Computational method for temporal pooling and correlation
AssigneeInternational Business Machines Corporation
InventorsWAYNE I. IMAINO, AHMET S. OZCAN, J. CAMPBELL SCOTT
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Abstract
A computational method is disclosed for the simulation of a hierarchical artificial neural network (ANN), wherein a single correlator pools, during a single time-step, two or more consecutive feed-forward inputs from previously predicted and now active neurons of one or more lower levels.
Claims22
A computational method for the simulation of a hierarchical artificial neural network (ANN), wherein a single correlator pools, during a single time-step, two or more consecutive feed-forward inputs from previously predicted and now active neurons of one or more lower levels.
A computational method for the simulation of a hierarchical artificial neural network (ANN), the method comprising:
- (a) correlating two pooled feed-forward inputs, S(t), from time step, t, and S(t−1), from time-step, t−1 for all times t;
- (b) indirectly learning correlation between input S(t) and S(t−t′), where t′ is a positive integer that is ≥2;
- and
- (c) outputting correlations learned in (a) and (b).
A computational method for the simulation of a hierarchical artificial neural network (ANN), the method comprising:
- (a) correlating three pooled feed-forward inputs, S(t), from time step, t, S(t−1), from time-step, t−1, and S(t−2), from time step, t−2, for all times t;
- (b) indirectly learning correlation between input S(t) and S(t−t′), where t′ is a positive integer that is ≥3;
- and
- (c) outputting correlations learned in (a) and (b).
An article of manufacture storing computer readable program code implementing a computational method for the simulation of a hierarchical artificial neural network (ANN), the medium comprising:
- (a) computer readable program code correlating two pooled feed-forward inputs, S(t), from time step, t, and S(t−1), from time-step, t−1 for all times t;
- (b) computer readable program code indirectly learning correlation between input S(t) and S(t−t′), where t′ is a positive integer that is ≥2;
- and
- (c) computer readable program code outputting correlations learned in (a) and (b).
An article of manufacture storing computer readable program code implementing a computational method for the simulation of a hierarchical artificial neural network (ANN), the medium comprising:
- (a) computer readable program code correlating three pooled feed-forward inputs, S(t), from time step, t, S(t−1), from time-step, t−1, and S(t−2), from time step, t−2, for all times t;
- (b) computer readable program code indirectly learning correlation between input S(t) and S(t−t′), where t′ is a positive integer that is ≥3;
- and
- (c) computer readable program code outputting correlations learned in (a) and (b).
Dependencies are inferred from the claim text.