cagdastopcu,Cagdas Topcu,github

Hi there, I am Cagdas. I develop neural signal processing methods in MATLAB and Python 👋

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

👾 Languages and Tools :

🛠️ Technical skills :

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.

Github Mastodon

Cagdas Topcu's Projects

convolutional-wavelet-packet-autoencoder-for-dbs-recordings

Wavelet packet CNN autoencoder for deep brain stimulation recordings during a memory task in pytorch

course-content

NMA Computational Neuroscience course

doktora

Yurt dışı doktora başvuru rehberi

emg_processing_eccn2019

I uploaded tools for EMG processing and neurorehabilitation engineering problems

facialexpressionsoffullfacetransplantationsexperimentuserinterface

This user interface was developed to collect videos and facial EMG data for facial expressions and primary facial movements after full-face transplantation. It shows muscle contraction times to patients and record videos of them.

fastapi_production_template

FastAPI Project Example with Docker, Postgres & Redis

findaphd

This small code gets data from a job advertisement website and sends e-mails if the job ads has special keywords such as 'phd', 'doctorate' etc. I used this program for finding my PhD.

functionalconnectivity_aonbrainhackwarsaw

A pipeline for the AoN Brainhack Warsaw 2017 project 'Functional connectivity research: can we find a common ground?'

lidarslopefilter

Sample LIDAR data and LIDAR slope filter implementation in Matlab

physiofeat

PhysioFeat is a collection of feature extraction methods. These signal processing methods can be applied on non-stationary physiological signals such as electromyography (EMG), electrocardiography (ECG), heart rate variability (HRV), respiration and electroencephalography (EEG).