Voice Assistant Project
-
Updated
May 22, 2019 - Python
Voice Assistant Project
TeX files and source code for my ISIT 2017 submission. See the readme below for the full version of the paper.
The code of paper "A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation" of the Web Conference 2022 (WWW 2022).
The code of paper "A lightweight source localization in the early propagation stage".
Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)
The code of paper "Sequential Attention Source Identification based on Feature Representation".
Robotic Voice Assistant equipped with Binaural Audio Project
This projects presents a couple of signal methods for detecting and localizing an acoustic signal source by using an Arduino Board and 4 microphones.
Acoustic source localisation implementation
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
Code to analyze high-density EEG and concurrent EMG/EOG datastreams during balance perturbations (replicates results from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088363/)
Coupled matrix-tensor factorization for integrating EEG and ffMRI on the brain cortical surface with source reconstruction
The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software
TRAP MUSIC algorithm for MEG/EEG multi-source localization
TRAP MUSIC algorithm for MEG/EEG multi-source localization
SDENet as Uncertainty Quantification Method for EEG Source Localization
"Octopus Realtime Encephalography Lab" is the (hard) real-time networked EEG-lab framework I have developed during my PhD Thesis at Brain Research Lab of Hacettepe University Faculty of Medicine Biophysics Lab. It is meant to be a holistic golden-standard solution for all tasks of cortical source localization/networking, brain-computer interface…
Source localization and connectivity analysis of high-density EEG data
ICA preprocessing & source localization for EEG. Please read wiki for detailed info:
Add a description, image, and links to the source-localization topic page so that developers can more easily learn about it.
To associate your repository with the source-localization topic, visit your repo's landing page and select "manage topics."