Projects

A collection of research projects, tools, and applications in computational neuroscience and machine learning

Featured Projects

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Neural Network Visualization Tool

Machine Learning

In Progress

Interactive web application for visualizing neural network architectures, training dynamics, and activation patterns. Built with React and D3.js for real-time visualization of deep learning models.

ReactD3.jsPythonPyTorchWebGL

Code Demo

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Spike Train Analysis Pipeline

Neuroscience

Completed

Comprehensive Python toolkit for analyzing neural spike train data with modern statistical methods. Includes tools for spike detection, rate estimation, and cross-correlation analysis.

PythonNumPySciPyMatplotlibPandas

Code Demo

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Brain-Computer Interface Demo

BCI

In Progress

Real-time EEG signal processing and classification system for basic brain-computer interface applications. Demonstrates motor imagery classification using machine learning.

PythonTensorFlowOpenBCISignal Processing

Code

Other Projects

Computational Neuroscience Tutorials

Education

Ongoing

Series of Jupyter notebooks teaching fundamental concepts in computational neuroscience, from single neuron models to network dynamics.

JupyterPythonNEURONBrian2

Code Demo

Deep Learning for EEG Classification

Machine Learning

Completed

Implementation of state-of-the-art deep learning models for EEG signal classification, including CNN, RNN, and attention-based architectures.

PyTorchPythonEEGDeep Learning

Code

Neural Data Visualization Dashboard

Data Science

In Progress

Interactive dashboard for exploring and visualizing large-scale neural datasets with real-time filtering and analysis capabilities.

ReactPythonFastAPIPostgreSQL

Code

Open Source Contributions

I actively contribute to open-source projects in the computational neuroscience and machine learning communities. Check out my GitHub profile to see more contributions and collaborations.

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