InternalRepresentationResearch

Internal Representation of Perceived Sensor Data

@@Home -> NeoCortexResearch -> InternalRepresentationResearch

References

Source parameters:

input rectangular region of size X,Y
outputs is also some rectangle, where each output item is probability of corresponding sequence
low-probability items will not be activated if use accumulated activation
spacial factor defines how big are recognised spacial patterns
temporal factor defines how complex can be recognised sequence - temporal pattern
depth factor defines how complex is spacial-temporal pattern

Sequences and Columns:

item corresponds to cortical column
column stores spacial-temporal sequence
until allocated (filled), column is empty or half-empty
column defines maximum sequence size
half-empty sequence can be recognised, not trying to enlarge - means supporting variable-length sequences
so column can be: empty, partial/full unrecognized/recognised
column is recognised if frequence is high enough
sequence can be forgotten by column

Regions:

biologically plausible is having several regions equivalent in inputs/output sizes
can enlarge from bottom (intput) to top (output)
can have asymmetric sizes compression
if area overlap is zero, then input item is presented only in one output item; it means spacial inputs patterns are mapped to several outputs items, no one item represents whole picture; input pattern is represented by output pattern
if area overlap is not zero - then it can require too many regions to enable represent any inputs pattern by one outputs item
if find most active column on top level it is classical Jeff's HTM