The speed gradient-based control algorithm for
tracking the membrane potential of Hodgkin-Huxley neurons is applied to their
small clusters modeling the basic features of an epileptiform dynamics. One of
the neurons plays a role of control element detecting the temporal
hyper-synchronization among its network companions and switching their bursting
behavior to resting. The ‘toy’ model proposed in the paper can serve as an
algorithmic basement for developing special control elements at the scale of
one or few cells that may work autonomously and are able to detect and suppress
epileptic behavior in the networks of real biological neurons.
Neuroinformatics Hodgkin-Huxley neuron speed gradient feedback collective bursting control epileptiform dynamics
Birincil Dil | İngilizce |
---|---|
Bölüm | Review Articles |
Yazarlar | |
Yayımlanma Tarihi | 31 Temmuz 2018 |
Gönderilme Tarihi | 10 Kasım 2017 |
Kabul Tarihi | 27 Ocak 2018 |
Yayımlandığı Sayı | Yıl 2018 Cilt: 60 Sayı: 1 |
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.