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On Λ-Fractional Derivative and Human Neural Network

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Fractional derivatives can express anomalous diffusion in brain tissue. Various brain diseases such as Alzheimer’s disease, multiple sclerosis, and Parkinson’s disease are attributed to the accumulation of proteins in axons. Discrete swellings along the axons cause other neuro diseases. To model the propagation of voltage in axons with all those causes, a fractional cable geometry has been adopted. Although a fractional cable model has already been presented, the non-existence of fractional differential geometry based on the well-known fractional derivatives raises questions. These minute parts of the human neural system are modeled as cables that function with a non-uniform cross-section in the fractional realm based upon the Λ-fractional derivative (Λ-FD). That derivative is considered the unique fractional derivative generating differential geometry. Examples are presented so that fruitful conclusions can be made. The present work is going to help medical and bioengineering scientists in controlling various brain diseases.
Title: On Λ-Fractional Derivative and Human Neural Network
Description:
Fractional derivatives can express anomalous diffusion in brain tissue.
Various brain diseases such as Alzheimer’s disease, multiple sclerosis, and Parkinson’s disease are attributed to the accumulation of proteins in axons.
Discrete swellings along the axons cause other neuro diseases.
To model the propagation of voltage in axons with all those causes, a fractional cable geometry has been adopted.
Although a fractional cable model has already been presented, the non-existence of fractional differential geometry based on the well-known fractional derivatives raises questions.
These minute parts of the human neural system are modeled as cables that function with a non-uniform cross-section in the fractional realm based upon the Λ-fractional derivative (Λ-FD).
That derivative is considered the unique fractional derivative generating differential geometry.
Examples are presented so that fruitful conclusions can be made.
The present work is going to help medical and bioengineering scientists in controlling various brain diseases.

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