3 ms·

So current sensory info is a vector of numbers, and past memory info is a vector of numbers, and these two vectors are orthogonal. What are these numbers, prec

• rkp8000 6y ago
  My simplified picture of what’s going on is something like this (if I’m understanding the paper correctly). Stimulus A starts out represented by the vector (1,1,1,1) and B by (-1,-1,-1,-1). Those are the sensory representations. Later A is represented by (1,1,-1,-1) and B by (-1,-1,1,1). Those are the memory representations. The last two component/neurons have “switched” their selectivity and rotated the encoding. The directions (1,1,1,1) and (1,1,-1,-1) are orthogonal, so you can store sensory info (A vs B in the present) along one and memory info (A vs B in the past) aling the other.
• resonantjacket5 6y ago
  In a simple example that I can think of it could just be a vector of <present, past> aka the current info could be encoded like [<2, 0>, <4, 0>] then rotated to ("y axis") [<0, 2>, <0, 4>] allowing you to write more "present" data to the original x dimension without overriding the past data. If you're asking about the exact numbers here's a snippet from the xlsx document. ``` ABCD_mean ABCD_se ABCD_mean ABCD_se XYCD_mean XYCD_se XYCD_mean XYCD_se day neuron subject time 0 6.012574653 0.5990308106 6.181361381 0.5737310366 6.59759636 0.6419092978 6.795648346 0.5716884524 1 2 M496 -50 ``` According to the article SEM neural activity, though this is way beyond my ability to interpret.