quail.
Fingerprint
(init=None, features='all', state=None, n=0, permute=False, nperms=1000, parallel=False)[source]¶Class for the memory fingerprint
A memory fingerprint can be defined as a subject’s tendency to cluster their recall responses with respect to more than one stimulus feature dimensions. What is a ‘stimulus feature dimension’ you ask? It is simply an attribute of the stimulus, such as its color, category, spatial location etc.
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Methods
update (egg[, permute, nperms, parallel]) |
In-place method that updates fingerprint with new data |
get_features | |
next |
__init__
(init=None, features='all', state=None, n=0, permute=False, nperms=1000, parallel=False)[source]¶Methods
__init__ ([init, features, state, n, ...]) |
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get_features () |
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update (egg[, permute, nperms, parallel]) |
In-place method that updates fingerprint with new data |