A computer vision based candidate for functional balance test. - Alican Nalci; Alireza Khodamoradi; Ozgur Balkan; Fatta Nahab; Harinath Garudadri (EMBC, 2015)

Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. - Alican Nalci; Igor Fedorov; Bhaskar D. Rao (CoRR, 2016)

The global signal in fMRI: Nuisance or Information? - Thomas T. Liu; Alican Nalci; Maryam Falahpour (NeuroImage, 2017)

Global signal regression acts as a temporal downweighting process in resting-state fMRI. - Alican Nalci; Bhaskar D. Rao; Thomas T. Liu (NeuroImage, 2017)

The Effects of Global Signal Regression on Estimates of Resting-State Blood Oxygen-Level-Dependent Functional Magnetic Resonance Imaging and Electroencephalogram Vigilance Correlations. - Maryam Falahpour; Alican Nalci; Thomas T. Liu (Brain Connect., 2018)

A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem. - Igor Fedorov; Alican Nalci; Ritwik Giri; Bhaskar D. Rao; Truong Q. Nguyen; Harinath Garudadri (Signal Process., 2018)

Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. - Alican Nalci; Igor Fedorov; Maher Al-Shoukairi; Thomas T. Liu; Bhaskar D. Rao (IEEE Trans. Signal Process., 2018)

Nuisance effects in inter-scan functional connectivity estimates before and after nuisance regression. - Alican Nalci; Wenjing Luo; Thomas T. Liu (NeuroImage, 2019)

Nuisance effects and the limitations of nuisance regression in dynamic functional connectivity fMRI. - Alican Nalci; Bhaskar D. Rao; Thomas T. Liu (NeuroImage, 2019)