Laboratuvardan Haberler
CNS Computational Neuroscience Lab

Yayınlar

Laboratuvar üyelerimizce yayımlanan çalışmalar.

EEG çalışmaları

2026

  1. Investigation of the Effect of Product Mascot Gender on Consumer Emotions Using EEG Signals

    Berkay Ilber Tunakan, Aydın Akan, Nursun Ustunkarli, Riza Sadikzade

    Medical Technologies Congress (TIPTEKNO)

  2. Deep Model Families for EEG-Based Multi-Class Dementia Classification

    Soner Kotan, Aydın Akan

    International Journal of Neural Systems · DOI

  3. Analysis of Human Emotions for Different Taste Stimuli Using EEG Signals

    Berkay Ilber Tunakan, Aydın Akan, Yaren Taskin, Kamile Nazan Turhan

    International Conference on Control, Decision and Information Technologies (CoDIT) · DOI

  4. Investigating the Effect of Sustainable Product Packaging on Consumer Behavior Using EEG Signals

    Eray Ozcan Kilic, Burak Akbugday, Aydın Akan, Riza Sadikzade

    International Conference on Control, Decision and Information Technologies (CoDIT) · DOI

2025

  1. Analysis of Dementia EEG Signals Using Empirical Mode Decomposition Variants and Deep Learning

    Yahya Oguzhan Senol, Aydın Akan, Ozlem Karabiber Cura

    Medical Technologies Congress (TIPTEKNO) · DOI

  2. Classification of Emotions Under Multiple Olfactory Stimuli Using EEG Signals and Machine Learning

    Ozge Ada Bozbas, Burak Akbugday, Aydın Akan, Sude Pehlivan Akbugday

    Medical Technologies Congress (TIPTEKNO) · DOI

  3. Olfactory Emotion Recognition Using EEG Spectral Topographic Heatmaps and CNNs

    Faezeh Yeganli, Aydın Akan, Riza Sadikzade

    Medical Technologies Congress (TIPTEKNO) · DOI

  4. Detection of Alzheimer’s Disease by Using Time-Frequency Representations of EEG Signals with Deep Learning

    Meral Aslan Dil, Ozlem Karabiber Cura, Aydın Akan, Firat Kacar

    International Conference on Control, Decision and Information Technologies (CoDIT) · DOI

  5. Liking State Estimation Using Time-Frequency Image Representation of EEG Signals

    Burak Ceylan, Yalçın Çekiç, Aydın Akan

    Signal Processing and Communications Applications Conference (SIU) · DOI

2024

  1. Decoding Olfactory EEG Signals Using Multi-Domain Features and Machine Learning

    Sude Pehlivan Akbugday, Burak Akbugday, Faezeh Yeganli, Aydın Akan, Riza Sadikzade

    Medical Technologies Congress (TIPTEKNO) · DOI

  2. Investigating the Effect of Noise Levels on Mental Tasks Using Artificial Intelligence

    Emre Sipahioglu, Burak Akbugday, Sude Pehlivan Akbugday, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  3. Alzheimer's Dementia Detection: An Optimized Approach Using ITD of EEG Signals

    Sena Yagmur Sen, Aydın Akan, Ozlem Karabiber Cura

    European Signal Processing Conference (EUSIPCO) · DOI

  4. Detection of Alzheimer's Dementia by Using EEG Feature Maps and Deep Learning

    Sude Pehlivan Akbugday, Ozlem Karabiber Cura, Burak Akbugday, Aydın Akan

    European Signal Processing Conference (EUSIPCO) · DOI

  5. Classification of Alzheimer’s dementia EEG signals using deep learning

    Sena Yagmur Sen, Ozlem Karabiber Cura, Gulce Cosku Yilmaz, Aydın Akan

    Transactions of the Institute of Measurement and Control · DOI

  6. Detection of Attention Deficit Hyperactivity Disorder based on EEG feature maps and deep learning

    Ozlem Karabiber Cura, Aydın Akan, Sibel Kocaaslan Atli

    Journal of Applied Biomedicine · DOI

  7. Consumer Preference Estimation Using EEG Signals and Deep Learning

    Burak Ceylan, Yalçın Çekiç, Aydın Akan

    Signal Processing and Communications Applications Conference (SIU) · DOI

  8. Emotional Stimulus Classification from Brain Electrical Activity using Multivariate Empirical Mode Decomposition

    Merve Dogruyol Basar, Adil Deniz Duru, Aydın Akan

    Signal Processing and Communications Applications Conference (SIU) · DOI

  9. Detection of Olfactory Stimulus in Electroencephalogram Signals Using Machine and Deep Learning Methods

    Burak Akbugday, Sude Pehlivan Akbugday, Riza Sadikzade, Aydın Akan, Sevtap Unal

    Istanbul University - Journal of Electrical & Electronics Engineering · DOI

2023

  1. Detection of Alzheimer’s Dementia by Using Deep Time–Frequency Feature Extraction

    Ozlem Karabiber Cura, H Sabiha Ture, Aydın Akan

    Istanbul University - Journal of Electrical & Electronics Engineering · DOI

  2. Detection of Attention Deficit Hyperactivity Disorder using Decision-level Fusion of Brain Connectivity Information Based on Deep Learning

