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Neural ensemble formation should be essential for cognition, but the neural basis of cognition is unclear in neuroscience or neurobiology. On the other hand, quantum mind and quantum cognition approaches find no logical unification due to the illogical nature of quantum theory. Based on a bipolar geometrical and logical unification of mind, light, and matter, quantum neurobiology is proposed for neural...
It is shown that an unexpected logical exposition of Dirac 3-polarizer experiment leads to a bipolar equilibrium-based geometrical and logical architecture for the unification of mind, light and matter. It is argued that, without light as a bridge, mind-matter unification would be impossible. An axiomatic proof is presented for the unification with an extension to Gödel's incompleteness theorems....
Based on YinYang bipolar fuzzy sets and bipolar quantum linear algebra (BQLA), information conservational bipolar quantum-fuzzy cognitive maps (BQFCMs) are proposed. It is shown that a relational BCM can be normalized to a bipolar quantum-fuzzy logic gate (BQFLG) matrix - the equivalent of a BQFCM for equilibrium-based business intelligence. Computability and applicability of BQFCMs are illustrated...
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