CNEL Alumnus: Mustafa Can Ozturk

Former student webpage:
About Me

I have graduated from Middle East Technical University of Turkey in 2002. I am currently a CNEL member and a Phd candidate under the supervision of Dr. Principe.
My Research Interests

I am interested in dynamical computational models. In particular, I have been working on the theory of the echo state networks(ESN). My goals in ESN research are to advance the understanding of principles of computation in ESNs and to improve the design of ESN dynamical reservoir. I am also interested in understanding the transiently stable computation and the role of instability for information processing. I have studied the Freeman model (a biologically plausible model for the olfactory cortex) in the framework of ESNs.
Research Goals

1) Understanding the principles of computation in Echo State Networks (ESN).

2) Improving the design of recurrent networks in the ESN framework.

3) Understanding the principles of transiently stable computation and in general the role of instability in information processing.

4) Understanding the Freeman model in the framework of ESNs.

5) Come up with a condition for LSMs similar to the echo state condition


CNEL Papers
1MUSTAFA CAN OZTURK,"Dynamical Computation with Echo State Networks", May 2007, University of Florida.(author PDF)
Journal Papers
1M. Ozturk, D. Xu, J. Principe, "Analysis and Design of Echo State Networks", Neural Computation, Vol. 19, No. 1, pp. 111-138, Jan. 2007 (author PDF)
Conference Papers
1Mustafa C. Ozturk, Jose C. Principe, Bryan Davis, Deniz Erdogmus, "Simulation of the Freeman Model of the Olfactory Cortex:A Quantitative Performance Analysis for the DSP Approach," Intl. Joint Conf. on Neural Networks.(Accepted) (author PDF)
2Aysegul Gunduz, Mustafa C. Ozturk, Justin C. Sanchez, and Jose C. Principe, "Echo State Networks for Motor Control of Human ECoG Neuroprosthetics", Neural Engineering Informatics, pp. 514-517, Apr. 2007 (author PDF)
3M. Ozturk, D. Xu, J. Principe, "Computing with Transietnly Stable States", Intl. Joint Conf. on Neural Networks, pp. 1467-1472, July 2005 (author PDF)

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