    Ozlem Karabiber Cura, Fatma Gunseli Ciklacandir, Aydın Akan, Sibel Kocaaslan Atli

    Medical Technologies Congress (TIPTEKNO) · DOI

  3. Detection of the Effects of Environmental Condition on Attention/Memory Using EEG Signals

    Alper Arinc, Burak Akbugday, Sude Pehlivan Akbugday, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  4. Classification of Dementia EEG Signals by Using Time-Frequency Images for Deep Learning

    Sena Yagmur Sen, Ozlem Karabiber Cura, Aydın Akan

    Innovations in Intelligent Systems and Applications Conference (ASYU) · DOI

  5. Classification of ADHD by Using Multiple Feature Maps of EEG Signals and Deep Feature Extraction

    Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Sena Yagmur Sen, Aydın Akan

    European Signal Processing Conference (EUSIPCO) · DOI

  6. Combinations of EEG Topographic Feature Maps for the Classification of ADHD

    Sude Pehlivan, Onur Akdemir, Ozlem Karabiber Cura, Burak Akbuğday, Aydın Akan

    European Signal Processing Conference (EUSIPCO) · DOI

  7. Detection of Attention Deficit Hyperactivity Disorder by Using EEG Feature Maps and Deep Learning

    Burak Akbugday, Ozge Ada Bozbas, Ozlem Karabiber Cura, Sude Pehlivan, Aydın Akan

    European Signal Processing Conference (EUSIPCO) · DOI

  8. Detection of Alzheimer's Dementia Using Intrinsic Time Scale Decomposition of EEG Signals and Deep Learning

    Sena Yagmur Sen, Ozlem Karabiber Cura, Aydın Akan

    International Conference on Control, Decision and Information Technologies (CoDIT) · DOI

  9. Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time–Frequency Features of EEG Data

    Ozlem Karabiber Cura, Aydın Akan, Hatice Sabiha Ture

    International Journal of Neural Systems · DOI

2022

  1. Attention deficit hyperactivity disorder recognition based on intrinsic time-scale decomposition of EEG signals

    Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Aydın Akan

    Biomedical Signal Processing and Control · DOI

  2. An Assessment of Linear and Nonlinear Features for Detecting Olfactory Stimulus in EEG

    Burak Akbugday, Aydın Akan, Sude Pehlivan, Reza Sadighzadeh

    Medical Technologies Congress (TIPTEKNO) · DOI

  3. Deep Time-Frequency Feature Extraction for Alzheimer's Dementia EEG Classification

    Ozlem Karabiber Cura, Gulce C. Yilmaz, H. Sabiha Ture, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  4. Detection of Attention Deficit Hyperactivity Disorder Using EEG Signals and Douglas—Peucker Algorithm

    Ozlem Karabiber Cura, Gamze N. Aydin, Sibel Celen, Sibel Kocaaslan Atli, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  5. Detection of Alzheimer’s Dementia by Using Signal Decomposition and Machine Learning Methods

    Ozlem Karabiber Cura, Aydın Akan, Gulce Cosku Yilmaz, Hatice Sabiha Ture

    International Journal of Neural Systems · DOI

  6. Classification of Dementia EEG Based on Sub-bands Using Time-Frequency Approaches

    Ozlem Karabiber Cura, Gulce Cosku Yilmaz, Hatice Sabiha Ture, Aydın Akan

    Signal Processing and Communications Applications Conference (SIU) · DOI

  7. Detection of Olfactory Stimulus from EEG Signals for Neuromarketing Applications

    Sude Pehlivan, Burak Akbugday, Aydın Akan, Reza Sadighzadeh

    Signal Processing and Communications Applications Conference (SIU) · DOI

  8. Liking Status Estimation Using EEG Signals and Mode Decomposition Method

    Burak Ceylan, Serkan Tuzun, Aydın Akan

    Signal Processing and Communications Applications Conference (SIU) · DOI

2021

  1. Classification of Alzheimers’ Dementia by Using Various Signal Decomposition Methods

    Ozlem Karabiber Cura, Gulce Cosku Yilmaz, Hatice Sabiha Ture, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  2. Prediction of Sleep Apnea Using EEG Signals and Machine Learning Algorithms

