What the HECK is a Phasor? Explained by a fly.
Audience:
An arrow and a wave are the same object — a phasor. Rotating one slides the other. This video follows that idea from Euler’s formula to a fruit fly’s brain, where a rotation is performed by four scaled waves landing in shifted positions and summing.
Analytics
Comments
Good visuals, and it dives right in quick. I find myself wondering where you are heading with the explanation, so you might want to say what concept you are aiming to explain before you dive into it. Phasor was first mentioned at the 1:40 mark, which is a bit late-in-the-game IMO. Try saying something along the structure of “a phasor is ____. Basically, <the 0 to 1:40 explanation>”.
Good idea by grounding the idea in animal behavior. It makes the math a bit more approachable.
Neat intro to complex numbers. But it’s a topic that is well-trodden. So it’s particularly hard to do something that pushes the envelope.
Novel and complicated topic, at least to me. Took me a couple of watches to understand, but it was a pleasant listen and watch. I would have liked a simplified representation of the connectome of the neurons and how they activate when the fly turns, to better visualise what the functions actually do.
The opening seems a little disconnected. Most of the video is a detailed explanation of biology and mathematics, but the opening starts with the very most basic information about rectangular and polar coordinates. I suspect that anyone for whom the opening is important will be below scope for the rest of the video.
This video has great visuals and I picked up some neat tidbits like thinking of theta as a heading. However, I became very lost as soon as neurons entered the conversation. I’m still unsure of how they work biologically for the purposes of this video and how it relates to the math. I also got a bit lost on what the overall story being told is, especially with the introduction relating to coordinate transformations and similar.
This is probably my favorite SoME entry so far!
I just have one note: I think the explanation between z_self and z_world was a bit unclear. Since you are connecting phasors with this change in coordinates, I think a bit more time focused on this could have improved the outcome.
But other than that, this is a great entry. Everything is organized well, and I came away knowing something new.
The topic was interesting and it was good to see some neuroscience applications. Ultimately, the video was not really stylistically distinguished from much of the other math content available.
It was interesting and novel, but I felt it lacked some connection or animation stating exactly how the neurons mapped to a sinusoidal function. It wasn’t very clear and I got lost towards the end on how exactly this actually worked in the fly’s brain.
- Very interesting topic and good animations, but I had trouble following along to the explanations. I’m familiar with complex arithmetic and how it relates to geometry, so that wasn’t a problem. But I couldn’t wrap my head around what the goal of this calculation was. The fly needs to “calculate” - but what does this actually mean from the point of view of the fly? That it knows how it’s travelling relative to the sun? (Ok, I finally got this at the very end of the video, but it might be good to over-explain a bit more at the start)
- The whole “vectors = waves” duality was interesting and I had never learned about it before. I think I needed the explanation to to me a bit slower than it was in the video, because I had to pause and rewind a few times to understand, and it seems to be the main point, given the title.
- I think what would have really elevated this video would be to include animations to show what happens to the waves as the vector changes - it would let me see how the quantities you show are directly related to the waves of neuron activations, more than having a static vector.
- Minor point: Good animations, but at times you had a symbol or two clip underneath lines/arrows, which looks a bit messy.
- No problem with AI generated thumbnails in general, but this one has a bit of that overly detailed “slop” look to it
I just don’t quite know why it took me so long to get to a vote on this video. It is overall very solid, decently presented, and interesting. Yet I feel something about it could be improved. Wish I could put my finger on it better.