- less dimensions
- if the input has less dimensions then it can use only some of the available dimensions in the ensembler
- Or, it can put values from one of its dimensions into more than one dimension of the ensemble
- this can be set in the transform values of the termination
- more dimensions
- using the same approach:
- an input dimension could be set to 0 to ignore it
- or two or more input dimensions can load on the same dimension in the ensemble
- in this case the vectors are added
- the adding takes place after the weights of the transform matrix are applied
This blog is for notes on how to use the Nengo spiking neuron modeling system
Monday, June 6, 2011
passing values: unequal dimensionality
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