Emeç Erçelik

Research assistant at the Neuroscientific System Theory chair. My research was about spiking neural networks and its applications on robots and in machine learning domain, specifically about robot arm control and EEG classification.

I was teaching and research assistant at the Electronics and Communication Engineering Department of Istanbul Technical University. My research was mainly about decision making models with spiking neural networks and implementations on robots.

I worked about mouse locomotion in Blue Brain Project of EPFL mainly on "gait optimization of a virtual mouse robot by using evolutionary methods, supervised learning in recurrent neural networks, and central pattern generators".

I worked about design of several communication protocols on Xilinx FPGA at the Defence System Technologies Department.

Cabin Tool (television audio test interface) Design in C#

Intern at the Electric Maintanance Department

Computational Neuroscience, Humanoid Robots, Spiking Neural Networks Thesis: ”Implementation of Cognitive Tasks and Learning on Robots with Using Spiking Neural Networks”