件里。 请把视频当作本页的摘要,而不是资料来源。

🔬 How the brain works

Six machines. Drag the sliders, click the diagrams, break things. Then say what you see in English. 六台机器。拖动滑块,点击图示,随便弄。然后用英语说出你看到的

🔎 One cell, three jobs

Summary

A neuron has three working parts. Dendrites collect the signals coming in. The cell body adds them up. The axon carries the answer away. The cell fires only when enough inputs arrive close together in time, because the charge leaks away between them.

摘要

神经元有三个工作部件:树突收集传入的信号,胞体把它们加总,轴突把结果送走。只有足够多的输入在短时间内到达,它才会放电,因为电荷会在间隔中漏掉。

Click any part of the neuron. a neuron is about 0.01 mm across — 100 would fit in a millimetre 点击神经元的任意部分。

← click a green + or a red − → signals out −70 mV
−70 mV rest−55 mV threshold ⚡
fired 0 times
Try this:
  • Click one green synapse — not enough on its own.
  • Click three quickly — it fires.
  • Click the same three slowly — the charge leaks away, and it does not.
  • Click red ones alongside green — the inhibition cancels them out.
试试这些:点一个绿色突触——不够;快速点三个——它会放电; 同样三个慢慢点——电荷漏掉了,不会放电;绿色和红色一起点——抑制会把它抵消。

Adding up in space, and in time

No single synapse can fire this cell. One input moves it only a few millivolts, and it needs fifteen. It fires only when enough inputs arrive together. Several can arrive at the same moment. That is spatial summation. Or several can arrive one after another, before the charge leaks away. That is temporal summation. Click three green synapses slowly and watch it fail. Click the same three quickly and watch it fire. A neuron is not a wire that passes signals along. It is a cell taking a vote — and the vote expires. 没有任何单个突触能让这个细胞放电——一次输入只能把电位推高几毫伏, 而它需要十五毫伏。只有足够多的输入同时到达时它才会放电: 要么多个同时发生(空间总和),要么在电荷漏掉之前接连发生(时间总和)。 慢慢点击三个绿色突触,看它失败;再快速点击同样的三个,看它放电。 神经元不是一根传递信号的电线——它是一个正在投票的细胞,而且这张票会过期。

Neurons are not the only cells in there

Roughly half the cells in your brain are glia, not neurons. They make the myelin. They clean up waste. They feed the neurons, and they cut away connections nobody uses. For a century, scientists called them packing material. They were wrong. 你大脑中约有一半细胞是神经胶质细胞,而不是神经元。它们制造髓鞘、清理废物、 为神经元提供营养、修剪无用的连接。它们曾被当作“填充物”整整一个世纪,其实并不是。

Why a dendrite looks like a tree

The diagram above draws the dendrites as a few simple lines. A real one is not simple. It splits, and each branch splits again, and those branches split too. The same shape keeps repeating at smaller and smaller sizes. A shape that does that has a name. It is a fractal.

There is a reason for the shape. The cell has to collect signals from thousands of other cells. Branching packs an enormous collecting surface into a very small space. Nature reuses this trick everywhere — in ferns, in lightning, in river deltas — because the problem keeps coming back. If you want to see that, and build fractals yourself, this site has a whole lesson on them: Fractals — one rule, run again and again. Come back here afterwards and look at the drawing below again. 上面的图把树突画成几条简单的线条,真实的树突并不简单。 它分叉,每个分支再分叉,那些分支又继续分叉。同样的形状在越来越小的尺度上不断重复。 这样的形状有一个名字:分形

