Akademik Veri Yönetim Sistemi
Bursa 4th International Conference on Mathematics and Engineering, Bursa, Türkiye, 24 - 26 Ocak 2025, ss.183-196, (Tam Metin Bildiri)
In recent years, very important biological and simulation studies have been carried out to understand the behavior of the brain. In order to understand the behavior of the complex nerve cell network that constitutes an important part of the brain, it is necessary to first understand the behavior of nerve cells. In particular, the structure, behavior, connections and network structures of nerve cells are studied. Mathematical models that can imitate the behavior of nerve cells that form the basis of the studies have been put forward. FitzHugh-Nagumo Neuron Model, Izhikevich Neuron Model, Adaptive Exponential Integrate and Fire (AEIF) Model, Hodgkin-Huxley Neuron Model are a few of them. Nerve cell models for simulation are created with software codes (Matlab etc.). In biological experiments, signal inputs made to the cell are also made on the models via software. Model parameters are improved so that the results obtained from the models approximate the biological results. Can the model replace the cell? A similarity of this size has not been fully established. Having the software in a portable chip instead of a computer will allow working close to the living body when necessary. In some studies, nerve cell models have been created on different microcontrollers and embedded system microcontrollers.