Brain Function Analysis via Frequency Oscillations
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Solution Overview
Problem
Current methods fail to analyze brain function in a mathematically uniform manner, lacking a comprehensive understanding of the interdependent processes that comprise conscious thought, which is essential for developing effective models of cognition and treating brain disorders.
Innovation Solution
The development of devices, methods, and systems that analyze brain function through neuronal activity, molecular chirality, and frequency oscillations using a computer-implemented method, including the determination of neuron network structures and axiological structures based on signals from read modalities, employing a Maximum Entropy model and the Fundamental Code Unit (FCU) theory to unify cognitive and neural phenomena.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If quantum and electromagnetic explanations are used to model consciousness, then the model can capture the complexity of cognitive processes, but the model becomes too abstract and disconnected from measurable physical processes
Solution Approach 1:
The patent introduces frequency oscillations as an intermediary that bridges the gap between abstract quantum/electromagnetic processes and measurable physical phenomena. The oscillation frequency serves as a quantifiable mediator that connects the complex cognitive processes to observable brain function data, enabling both comprehensive modeling and precise measurement.
2Adaptability or versatility
If multiple interdependent levels of analysis are incorporated to understand cognition, then the model becomes more comprehensive, but the device complexity increases
Solution Approach 1:
The patent merges multiple levels of analysis (quantum processes, electromagnetic fields, frequency oscillations, and neuronal activity) into a single integrated system. Rather than treating these as separate components, the invention combines them into a unified framework where frequency oscillations serve as the common thread connecting all levels, thereby reducing overall system complexity.
3Reliability
If philosophical models such as mind-brain duality are used to frame cognition, then the conceptual framework becomes more robust, but the practical application and quantification become more difficult
Solution Approach 1:
The patent transforms the abstract philosophical concept of mind-brain duality into measurable parameters by introducing frequency oscillations as a quantifiable variable. This parameter change allows the conceptual framework to be expressed in terms of measurable physical quantities, bridging philosophy and empirical measurement.
4Measurement precision
If frequency oscillations are used to analyze brain function, then the analysis becomes more quantitative and measurable, but the ability to capture complex cognitive processes may be reduced
Solution Approach 1:
The patent establishes frequency oscillations as a universal framework that can simultaneously capture multiple aspects of cognitive processes. The oscillation model serves multiple functions: it quantifies brain activity, represents information processing, and models cognitive states, thereby maintaining both measurement precision and comprehensive cognitive process coverage through a single multi-functional parameter.
Data Source
AI summary
In embodiments, devices, methods and systems to analyze the different mediums of brain function in a mathematically uniform manner may be provided. These devices, methods and systems may manifest at several levels and ways relating to brain physiology, including neuronal activity, molecular chirality and frequency oscillations. For example, in an embodiment, a computer-implemented method for determining structure of living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing at least one physical condition of the living neural tissue, determining action potentials based on the signals received from the read modalities, determining frequency oscillations based on the signals received from the read modalities and the action potentials, and determining neuron network structures based on the signals received from the read modalities, the action potentials, and the frequency oscillations.