Cengiz Gunay's page at the Prinz Lab

Cengiz Günay (Gunay) <cgunay AT emory.edu>
1510 Cliton Rd, Dept Biology, Atlanta, GA 30322
ResearcherID: A-5420-2011, Google Scholar
DBLP, ORCID ID: 0000-0001-7586-571X

Research Interests

As can be seen from my previous postdoc at the Jaeger Lab, I am interested in the production and analysis of large electrophysiology simulation and recording data sets (Gunay et al., 2008, 2009). In the Prinz Lab, I am involved in several projects:

Drosophila motoneuron model to study Na channel splice variants
Together with postdoctoral fellow Fred Sieling and undergraduate student Logesh Dharmar, we are building a conductance model of the Drosophila motoneurons. This involves collecting voltage clamp experimental data from outside researchers and fitting and tuning model parameters. The goal of this is to use the model to test the functional effect of the different Na channel splice variants found in embryonic and adult Drosophila (Lin, Gunay et al, 2012).
Calcium sensors for activity-dependent homeostatic regulation (ADHR)
The pyloric network in lobster stomatogastric ganglion is remarkable in its capacity to tolerate changes in the environment while keeping its triphasic rhythm intact. The ADHR mechanisms thought to maintain this rhythm need to first sense the network activity levels. For this sensing mechanism, calcium influx has been a highly likely candidate. Therefore, we search for calcium sensors by studying the parameter space of single and multiple sensors across 20 million pyloric network models and constructed a database to analyze their properties (Gunay et al, 2010).

Publications

Here are some selected publications, please see my CV below for a longer list.

Cengiz Günay, Fred Sieling, Logesh Dharmar, Wei-Hsiang Lin, Verena Wolfram, Richard Marley, Richard A. Baines, and Astrid A. Prinz (2015). "Estimation of spike initiation zone and synaptic input parameters of an identified larval Drosophila motoneuron using a morphologically reconstructedor electrical model."
PLOS Comp Bio DOI: 10.1371/journal.pcbi.1004189 (Download model).
Hyo Yul Byun, James J. Lu, Helen S. Mayberg, Cengiz Günay (2014). “Classification of Resting State fMRI Datasets Using Dynamic Network Clusters” Workshop on Modern Artificial Intelligence for Health Analytics. Paper Presented at the Twenty-Eighth AAAI Conference on Artificial Intelligence. Technical Report WS-14-08, pp. 2–6. AAAI Press, Palo Alto, CA. (PDF)
Wei-Hsiang Lin, Cengiz Günay, Richard Marley, Astrid A. Prinz, and Richard A. Baines (2012). “Activity-Dependent Alternative Splicing Increases Persistent Sodium Current and Promotes Seizure.” J Neurosci 32(21): 7267-7277; DOI: 10.1523/JNEUROSCI.6042-11.2012

Joachim Diederich, Cengiz Günay, Jim Hogan (2010). Recruitment Learning. Studies in Computational Intelligence Series, Springer. Oct, 2010.
Cengiz Günay, Astrid A. Prinz (2010). “Model calcium sensors for network homeostasis: Sensor and readout parameter analysis from a database of model neuronal networks.” J Neurosci 30(5): 1686-1698; DOI: 10.1523/JNEUROSCI.3098-09.2010

Cengiz Günay, JR Edgerton, S Li, T Sangrey, AA Prinz and D Jaeger (2009). “Database Analysis of Simulated and Recorded Electrophysiological Datasets with PANDORA’s Toolbox.” Neuroinformatics, 7(2): 93-111. DOI: 10.1007/s12021-009-9048-z (public access at the PubMed Central).

Cengiz Günay, Jeremy R. Edgerton, and Dieter Jaeger (2008). “Channel density distributions explain dynamical variability between neurons: using a combined physiology and computer simulation database approach.” J Neurosci. 28: 7476-7491; DOI: 10.1523/jneurosci.4198-07.2008

Software

PANDORA neural data and database analysis Matlab toolbox (also see it in the INCS Software Center). It was explained in these two papers and their supplementary materials.
GenCompress neural data lossless compression utility.
My other Matlab utilities.
Pyloric network simulator with calcium sensors.

Teaching

I have been teaching at the the Math & Computer Science Department of Emory University:

Spring 2015:

CS 370 Software and Startup Engineering Practicum - undergraduate level.

Fall 2014:

CS 485/540 Software Engineering - undergraduate/graduate level.

Spring 2014:

CS 370 Software Engineering Practicum - undergraduate level.

Fall 2013:

CS 570 Data Mining - graduate level.
CS 485/540 Software Engineering - for undergraduate seniors and graduate students.

Spring 2013:

CS325 Artificial Intelligence - for undergraduate juniors.

Fall 2012:

CS 485/540 on Software Engineering - for undergraduate seniors and graduate students.

Curriculum Vitae

Here is a recent copy of my curriculum vitae.