Summary
the 2014 International Symposium on Nonlinear Theory and its Applications
2014
Session Number:C3L-C
Session:
Number:C3L-C1
Examining the Effects of Noise Contamination during Epilepsy using Low Complexity Coupled Rulkov Maps and Spike Timing Dependent Plasticity
Naohiro Shibuya, Charles Unsworth, Yoko Uwate, Yoshifumi Nishio,
pp.590-593
Publication Date:2014/9/14
Online ISSN:2188-5079
Summary:
Epilepsy is a neurological disorder provoked from an imbalance between long-term potentiation (LTP) and long-term depression (LTD) of the synapses. This results in an abnormal synchrony of the neurons in the brain, visible in the electroencephalogram (EEG). In certain types of epilepsy such as tonic-clonic (grand mal) seizures synaptic disturbance occurs. In this work, we explore the effect of how noise contamination in a coupled lattice of neurons alters the synchrony in such circuits. We build a low complexity model using Rulkov maps to model the spiking activity and Spike Timing Dependent Plasticity (STDP) to model the LTP and LTD. From the simulation results, we observed that the chaotic noise STDP model has resistance characteristic of diverging of membrane potential.