Stable Time-invariant Representation of Event-invariant Phenomena by orthogonal complementary learning in the Eigenfunction Synchronicity Model -Utility of zero representation of time-discretized information in time-continuous phenomena Part 10-

Naoki Nishio

[3P-265] Stable Time-invariant Representation of Event-invariant Phenomena by orthogonal complementary learning in the Eigenfunction Synchronicity Model -Utility of zero representation of time-discretized information in time-continuous phenomena Part 10-

*Naoki Nishio^1,2, Taro Maeda^1,2, Yasuto Tanaka^1,3,4 (1. Osaka Univ., 2. CiNet, 3. Miki. Inc. Research and Development, Section, 4. Neuro-Mathematics Lab.)

Keywords:Wave Field, Eigenfunction Synchronicity Model, Self-Organization, Consciousness

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[3P] G. Modeling, Hardware Implementation, and Applications

[3P-265] Stable Time-invariant Representation of Event-invariant Phenomena by orthogonal complementary learning in the Eigenfunction Synchronicity Model -Utility of zero representation of time-discretized information in time-continuous phenomena Part 10-

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