Akademik Veri Yönetim Sistemi
1 ST INTERNATIONAL CONFERENCE ON INNOVATIVE ACADEMIC STUDIES, Konya, Türkiye, 10 - 13 Eylül 2022, ss.115
The main function of neurons in a living
creature is to transmit information. Neurons carry out information transmission
without loss despite environmental and internal noise sources. However,
sometimes there may be losses in the transmission of information. This results
in diseases such as Alzheimer's, MS, and Epilepsy. In this study, the
information lost in neurons is recalculated with the Quadratic Spline
Interpolation method. In cases where it is difficult or impossible to calculate
a function, the process of calculating the corresponding value of an unmeasured
variable is called interpolation. In this study, first of all, three sample
neuron behaviours are created with the Fitzhugh-Nagumo model, and the action
potential and recovery parameter variables are obtained. Then, some data in the
variables are deleted, resulting in unhealthy neuron behaviour. Then, these
deleted data are recalculated using the Quadratic Spline Interpolation method.
Various error values are obtained by comparing the actual and calculated data.
The data lost in the action potential-recovery variable are detected with a
very low error rate of 0.2630-0.0524%, 0.2885-0.0165% and 0.2543-0.0781% for
the three sample neuron behaviours, respectively. With this study, it has been
demonstrated that information lost or incorrectly coded in neurons for any
reason can be corrected. It is also understood that this study can be used to
prevent losses in real-time measurement results from biological neurons and to
recalculate erroneous values.