Discover this project
By Katia Djerroud
June 25, 2024
Analyzes emotional dynamics in social interactions using voice and linguistic analysis on the Friends TV show dataset. Utilizing tools like Praat, OpenSmile, NLTK, and Hugging Face Transformers, it detects emotions from audio and text. Deliverables include code, documentation, datasets, and analysis workflows. Achievements encompass integrated emotion detection models and a robust analysis pipeline, with future plans to enhance models and expand datasets.
By Iangola Andrianarison
June 21, 2024
This project trains machine learning classification models to make predictions of adhd diagnosis from brain fRMI connectivity measures which are obtained from a resting state ADHD dataset . The main goals of this project are to get more practice with machine learning tools and to learn how work with brain data more precisely fMRI data.
By Cornelius Crijnen
This project aims to evaluate the similarity between the representations of artificial neural networks (ANNs) and the visual system in the mouse brain using Representational Similarity Analysis (RSA).
By Vincent Chamberland, & Renaud Dagenais
This project aims to develop a preprocessing pipeline to fine-tune a Video Large Language Model (Vid-LLM) for automatic annotation of gameplay recordings in cognitive neuroscience studies. Leveraging the Gym Retro ecosystem and the Courtois NeuroMod dataset, we convert event logs into video format and generate detailed annotations and timestamps to train the Vid-LLM. Deliverables include cleaned datasets, documentations and Jupyter notebooks.
By Y Song
While Parkinson’s disease (PD) is recognized by its motor symptoms, it is also characterized by non-motor symptoms (NMS), such as anxiety, depression, pain, etc. NMS often precede cognitive decline, making them potential predictors of such decline. This project aims to investigate the longitudinal association between non-motor symptoms and cognitive and neural decline in patients with PD. Early identification of individuals at higher risk of cognitive decline through their NMS presentation can facilitate timely interventions.
By Romain DUCHADEAU
June 19, 2024
This project utilizes fMRI data and machine learning to predict sleep states, aiming to enhance understanding of sleep patterns and disorders. By analyzing brain activity during different sleep stages, it seeks to improve diagnostics and develop personalized treatments for sleep disorders. The primary goal is to determine whether a participant is asleep or awake using resting-state fMRI data.
By Arian Morteza
June 15, 2024
Brain Decoding is the reconstruction of the sensory and other stimuli form the information that has already been encoded and represented in the brain. For example, image genration, and task classification, from brain activity signals could be covered under this topic. In this project, a graph neural netwrok appriach is used to learn the representation of the brain regions activities, and do image classification for the end-user (patient).
By AgustÃn Rodriguez, Ezequiel Sirne, & Francisco Covelli
June 14, 2024
We used the ADHD-200 Sample dataset to implement various machine learning classification models, aimed at diagnosing ADHD through resting-state fMRI signals.
By MatÃas Caccia, JeremÃas Inchauspe, & Paloma Georgopulos
Our project aims to identify acoustic and semantic markers from the speech of Alzheimer’s patients to detect the disease and estimate MMSE scores using machine learning models. This approach offers a scalable and cost-effective method for early diagnosis.
June 11, 2023
Emotion perception is contextualized. However, how emotional context modulates word processing is unclear. We regression-fitted raw EEG data to test for emotional valence effects. The results revealed a widespread effect of context valnece, as well as a plausibility N400 waveform, well replicating the past ERP literature. Moreover, as we plan on conducting a subsequent experiment to follow up on the findings the present study has revealed, this project also includes the code for constructing experimental stimuli.
This is the project gallery from past editions.
63 projects are currently displayed.
95 participants have uploaded their projects.
Copyright (c) 2025, BrainHack School; all rights reserved.
Template by Bootstrapious. Ported to Hugo by DevCows.
