Sudeshna Pramanik
;
Pushpendra Singh
;
Pathik Sahoo
;
Kanad Ray
;
Anirban Bandyopadhyay
説明:
(abstract)From image processing to information retrieval from the brain structure and signal, brain researchers find common geometric shapes from the lower dimensional data to derive higher dimensional data and create the elements of higher dimensional data. We have challenged this culture and argued to replace it with a practice to find elements in the orthogonal space, which are conceptually invariants of lower dimensions. At the same time, we have argued to replace space-time with space-time-topology-prime-based invariants under the self-operating material universe, SOMU, since the density of primes is a bias-free infinite source to deliver unique symmetries perpetually. Here we have derived the topology or morphogenesis from the density of primes and estimated the framework of maniflats and manifolds derived from the 1D to 20D tensors holding the within-and-above network of invariants as conscious thoughts of a human brain.
権利情報:
キーワード: Self-operating mathematical universe, SOMU, prime number theorem, density of primes
刊行年月日: 2023-05-28
出版者: Springer Nature Singapore
掲載誌:
研究助成金:
原稿種別: 著者最終稿 (Accepted manuscript)
MDR DOI: https://doi.org/10.48505/nims.5268
公開URL: https://doi.org/10.1007/978-981-19-9483-8_38
関連資料:
その他の識別子:
連絡先:
更新時刻: 2025-01-11 16:31:01 +0900
MDRでの公開時刻: 2025-01-11 16:31:01 +0900
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TCCE 2022_ Mathematical model of cognition.docm
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