Computational Neuroscience Explorer

Simulating artificial minds, neural decision systems, and internal states

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.
Drug Consumption Prediction
Machine learning pipeline for predicting drug consumption habits based on demographic and behavioral datasets.
Crocodylus-Gauge
Crocodile weight prediction pipeline using biological scaling laws and regression models.
Snake Game
Classic Snake game implementation with clean design, modular code, and extendable mechanics.
LIF Neuron Simulator
Visual model of neuron firing using Python and spiking logic.

Skills & Technologies

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