2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Fitting a recurrent dynamical neural network to neural spiking data: Tackling with the sigmoidal gain function issues
Resat Ozgur Doruk
This is a continuation of a recent study on the modeling of the information coding in sensory system in the brain. The data from a sensory neurons are available as discrete spike t…
Fitting of dynamic recurrent neural network models to sensory stimulus-response data
R. Ozgur Doruk, Kechen Zhang
We present a theoretical study aiming at model fitting for sensory neurons. Conventional neural network training approaches are not applicable to this problem due to lack of contin…
Adaptive stimulus design for dynamic recurrent neural network models
R. Ozgur Doruk, Kechen Zhang
We present a theoretical application of an optimal experiment design (OED) methodology to the development of mathematical models to describe the stimulus-response relationship of s…
Control of the repetitive firing in the squid giant axon using electrical fields
Resat Ozgur Doruk
In this research, the aim is to develop a repetitive firing stopper mechanism using electrical fields exerted on the fiber. The Hodgkin - Huxley nerve fiber model is used for model…