    Aysu Onargan, Busra Gavcar, Gulizar Caliskan, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  3. Synchronization Analysis In Epileptic EEG Signals Via State Transfer Networks Based On Visibility Graph Technique

    Ali Olamat, Pinar Ozel, Aydın Akan

    International Journal of Neural Systems · DOI

  4. A Diagnostic Strategy Via Multiresolution Synchrosqueezing Transform on Obsessive Compulsive Disorder

    Pinar Ozel, Ali Olamat, Aydın Akan

    Internatıonal Journal of Neural Systems · DOI

  5. Classification of Psychogenic Non-epileptic Seizures Using Synchrosqueezing Transform of EEG Signals

    Ozlem Karabiber Cura, Gulce Cosku Yilmaz, Hatice Sabiha Ture, Aydın Akan

    European Signal Processing Conference (EUSIPCO) · DOI

  6. Time–frequency signal processing: Today and future

    Aydın Akan, Ozlem Karabiber Cura

    Digital Signal Processing · DOI

  7. An EEG and Machine Learning based Method for the Detection of Major Depressive Disorder

    Elif Izci, Mehmet Akif Ozdemir, Aydın Akan, Mehmet Akif Ozcoban, Mehmet Kemal Arikan

    Signal Processing and Communications Applications Conference (SIU) · DOI

  8. Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning

    Mehmet Akif Ozdemir, Ozlem Karabiber Cura, Aydın Akan

    International Journal of Neural Systems · DOI

  9. Channel Contributions of EEG in Emotion Modelling Based on Multivariate Adaptive Orthogonal Signal Decomposition

    Pinar Ozel, Aydın Akan

    IETE Journal of Research · DOI

2020

  1. Detection of Consumer Preferences Using EEG Signals

    Burak Ceylan, Serkan Tüzün, Aydın Akan

    International Journal of Applied Mathematics Electronics and Computers · DOI

  2. A Dynamic Mode Decomposition Based Approach for Epileptic EEG Classification

    Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Sude Pehlivan, Aydın Akan

    European Signal Processing Conference (EUSIPCO) · DOI

  3. Epileptic EEG Classification Using Synchrosqueezing Transform with Machine and Deep Learning Techniques

    Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Aydın Akan

    European Signal Processing Conference (EUSIPCO) · DOI

  4. Analysis of epileptic EEG signals by using dynamic mode decomposition and spectrum

    Ozlem Karabiber Cura, Aydın Akan

    Journal of Applied Biomedicine · DOI

  5. Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning

    Ozlem Karabiber Cura, Aydın Akan

    International Journal of Neural Systems · DOI

  6. EEG based Epileptic Seizures Detection using Intrinsic Time-Scale Decomposition

    Murside DEGIRMENCI, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  7. Epileptic EEG Classification Using Synchrosqueezing Transform and Machine Learning

    Ozlem Karabiber Cura, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  8. Individual-based Estimation of Valence with EEG

    Bora Cebeci, Aydın Akan, Tamer Demiralp, Miray Erbey

    Medical Technologies Congress (TIPTEKNO) · DOI

  9. Epileptic EEG Classification by Using Advanced Signal Decomposition Methods

    Ozlem Karabiber Cura, Aydın Akan

    IntechOpen eBooks · DOI

  10. An EEG Based Liking Status Detection Method for Neuromarketing Applications

    Burak Ceylan, Serkan Tüzün, Aydın Akan

    Signal Processing and Communications Applications Conference (SIU) · DOI

  11. Classification of Epileptic EEG Signals Using Dynamic Mode Decomposition

    Özlem Karabiber Cura, Sude Pehlivan, Aydın Akan

    Signal Processing and Communications Applications Conference (SIU) · DOI

  12. EEG Based Mental Workload Estimation System

    Bora Cebecí, Aydın Akan, Bernis Sütçübaşi, Tamer Demıralp

    Signal Processing and Communications Applications Conference (SIU) · DOI

  13. Estimation of Emotion Status Using IAPS Image Data Set

    Bartu Yesilkaya, Onan Guren, Mehmet Tugay Bahar, Leyla Nur Turhal, Aydın Akan

    Signal Processing and Communications Applications Conference (SIU) · DOI

  14. EEG-based emotion recognition with deep convolutional neural networks

    Mehmet Akif Ozdemir, Murside Degirmenci, Elif Izci, Aydın Akan

    Biomedizinische Technik/Biomedical Engineering · DOI

  15. Intrinsic Synchronization Analysis of Brain Activity in Obsessive–compulsive Disorders

    Pinar Ozel, Ali Karaca, Ali Olamat, Aydın Akan, Mehmet Akif Ozcoban, Oguz Tan

    International Journal of Neural Systems · DOI

  16. Epileptic seizure classifications using empirical mode decomposition and its derivative

    Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Hatice Sabiha Türe, Aydın Akan

