Yearly Archives: 2024

UMRAM/ASBAM Spring 2023 Seminars: “Layers of primary visual cortex as a window into internal models about predicted and simulated environments: Human fMRI, and monkey and rodent neuroscience”

Prof. Lars Muckli School of Psychology & Neuroscience University of Glasgow Date/Time: Thursday, March 16th, 12:30 pm Meeting ID: 941 2425 2490 (Passcode: 896970) https://zoom.us/j/94124252490?pwd=T0JJMTdBd0tvZU1HeUJrUXhuYWdZQT09 Abstract: Normal brain function involves the interaction of internal processes with incoming sensory stimuli. We have created a series of brain imaging experiments (using 7T fMRI) that sample internal models and feedback mechanisms in early visual cortex. […]

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UMRAM/ASBAM Spring 2023 Seminars: “Spatiotemporal Brain Dynamics during Sleep and Wake”

Dr. Pınar Özbay Institute of Biomedical Engineering Boğaziçi University Date/Time: Friday, March 3rd, 5:30 pm Meeting ID: 939 1193 4398 (Passcode: 896970) https://zoom.us/j/93911934398?pwd=aHlWeG1YejU1U05rRG5yNjJjRzFFQT09 Abstract: It is well known that functional MRI (fMRI) signal variations covary, in part, with fluctuations in physiological signals. Since fluctuations in systemic physiology are likely to occur during various conditions, such as wakefulness, drowsiness, […]

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UMRAM/ASBAM Spring 2023 Seminars: “Abnormal EEG Event-Related Oscillations in Alzheimer’s Disease and Other Types of Dementia”

Prof. Bahar Güntekin İstanbul Medipol University   Date/Time: Tuesday, February 21st, 12:30 pm Zoom Meeting ID: 982 9900 6671 (Passcode: 896970) https://zoom.us/j/98299006671?pwd=YkNDMk5BUm1SK2RWVHJpN1Roc01ydz09   About the Speaker: Prof. Bahar Güntekin completed her Ph.D. degree in Biophysics at Dokuz Eylül University in 2006. She worked as the vice director of Istanbul Kültür University Brain Dynamics Research Center between 2006 and 2016. She was appointed Professor […]

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Trainable Fractional Fourier Transform

Please check our new article at the intersection of machine learning and signal processing published at IEEE Signal Processing Letters! We extend the theory of FrFT, a parametric signal transformation, by introducing it as a trainable layer in neural network architectures. We showed that the transformation parameters can be learned along with the remaining network […]

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Natural language processing for defining linguistic features in schizophrenia: A sample from Turkish speakers

Our collaborative work at UMRAM, Departments of Psychology and Electrical and Electronics Engineering of Bilkent University, and Department of Psychiatry of Hacettepe University on NLP-based approaches to understand schizophrenia is now published at Schizophrenia Research! In this study, we applied multiple natural language processing (NLP) methods for defining linguistic features of Turkish, a non-Indo-European language, […]

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