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yagmur-cam/README.md

Yağmur Çam

AI · Neuroscience · Robotics

Applied Computer Science and AI Student @ Sapienza, Rome


I am passionate about the intersection of artificial intelligence, neuroscience and robotics: how brains compute, how machines learn, and what changes when you give either one a body to operate.

✩ Building

Project What it is
my-lab My lab notebook on the web: experiments, write-ups, results
neural-plasticity-simulator How synapses learn: Hebbian rules and STDP

✩ Learning right now

C++ · Electronics · SQL

✩ Archive

Earlier work: Hodgkin-Huxley simulator · Hopfield networks & attention · Painting classifier · Electron in EM field


LinkedIn · Email

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    A convolutional network in Java/DL4J classifying paintings into 7 art styles, reaching 51.4% test accuracy on 14.7k cleaned WikiArt images. Errors concentrate along art-historically adjacent styles…

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    Hodgkin-Huxley neurons scaled from one cell to a coupled 2D grid, producing traveling depolarization waves. Measures conduction velocity against coupling strength and finds the source-sink threshol…

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    From-scratch implementations of classical and modern Hopfield networks, numerically verifying that modern Hopfield retrieval is identical to one step of Transformer self-attention. Includes capacit…

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    Classical and quantum simulation of an electron in electromagnetic fields: Boris integration, adiabatic invariants, Penning trap spectroscopy, and Landau levels.

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  6. my-lab my-lab Public

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