Class measure_cog

source code

Calculate center of gravity (CoG) for each CF of each unit in each CFSheet.

Unlike measure_position_pref and other measure commands, this one does not work by collating the responses to a set of input patterns. Instead, the CoG is calculated directly from each set of incoming weights. The CoG value thus is an indirect estimate of what patterns the neuron will prefer, but is not limited by the finite number of test patterns as the other measure commands are.

Measures only one projection for each sheet, as specified by the proj_name parameter. The default proj_name of '' selects the first non-self connection, which is usually useful to examine for simple feedforward networks, but will not necessarily be useful in other cases.

dict() -> new empty dictionary.
dict(mapping) -> new dictionary initialized from a mapping object's
    (key, value) pairs.
dict(seq) -> new dictionary initialized as if via:
    d = {}
    for k, v in seq:
        d[k] = v
dict(**kwargs) -> new dictionary initialized with the name=value pairs
    in the keyword argument list.  For example:  dict(one=1, two=2)