# How do they get more signals simultaneously inside a node of a neural network? [closed]

Why the circuit does not freeze/lock when the signals SUM ? But the electrical signals are SUM together in what sense?
This question is about neural network circuits because I don't understand what exactly at hardware level node is it
Is a line ?
I have a wrong image in my head about node concept because I translate like point:

if 10 machines meet at the same point or node occurs the incident, then how is adjusting the time within a neural network?

What happens inside a 'node' in artificial neural network ? Can you show me an example of hardware electronic circuit implementation about a neural network? a neural network?

Another suggest me this image to understand but I don't see circuit

a circuit with input terminals 10 to 10 independent signals.

But this is a line not a 'node'

I try to find a circuit for what you call 'node' about an artificial neural network. i don't understand how is implemented a 'node' with an electronic circuit

• Voted to close because the question is unclear. It looks like a poor computer translation of some language into English. Commented Feb 26, 2017 at 21:12
• I try to find a circuit for what you call 'node' about an artificial neural network. i don't understand how is implemented a 'node' with an electronic circuit Commented Feb 26, 2017 at 22:46
• @labteh: digital, like in FPGA? Or analog? Analog node will be made with three op-amps, two to provide the gain with the tunable parameters, one to provide summation. But you won't find it in any practical use.
– SF.
Commented Mar 2, 2017 at 17:26

And the actual summation takes form of $ax+by = z$ where $x, y$ are inputs, $z$ is output, and $a,b$ are parameters which are adjusted through the process of teaching the neural network, and since they can take negative values, $z$ may just as well come out as $x-y$ for $a=1; b=-1$.