Computational and Structural Biotechnology Journal
December 29, 2025
Silvia Tapia-Gonzalez, Josue G. Yagüe, George E. Barreto
Major depressive disorder (MDD) is a multifactorial mental health condition involving genetic, environmental, and neurobiological factors. Conventional antidepressants such as fluoxetine, a selective serotonin reuptake inhibitor, require weeks to exert therapeutic effects, whereas ketamine and esketamine act rapidly via glutamatergic modulation. These drugs may also converge on the inhibition...
Computational and Structural Biotechnology Journal
2025
Álex Escolà-Gascón
10 citations
What if quantum entanglement could accelerate learning by unlocking higher states of conscious experience? This study provides empirical and statistical evidence of how quantum entanglement influences consciousness at a biophysical level. We analyzed data from 106 monozygotic twin pairs (N = 212), randomly assigned to control and experimental groups. Using a consanguinity-based matching...
Computational and Structural Biotechnology Journal
2025
Álex Escolà-Gascón, Julián Benito-León
5 citations
Quantum theories have long sought to explain conscious experience, yet their biggest challenge is not conceptual but methodological. A critical gap remains: the lack of statistical tools capable of empirically testing these theories against objective reality. This study introduces and formalizes the Q of Fisher-Escolà distribution, the first statistical model to integrate quantum and classical...
Computational and Structural Biotechnology Journal
2025
Michael C Wiest, Arjan Singh Puniani
Active inference is a general framework for optimizing the behavior and learning of a sentient agential system. It may be interpreted as a general theory of sentient behavior and has been used to quantitatively model a wide variety of perceptual and behavioral contexts. Moreover, variables in neural process models of active inference appear to be represented by specific pathways in the brain,...
Computational and Structural Biotechnology Journal
2025
Michael C Wiest, Arjan Singh Puniani
In the first of two companion papers, we argued that classical neural mechanisms proposed to implement conscious active inference had failed to establish their biological plausibility in terms of realistic biophysical models. We further explained that conscious (temporally deep) active inference is mathematically equivalent to the path integral that underlies quantum dynamics. As such, we...