A passionate Computational Neuroscience Explorer focused on simulating artificial consciousness, neural decision-making, and biologically inspired systems through code. With a background in computer programming and a deep curiosity for how the brain works, I bridge neuroscience with technology.
Python Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Actions GitHub
NeuroConscious: A biologically inspired, modular artificial consciousness engine. It simulates autonomous agents interacting in dynamic virtual worlds with internal states, emotions, memory (episod...
AxonLM: Neuroanatomical connectivity is linearly decodable from transformer FFN activations. AUC=0.963 on Allen Brain Atlas.
Python
This project explores the potential of predicting drug consumption using personality traits and demographic information based on a dataset obtained from Kaggle. The workflow includes data preproces...
Jupyter Notebook 1
Jupyter Notebook 2
Python
Basic spiking neuron simulations using Brian2 in Jupyter Notebooks
Jupyter Notebook