🧠 Brain-Computer Interfacing bootcamp course + projects @ Saturdays.AI (BCI + AI)

Neuro evolution agent to buy and sell stocks atumatically

Python module to use the annotations created with NeuroCurator, for example in a Jupyter notebook.

Jupyter notebooks for analysis of dendritic two-photon calcium imaging data using the CaImAn toolbox.

I created this notebook to help me with behavioral neuroscience experiments. It calculates the average positions and velocities of two body parts (for better accuracy), and creates visualizations such as GIFs and streamline plots to represent the motion and flow of movement.

Sample python notebook demonstrating synaptic plasticity.

Contains all the scripts and Jupyter notebooks for electrophysiology data analysis in the Neurotechnology Lab, ETH Zurich

An innovative and collaborative solution for setting up and executing Jupyter Notebooks on High-Performance Computing (HPC) clusters, tailored for neuroscience data processing workflows.

notebook for stats & modelling support at RHUL psych department

Python datascience Tutorial in IPython Notebook

Python Jupyter notebook for Neuralink Patent No. US 2021/0012909 A1, titled "Real-Time Neural Spike Detection"

This repository contains code and notebooks for Neuromatch Academy (NMA2025) Computational Neuroscience course project analyzing the Allen Institute Visual Behavior 2-Photon (2P) dataset.

University project: relational database of neuroscientific studies (SQL with DuckDB + PostgreSQL, Jupyter Notebook)

This repo contains notebooks for different projects that I have undertaken at ICTP, from ML, RL and Neuroscience.

A notebook for creating, integrating, and analyzing a graph representation of a relational database of quantitative measures in the murine basal ganglia.

This repository contains notebooks and resources for the workshop taking place in years 2024-2025 at the Leibniz Institute for Neurobiology in Magdeburg.

Notebooks on Brain Network interactive visualization and analysis using mainly networkX and plotly and data from Budapest Reference Connectome: https://pitgroup.org/connectome/

This repository hosts a Jupyter notebook for loading, preprocessing, and analyzing the BigP3BCI dataset, focusing on P300 oddball event‑related potentials (ERPs) in an EEG brain–computer interface (BCI) paradigm.

With this notebook, we aim at deciphering the relationship between brain waves and spike trains in neurons of the GPe, where we hypothesize to find two populations of neurons having different relationship.

This repository contains Jupyter notebooks that simulate a Hodgkin-Huxley neuron model and apply Bayesian inference using synthetic data. The goal is to simulate neuronal activity and use Bayesian methods to infer the underlying model parameters.