In each of these videos, the experimenters are mapping out the receptive field sizes by drawing their (approximate) borders. Then they probe the receptive fields with lines of different sizes, orientations, and directional motions. In each case, you can infer the RF, what stimuli it is sensitive to, and what it is insensitive to.
I'm not an expert on this, but this is what I understood from a lecture given by an expert... Hubel and Wiesel were essentially running an experiment probing the receptive field of a cat => they accidentally found that changing the stimulus' orientation led to an increase in neural response (spikes/sec) for the particular population of neurons in the visual cortex being sampled. Essentially, the amplitude of neuronal response indicated that these neurons are tuned to a particular orientation or "edge" and fire accordingly. This is one of the main principles of vision and processing in the brain, which is reliant upon these edges and only enhanced by color.
What was also so incredible is that they found that the neurons were orientation selective. Go to around 4:30, you'll see they get action potentials for the vertical band of light but not the horizontal. This was a very big discovery
That particular neuron is only sensitive to / has receptive field at / gets input from a particular part of the visual field, Although the "whole" cat can see the whole field, that particular neuron can only see one small part of the field
@@nwiz12 From my prof: Mapping the receptive fields of different cell types. This shows the screen that the experimental animal is viewing, audio is activity of a single neuron. (0:01) simple cell (3:34) complex cell (6:10) complex directional selective cell (8:18) hypercomplex These were recorded during Hubel and Wiesel's experiments. These show the actual process of dozens of fast experiments, moving a light stimulus back and forth, that H&W used to map receptive fields.
+Chowzoo if you think about the incredible way a single neuron exists, functions, and the sheer complexity of a single neuron, how heavily it is relied upon and how magnificently consistent it is, it is truly mindblowing, far beyond "magical". This "shit" gave me goosebumps.
In each of these videos, the experimenters are mapping out the receptive field sizes by drawing their (approximate) borders. Then they probe the receptive fields with lines of different sizes, orientations, and directional motions. In each case, you can infer the RF, what stimuli it is sensitive to, and what it is insensitive to.
what is funny to think about, is that my own V1 neurons are firing exactly in the same way while I watch this video
Bruuuuh..... thats fucking real lololol
Mirror neurons are wild
that's hilarious :D you're right (hello from 2024, library)
I'm not an expert on this, but this is what I understood from a lecture given by an expert...
Hubel and Wiesel were essentially running an experiment probing the receptive field of a cat => they accidentally found that changing the stimulus' orientation led to an increase in neural response (spikes/sec) for the particular population of neurons in the visual cortex being sampled. Essentially, the amplitude of neuronal response indicated that these neurons are tuned to a particular orientation or "edge" and fire accordingly. This is one of the main principles of vision and processing in the brain, which is reliant upon these edges and only enhanced by color.
What was also so incredible is that they found that the neurons were orientation selective. Go to around 4:30, you'll see they get action potentials for the vertical band of light but not the horizontal. This was a very big discovery
For specific shapes too!
I was just reading their paper the other day. Such a wonderful work.
No subtitles no voice over to explain what is going on here!
I think Hubel and Wiesel were still trying to figure that out...
your furniture, floorboards and house are thinking
Schoolwork brought me here. LOL!
this is like cat asmr
This is awesome ! Thanks for sharing. I show many of my classes. :-)
It's astonishing...
Cool, thanks for uploading
is it firing just in a specific field because the cat is just able to see that particular area?
That particular neuron is only sensitive to / has receptive field at / gets input from a particular part of the visual field, Although the "whole" cat can see the whole field, that particular neuron can only see one small part of the field
@@AliMoeeny thanks a lot !
so what kind of machine do they use to record the brain activity from the cat??
Good old fashioned single unit recording. With a hair thin metal electrode and an amplifier attached to a speaker
can someone explain this to me?
They are just (for the first time in history?) mapping the visual "receptive field"s of different V1 cells (can primary visual cortex).
Ali Moeeny ok thank you. that is what i thought just didn't understand the context...
@@nwiz12 From my prof:
Mapping the receptive fields of different cell types. This shows the screen that the experimental animal is viewing, audio is activity of a single neuron.
(0:01) simple cell
(3:34) complex cell
(6:10) complex directional selective cell
(8:18) hypercomplex
These were recorded during Hubel and Wiesel's experiments. These show the actual process of dozens of fast experiments, moving a light stimulus back and forth, that H&W used to map receptive fields.
I feel my humanity slipping away the more I learn about this shit.
+Chowzoo what do you mean ? you mean you release there is no magic going on? it's all neurons?
+Ali Moeeny well until they solve the hard problem of consciousness I'll still be grasping onto magic LOL
+Chowzoo if you think about the incredible way a single neuron exists, functions, and the sheer complexity of a single neuron, how heavily it is relied upon and how magnificently consistent it is, it is truly mindblowing, far beyond "magical". This "shit" gave me goosebumps.
Many of our cells have similar behaviors to neuron cells, but the neuron cells are highly optimized for speed.
دمت گرم!
dude what goin on
TF is happening here?
cdlauro explained right above your comment
Amazing
i still don’t understand
trop top la vidéo !
cool story bro
KINE12BA LLN ! :)
Am I the only one who didn't understand anything