A5078800492- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Blind Source Separation Techniques
- Advanced MRI Techniques and Applications
- Neural Networks and Applications
- Image and Signal Denoising Methods
- Visual perception and processing mechanisms
- Sparse and Compressive Sensing Techniques
- Cardiovascular and Diving-Related Complications
- Optical Imaging and Spectroscopy Techniques
- Non-Invasive Vital Sign Monitoring
- Photoacoustic and Ultrasonic Imaging
- Neural and Behavioral Psychology Studies
- Chaos control and synchronization
- Electrical and Bioimpedance Tomography
- Color perception and design
- Multisensory perception and integration
- Complex Systems and Time Series Analysis
- Cerebrovascular and Carotid Artery Diseases
- Cultural and Sociopolitical Studies
- Brain Tumor Detection and Classification
- Medical Image Segmentation Techniques
- Speech and Audio Processing
- Neuroscience and Neural Engineering
Boğaziçi University
2011-2024
Istanbul University
2003-2023
Istanbul Şehir University
2016
Kandilli Observatory and Earthquake Research Institute
2011-2012
Scientific and Technological Research Council of Turkey
1997
The University of Texas Health Science Center at Houston
1996
A time–frequency decomposition was applied to rare target and frequent non-target event-related potentials (ERPs) elicited in an oddball condition assess whether multiple functional components occur the P300 latency range. The wavelet transform (WT) used because it allows capture of simultaneous or partly overlapping ERPs without loosing their temporal relationships. application a four-octave quadratic B-spline at level single-sweep data allowed us obtain new information revealed presence...
3D printing is an effective method to prepare scaffolds for tissue engineering applications. However, optimization of conditions obtain suitable mechanical properties various applications costly and time consuming. To address this problem, in study, scikit-learn Python machine learning library was used apply four learning-based approaches which are ordinary least squares (OLS) linear regression, random forest (RF), light gradient Boost (LGBM), extreme boosting (XGB) artificial neural network...
Consecutive and overlapping time-frequency (TF) components of auditory event-related brain potentials (ERPs) were analyzed to examine whether multiple co-existing may account for the complex functional reactivity P300. Auditory ERPs 14 adult subjects decomposed by means wavelet transform (WT), TF within P300 tested in a systematic manner effects major determinants: stimulus probability, active discrimination, mental count task. The results demonstrated that several partly or fully...
The pattern-reversal visual evoked potentials (PRVEPs) collected from normal and demented subjects are investigated by applying the quadratic spline wavelet analysis. data decomposed into six octave frequency bands. For quantitative purposes, coefficients in residual waveform representing delta-theta band activity (0-8 Hz) explored to characterize (N70-P100-N130) complex. Specifically, corresponding location of N70, P100, N130 peaks for their sign order test whether they represent a...
The stability of the steady-state visual evoked potentials (SSVEPs) across trials and subjects makes them a suitable tool for investigation system. reproducible pattern frequency characteristics SSVEPs shows global amplitude maximum around 10 Hz additional local maxima 20 40 Hz, which have been argued to represent resonant behavior damped neuronal oscillators. Simultaneous electroencephalogram/functional magnetic resonance imaging (EEG/fMRI) measurement allows testing hypothesis about...
Event related brain potential (ERP) waveforms consist of several components extending in time, frequency and topographical space. Therefore, an efficient processing data which involves the space features signal, may facilitate understanding plausible connections among functions, anatomical structures neurophysiological mechanisms brain. Wavelet transform (WT) is a powerful signal tool for extracting ERP occurring at different time spots. A technical explanation WT its four distinct...
Neuroimaging is an essential tool for the diagnosis of cognitive brain disorders along with EEG measurements. and fMRI are two crucial modalities which reflect functional activity inside brain. easy to apply provides high temporal resolution but has poor spatial resolution. Contrarily, a higher while having In this study, multi modal data sets obtained from Event Related measurements analyzed using SPM LORETA based dipole source reconstruction techniques, respectively. It been demonstrated...