这个形状是有原因的。这个细胞必须从上千个其他细胞那里收集信号。 分叉能把巨大的收集面积塞进很小的空间。自然界到处都在重复使用这个技巧—— 蕨类、闪电、河流三角洲——因为同样的问题一再出现。想看这些例子并亲手做出分形, 本站有一整课:分形——一条规则,反复运行。 看完再回来,重新看一眼下面这幅图。
Cajal's ink drawing of a human Purkinje cell on aged paper: one thin axon at the bottom, and above the cell body a dense flat tree of dendrites filling the sheet, with a Museo Cajal stamp in the corner
This is a real neuron, drawn by hand from a real microscope. Santiago Ramón y Cajal drew this Purkinje cell from a human cerebellum, well over a hundred years ago. You are looking at his actual sheet of paper — the round stamp in the corner is the Cajal Museum in Madrid. The single thin line leaving the bottom is the axon, marked a. Everything above the cell body is one set of dendrites, belonging to that one cell. Count the levels of branching. That is what "fractal" means, and this drawing is the evidence for it. 这是一个真实的神经元,由人手对着显微镜画下。 圣地亚哥·拉蒙-卡哈尔在一百多年前画下了这个来自人类小脑的浦肯野细胞。 你看到的就是他本人的那张纸——角落里的圆形印章是马德里的卡哈尔博物馆。 从底部伸出的那条细线是轴突(标记为 a)。 胞体以上的全部结构,都是这一个细胞的树突。数一数分叉的层数——这就是“分形”的含义。 Santiago Ramón y Cajal — public domain, Cajal Institute (CSIC), Madrid, via Wikimedia Commons.

📌 Points to Remember

The six things worth carrying out of this lab. 这个实验室里最值得记住的六点。

  • Voltage is a difference between two points. “−70 mV” means the inside sits lower than the outside — and the minus sign is only a choice about where zero goes. 电压是两点之间的差值。“−70 毫伏”表示内部低于外部, 而负号只是零点选在哪里的问题。
  • A neuron cannot shout louder. Below the threshold nothing happens; above it you always get the same full spike. To signal something stronger it fires more often. 神经元无法喊得更大声。低于阈值毫无反应,高于阈值总是同样的完整脉冲。 要表示更强的信号,它只能放电得更频繁。
  • It only fires when enough inputs arrive together. The charge leaks away, so the same three signals can fire the cell when they are fast and fail when they are slow. 只有足够多的输入同时到达时它才会放电。电荷会漏掉, 所以同样的三个信号,快速到达能让细胞放电,缓慢到达就不行。
  • Neurons that fire together, wire together. Used connections are strengthened; unused ones are weakened and eventually pruned away. 一起放电的神经元会连在一起。用到的连接会增强, 闲置的会被削弱并最终被修剪掉。
  • Your gut has its own nervous system — about 500 million neurons — and the vagus nerve carries far more signals up than down. It reports more than it is ordered. 你的肠道有自己的神经系统——约五亿个神经元—— 而迷走神经向上传的信号远多于向下传的。它汇报的比接收的指令多。
  • Gut serotonin does not reach the brain. The gut-brain link is real and two-way, but the effect in humans is modest — anyone selling it as a cure is ahead of the evidence. 肠道血清素无法到达大脑。肠脑联系真实存在且是双向的, 但它在人类身上的效应有限——任何把它当作治疗来卖的人,都跑在证据前面了。

Thank you for working through it — and see you in the next lab. 感谢你完成这一课——我们下个实验室见。

🖼️ Picture credits

Two kinds of picture appear on this page, and they are not the same thing. Every diagram is drawn by the page itself, in code, and every illustration in the video was generated by a computer. The two drawings are neither. Santiago Ramón y Cajal made them by hand, looking down a microscope, more than a hundred years ago. They are not decoration. They are the historical evidence for what the diagrams only sketch, and that is why they are here. 本页上有两类图像,它们并不相同。所有示意图都是页面用代码自己绘制的, 视频中的插图则由计算机生成。那两幅手绘两者都不是: 一百多年前,圣地亚哥·拉蒙-卡哈尔对着显微镜亲手画下了它们。 它们不是装饰,而是示意图所简化的那些结构的历史证据——这正是它们出现在这里的原因。