neural network project for grad school, using lasagne
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Updated
Aug 22, 2018 - Jupyter Notebook
neural network project for grad school, using lasagne
Learning low-level facial attributes to encode muscle movements as a dense vector for stuttering studies.
This repository contains code to generate and analyse simulated data that is used in the study of "Inhibition and excitation shape activity selection: effect of oscillations in a decision-making circuit".
LiFE-GPU-opt software is an optimized implementation of the compute-intensive matrix operations of the LiFE algorithm for GPUs.
CaMOS, a GUI for analysis of multimodal neuroscience datasets.
Applying Computer Vision basics in studying neurons.
A repository for our code and data to generate results for study of the roles of FOF and PPC in risky choice.
Windows desktop software that interfaces with the ReWire pulse oximeter
Repository for the "Advanced Cognitive Neuroscience" course at Aarhus University, featuring analysis of MEG and fMRI data from thought-reading experiments at Aarhus Skejby Hospital, Denmark. This project delves into the potentials of neuroimaging in cognitive science research.
Repository stage de M1 - NeOpTo de l'INT
MATLAB and python codes for human EEG, fNIRS, eye tracking, ECG, sEEG, respiration and fMRI analysis.
An interactive platform for cognitive enhancement with neuroscience-backed games and educational content.
Codebase of my 2nd internship data science project
Continual Learning & Motor Planning Using Biologically Inspired Perspectives: Finding Suboptimal
Accurate Detection of Spiking Motifs in Neurobiological Data by Learning Heterogeneous Delays of a Spiking Neural Network
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