Seeing following time of video…
As time goes, data (SDR) which encodes “time of day”, “weekend or not”, “power level” changes in input space.
And for each SDR in input space, there is one particular corresponding collection of columns (composed of colored and non-colored) in spatial pooler.
And if I click each column in spatial pooler, pattern of potential pool shows up in different pattern in each clicking columns
Q1. Even if pattern of potential pools show up differently in clicking each column of one spatial pooler, is one input SDR paired with one collection of all columns of one spatial pooler?
Q2. If one spatial pooler (all columns) is for one SDR (all cell in input space), why patterns of permanence, potential pool show up differently on each column?
Q3. I wonder correlation between one SDR in input space and one collection of columns in spatial pooler.
Q4. If I click 2 columns in spatial pooler, each column will have different pattern of connections to cells in input space.
If one spatial pooler indicates to one SDR (encoded vector based on one specific time with “time of day”, “weekend or not”, “power level” in continuous timesteps), I wonder why each column in one spatial pooler has different “potential pools”, “different connections” for one SDR.
Following time of video shows different pattern of (maybe) “potential pool” for each column of spatial pooler.
I guess like this. Please review whether my guess is correct or not.
- One input SDR in input space is the one which is encoded from one particular data like “2019/1/1 10:00 a.m.”, “power level 40”, “weekend”
- Every columns in spatial pooler indicates above input SDR.
But each column indicates SDR in different ways in different connections.
- Finally, with all connection patterns between each column and SDR, final output SDR which has fixed sparcity in spatial pooler is created as normalized form from input SDR in input space.