    BioMedical Engineering OnLine · DOI

2019

  1. Emotional state detection based on common spatial patterns of EEG

    Merve Dogruyol Basar, Adil Deniz Duru, Aydın Akan

    Signal Image and Video Processing · DOI

  2. Comparison of IMF Selection Methods in Classification of Multiple Sclerosis EEG Data

    Soner Kotan, Jeroen Van Schependom, Guy Nagels, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  3. Control of Serious Games Designed for Alzheimer's and Dementia Patients by EEG Signals

    Ahmet Ata, Bartu Yeşılkaya, Özlem Karabıber Cura, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  4. Desıgn of Brain-Computer Interface for Controlling A Virtual Keyboard

    Delal Karakus, Ozlem Karabiber Cura, Bartu Yesilkaya, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  5. EEG based Emotional State Estimation using 2-D Deep Learning Technique

    Mehmet Akif Ozdemir, Murside Degirmenci, Onan Guren, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  6. Emotion Recognition with Multi-Channel EEG Signals Using Auditory Stimulus

    Cansu Gunes, Mehmet Akif Ozdemir, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  7. Emotion Recognition with Multi-Channel EEG Signals Using Visual Stimulus

    Tugba Ergin, Mehmet Akif Ozdemir, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  8. Frontal Synchronization Biases in Obsessive-Compulsive Disorders

    Mehmet Akif Özçoban, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  9. Investigation of Emotional Changes Using Features of EEG-Gamma Band and Different Classifiers

    Merve Dogruyol Basar, Adil Deniz Duru, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  10. Selection of Intrinsic Mode Functions for Epileptic EEG Classification Using Ensemble Empirical Mode Decomposition

    Ozlem Karabiber Cura, Aydın Akan, Sibel Kocaaslan Atli

    Medical Technologies Congress (TIPTEKNO) · DOI

  11. Synchrosqueezing transform based feature extraction from EEG signals for emotional state prediction

    Pinar Ozel, Aydın Akan, Bulent Yilmaz

    Biomedical Signal Processing and Control · DOI

Diğer yayınlar

2025

  1. Design of a Smart Infusion Pump with Decision Support

    Nursun Ustunkarli, Berkay Ilber Tunakan, Melahat Kizil, Aydın Akan

    TIPTEKNO 2025 - Medical Technologies Congress, Proceedings -- 2025 Medical Technologies Congress, TIPTEKNO 2025 -- 26 October 2025 through 28 October 2025 -- Gazi Magusa -- 217812 · DOI

  2. Signals and Systems Using Matlab®

    Aydın Akan, L.F. Chaparro

    Signals and Systems Using MATLAB® · DOI

2024

  1. Vital Signs Monitoring Ecosystem for Children

    Burak Akbuğday, Melahat Kizil, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  2. Continuous-time signals

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  3. Continuous-time systems

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  4. Discrete-time signals and systems

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  5. Fourier analysis of discrete-time signals and systems

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  6. Frequency analysis: the Fourier series

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  7. Frequency analysis: the Fourier transform

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  8. From the ground up!

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  9. Introduction to the design of discrete filters

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  10. Sampling theory

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  11. The Laplace transform

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

  12. The Z-transform

    Aydın Akan, Luis F. Chaparro

    Elsevier eBooks · DOI

2022

  1. Deep Learning-Based Computer-Aided Diagnosis System for Attention Deficit Hyperactivity Disorder Classification Using Synthetic Data

    Gulay Cicek, Aydın Akan

    CRC Press eBooks · DOI

  2. Realtime Determination of Mood in Classroom Environment

    Eda Yurdakul, Efe Ergun, Can Yildiz, Burak Akbugday, Aydın Akan, Taha Sokucu, Sude Pehlivan

    Medical Technologies Congress (TIPTEKNO) · DOI

2020

  1. Classification of attention deficit hyperactivity disorder (ADHD) by using statistical features of MR images

    Gulay Cicek, Aydın Akan

    Institute of Physics eBooks · DOI

2019

  1. Designing an Obstacle Detection and Alerting System for Visually Impaired People on Sidewalks

    Sude Pehlivan, Mazlum Unay, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI

  2. Real Time Emotion Recognition from Facial Expressions Using CNN Architecture

    Mehmet Akif Ozdemir, Berkay Elagoz, Aysegul Alaybeyoglu, Reza Sadighzadeh, Aydın Akan

    Medical Technologies Congress (TIPTEKNO) · DOI