Alican Nalci

According to our database, Alican Nalci authored at least 9 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Nuisance effects and the limitations of nuisance regression in dynamic functional connectivity fMRI.

Alican Nalci, Bhaskar D. Rao, Thomas T. Liu

NeuroImage, 2019

Nuisance effects in inter-scan functional connectivity estimates before and after nuisance regression.

Alican Nalci, Wenjing Luo, Thomas T. Liu

NeuroImage, 2019

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

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

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

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 global signal in fMRI: Nuisance or Information?

Thomas T. Liu, Alican Nalci, Maryam Falahpour

NeuroImage, 2017

2016

Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem.

Alican Nalci, Igor Fedorov, Bhaskar D. Rao

CoRR, 2016

2015

A computer vision based candidate for functional balance test.

Alican Nalci, Alireza Khodamoradi, Ozgur Balkan, Fatta Nahab, Harinath Garudadri

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015