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Bringing life back to people
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Bringing life back to people
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Eduardo79Silva/README.md

Eduardo Silva

Python Signal Processing C++ Machine Learning Location

Software Engineer specializing in Neurotechnology & Brain-Computer Interfaces.

Building intelligent systems for neural signal processing and human augmentation. Focus on closed-loop neural implants, communication BCIs for locked-in patients, and cortical visual prosthetics.


Real-time systems

GitHub Activity

GitHub Stats    Top Languages

GitHub Streak

Research Interests

Closed-Loop Neural Implants — Adaptive neurostimulation systems for treatment-resistant depression and psychiatric conditions.

Communication BCIs — Real-time decoding systems enabling communication for locked-in patients through P300 and motor imagery paradigms.

Cortical Visual Prosthetics — Direct cortical stimulation for vision restoration, inspired by Science Corp's pioneering work.

Computational Neuroscience — Understanding neural encoding, decision-making, and cognition through brain-computer interfaces.

Current Work

focus = {
    "signal_processing": ["EEG", "LFP", "Real-time filtering", "Artifact removal"],
    "machine_learning": ["Motor imagery", "P300 detection", "Neural decoding"],
    "bci_systems": ["Communication interfaces", "Neuroprosthetics", "Clinical translation"],
    "target": "ETH Zürich Biomedical Engineering"
}

Technology Stack

Core Stack

Python C++ NumPy SciPy

BCI & ML

scikit-learn TensorFlow PyTorch

Real-time Systems

Vulkan CMake

Connect

Portfolio    Blog    LinkedIn

Profile Views
"Building intelligent systems for neural signal processing and human augmentation."

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    Design and implement a biologically inspired spiking neural network using the Leaky Integrate-and-Fire (LIF) neuron model and train it on a simple image classification task (MNIST or Fashion-MNIST).

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