orhansoyuhos Goto Github PK
Name: Orhan Soyuhos
Type: User
Company: UC Davis Center for Neuroscience
Bio: Graduate Student Researcher at UC Davis Center for Neuroscience.
Twitter: SoyuhosOrhan
Location: Davis
Blog: orhansoyuhos.github.io
Orhan Soyuhos's Projects
advanced-hands-on-fmri-analysis-class
This project is my final assignment for the Advanced Hands-on fMRI Analysis course during my master’s degree. It was a great experience! I applied multiclass decoding and representational similarity analysis to the fMRI data by using CoSMoMVPA toolbox.
binance-trading-bot
It is a bot to trade cryptocurrency in Binance.
decoding-motor-responses-from-neural-spike-activity-
This repository includes the code I wrote for the weekly assignments in this Biomedical Engineering course. We were asked to develop a PSTH classifier in the final week.
naturalistic-video-reconstruction-from-brain-activity
Naturalistic video reconstruction from brain data of participants who freely viewed movies during fMRI recordings.
neural-networks-in-neuroscience-seminar-series
A short script to predict whether a subject was presented with a number or not, using brain data recorded by commercial EEG devices.
orhansoyuhos.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
prf-mapping-simulation
This repository provides MATLAB scripts for simulating neural responses to visual stimuli and calculating population receptive fields (PRF) based on these responses.
psychtoolbox-assignment
This project is my final assignment for the Introduction to MATLAB course, where I used Psychtoolbox to write an interactive learning environment for teaching English to kids.
rmeg-fef-vs-ifj
The analysis pipeline for our paper 'Functional connectivity fingerprints of the frontal eye field and inferior frontal junction suggest spatial versus nonspatial processing in the prefrontal cortex'.
rsa-for-object-scene-perception
I worked on this project during my internship in Object Vision Group at CIMeC. For a dataset of object and scene images, I used transfer learning to test the feature extraction of several neural networks by applying representational similarity analysis (RSA).
seeg-forced-two-choice-task-classification
This project is from the NeuralStorm Workshop in 2023. On the final day, we had a small competition to classify choices made in a sEEG Forced Two-Choice Task. Wenqing and I from CCLAB teamed up and tied for first place in the competition! We primarily utilized summary statistics derived from several frequency bands to predict the choices made.
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