Computational Neuroscience Explorer

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About Me

I'm Efekan, a developer deeply immersed in computational neuroscience. My focus lies in understanding and simulating how artificial agents can learn, decide, and become conscious.

I hold a 2-year degree in Computer Programming and have since transitioned from backend Java systems to modeling neural mechanisms and motivational engines.

Highlighted Projects

Artificial Consciousness Engine
A modular architecture simulating internal states, motivational systems, and agent decision-making based on artificial drives.
View on GitHub — NeuroConscious
Drug Consumption Prediction
Machine learning pipeline for predicting drug consumption habits based on demographic and behavioral datasets.
AxonLM
Neuroanatomical connectivity is linearly decodable from transformer FFN activations. AUC=0.963 on Allen Brain Atlas.
View on GitHub — AxonLM
ShipOfFools
An AI-powered social simulation using Agent-Based Modeling to explore human psychology and power dynamics.
View on GitHub — ShipOfFools
LIF Neuron Simulator
Visual model of neuron firing using Python and spiking logic.

GitHub Stats

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Skills & Technologies

Python
90%
TensorFlow / PyTorch
80%
MATLAB
75%
Scikit-Learn / Pandas
85%
OpenCV
70%
C / Linux
65%
Git
88%

Languages

🇹🇷 Turkish
Native
🇬🇧 English
B2
🇫🇷 French
A2
🇳🇱 Dutch
A1

Let's Connect

💼 LinkedIn 💻 GitHub 🤗 Hugging Face 🧠 Medium Blog 📘 Zenodo 🆔 ORCID 📹 YouTube
Download CV