neuroscientist @HHMIJanelia, thinking about thinking, 
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If that was true, there would be “magical” combinations of neurons, which averaged would give just the right answer.
Can we find these “magical” combinations by looking at the brain while it’s looking at our images? We used a microscope to record the activity of ~20,000 neurons simultaneously. Here is all of them from one session in random colors.pic.twitter.com/iaNkGRUZCD
We used linear regression to find weights for each neuron that combine their activities into “super-neurons”.pic.twitter.com/Rxepy0oB69
These super-neurons were much less noisy than single neurons. In fact, the super-neurons could tell the difference between 45 and 46 degrees on 95% of the test trials. Can you?pic.twitter.com/wuueSaanHH
Imagine asking a mouse to distinguish such small differences... Our colleagues in @BenucciLab actually tried! The mouse could only tell apart angle differences of 29 degrees, which was about 100 times worse than the neurons.pic.twitter.com/MeXXVeiWma
Even for humans it’s difficult, but I bet you can see the difference if I make the pictures into a movie.pic.twitter.com/S7nfZEpGbP
We conclude that mice have a lot of information in their brains, which are 1000x smaller than ours.pic.twitter.com/xVxz0TW5cB
They can’t communicate this information to us, but that does not mean they don’t use it, for example as a first step to another computation.pic.twitter.com/9xxfVQ7nPW
We hope to find out in the future what these other computations might be.
We publicly shared the data and code from this paper if anyone wants to dig further. data:https://figshare.com/articles/Recordings_of_20_000_neurons_from_V1_in_response_to_oriented_stimuli/8279387 … code:https://github.com/MouseLand/stringer-et-al-2019 …
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