Dr. Anirban Bandyopadhyay

NIMS Tsukuba Japan

Abstract:
We focus on the Vedic musical tala, specifically the "triputa tala" based on the prime number 3, consisting of three cycles of beats, each further divided into three beats. Surprisingly, this rhythmic pattern, a fundamental element in Vedic music, is also observed in the resonance band of proteins, which we refer to as the "triplet of triplet band." Statistical analysis reveals it as the most dominant symmetry of rhythms.
Furthermore, our investigation extends beyond the world of music and proteins. We explore how basic changes in geometric shapes are adopted as knots and other forms of invariants in Vedic dance, music, art, food, culture, and festivals. We emphasize the intimate relationship between the symmetry of prime numbers and these geometric changes, enabling us to construct mathematical models that shed light on various cognitive and conscious elements. This interdisciplinary approach offers a fresh perspective on the unanticipated harmony between ancient Vedic rhythms and the intricate world of proteins, paving the way for new insights into both music and biology.

Bio:
Anirban Bandyopadhyay is a Senior Scientist in the National Institute for Materials Science (NIMS), Tsukuba, Japan. He possesses a Masters of Science in Condensed Matter Physics, Computer, Numerical Analysis, and Astrophysics from North Bengal University and a Doctor of Philosophy in Physics from Jadavpur University.
He received his PhD from the Indian Association for the Cultivation of Science (IACS), Kolkata 2004-2005, where he worked on supramolecular electronics and multi-level switching. Bandyopadhyay has developed a resonance chain based complete human brain model that is fundamentally different than Turing tape essentially developing an alternate human brain map where filling gaps in the resonance chain is the key. He has developed unique a quantum music measurement machine and experiments on DNA proteins, microtubules, neurons, molecular machines, cancer. Bandyopadhyay has also developed a new frequency fractal model. His group has designed and synthesized several forms of organic brain jelly that learns, programs and solves problems by itself for futuristic robots during as well as several software simulators that write complex codes by themselves.