I have 8 papers in biomedical engineering and neuroscience journals, 2 patent applications on cognitive brain modulation with electrical stimulation, more than 15 conference presentations and talks and 2 book chapters.
- 🔭 I’m currently working on human verbal memory.
- 🌱 I’m currently learning Pytorch.
- 💬 Ask me about neuroscience, data science and signal processing.
- 📫 How to reach me (twitter): @cagdastopcu
- ⭐ Papers: Google scholar
- 😄 Pronouns: he/him
Collecting and processing electrocorticography (ECoG), intracranial electroencephalography (iEEG), stereoelectroencephalography (sEEG), electromyogram (EMG), mechanomyogram (MMG), electrocardiogram (ECG), respiration and pulse data from healthy individuals and patients. Neurolynx, and ADInstruments PowerLab recording systems. Human verbal memory. Biomarkers for memory effect. Functional electrical stimulation. Muscle synergies and muscle networks with intermuscular coherence and non-negative matrix factorization (NNMF) and principal component analysis (PCA). Muscle onset detection with Fuzzy entropy. Brain plasticity. Synchronization and Kuramoto model of complex networks. Coupled oscillatory systems and coupling functions. Hilbert Transform. Statistical, frequency domain and nonlinear heart rate variability measures. Multiresolution signal processing aka wavelets. Nonlinear signal processing (fractal dimension, approximate entropy, sample entropy, wavelet entropy, wavelet packet entropy, fuzzy entropy). Dynamical functional connectivity from iEEG data. Classification with k-nearest neighbor (KNN), linear discriminant analysis (LDA), Gaussian mixture model (GMM), k-means clustering, feedforward neural networks, radial basis function (RBF) neural networks, support vector machine (SVM), autoencoder.