Online ISSN 2653-4983
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Is Alzheimer’s Disease a Manifestation of Brain Quantum Decoherence Resulting from
Mitochondrial and Microtubular Deterioration?
T.W. Nichols1, M.H. Berman1 and J.A. Tuszynski 2,3
1 Quietmind Foundation, Philadelphia, PA, USA
2 Department of Physics, University of Alberta, Edmonton, AB, Canada
3 DIMEAS, Politecnico di Torino, Turin, Italy
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The etiology of Alzheimer's dementia is, at best multifactorial. Before the emergence of cognitive impairment, symptoms such as thinning of the cortex, accumulation of β-amyloid, and decreased hippocampal volume are common. Hence, the accumulation of β-amyloid and hyperphosphorylated tau fibrillary tangles are two pathological hallmarks in Alzheimer's disease brains, but antibody therapy aimed to decrease β-amyloid has been a failure and, in most optimistic opinions, may delay somewhat disease progression. However, 31-38 % of subjects develop cerebral micro-hemorrhages in aducanumab therapy, an antibody to the amyloid beta plaque by Biogen. Genetics such as Apo E3/E3 have demonstrated defects in the blood-brain barrier in early-onset dementia...more
BRIEF REPORT
Intentionality for better communication in minimally conscious AI design
R.R. Poznanski, L.A. Cacha, V. Sbitnev, N. Iannella, S. Parida, R. Van Schalkwyk, A. Bandyopadhyay & E.J. Brändas
We consider the nature of consciousness to be intentionality and treat the process as multiscalar and self-referential. The capabilities exhibiting purposeful, directed actions based on the act of understanding uncertainty is the main qualifier of understanding. Developing model emulations and exploring fundamental mechanisms of how machines understand meaning is central to the development of minimally conscious AI. It has been shown by Alemdar and colleagues [New insights into holonomic brain theory: implications for active consciousness. Journal of Multiscale Neuroscience 2 (2023), 159-168] that a framework for advancing artificial systems through understanding uncertainty derived from negentropic action to create intentional systems entails quantum-thermal fluctuations through informational channels instead of recognizing (cf., introspection) sensory cues through perceptual channels. The model is a blueprint when better communication arises from dipole-like proton interactions, as evolving boundary conditions are an information motif of energy flow. A schema for machine understanding through memristors implemented in a protonic ’wetwire’ filament model is a future work in progress. It does not describe the engineering aspect, which must be conceptualized before minimally conscious AI becomes operational.