Pour le maintien de biliothèques de proximité de qualité… et ouvertes
A venir:
1ere soirée de soutien aux bibliothèques Toulousaines
Samedi 1er Novembre
MJC, Ancely
Contexte
Biblis en danger. Depuis le début de l’année 2025, les bibliothèques toulousaines ont fermé plus de 1400 heures faute de personnel et la municipalité affiche la volonté d’en réduire les horaires d’ouverture de façon permanente.
Tribut trop lourd pour la culture. La réduction budgetaire pour les bibliothèques serait la consequence des baisses de dotations de l’État aux collectivités locales. Cette baisse a été de 5 millions € pour la ville de Toulouse. Or les plus gros efforts sont portés par le secteur culturel :
Organisation en collectifs. Situation générale d’où créatrion d’une fédération des collectifs locaux
Un acces privilégié à la culture
Les bibliothèques et médiathèque sont le niveau le plus démocratique d’accès à la culture. A part les boites à livre, il n’y a aucun autre endroit où il est si facile de consulter, emprunter ou échanger sur une oeuvre.
Un lieu de rencontre
Un des rares lieux où se côtoient et échangent toutes les catégories de personne d’un quartier. Sans distinction d’age, de milieu social ou de bord politique.
Des conseils pro
Les bibliothécaires sont essentiel.les pour la cohésion, le climat apaisé et les conseils d’emprunt
Initiatives locales
Bibliothèque BONNEFOY
En savoir plus
Mail du comité d’usager-e-s : SoutienBibliBonnefoy@gmail.com
Plusieures actions:
- 7 juin – 100 personnes devant la bibliothèque.
- 11 juin – Le quartier entier mobilisé pour sensibilié le Maire lors de sa venue.
- 28 juin – consitution d’un commité.
- 3 juillet – 17 associations du quartier (culturelles, écoles, riverains, commerçants…) font une lettre commune à la mairie.
- 20 septembre – 70 personnes, délégation d’autres bibliothèques présentes.
Introducing Meggie – a MNE-python based graphical user interface to do M/EEG analysis
Erkka Heinilä
University of Jyväskylä, Finland
More information
Meggie is a free open source software for running MEG and EEG analysis with a graphical user interface. It is written in Python 3, runs on Linux, macOS and Windows, and uses the MNE-python library under the hood to do heavy lifting. It is designed to allow end-to-end analysis of MEG and EEG datasets from multiple subjects with common sensor-level analysis steps such as preprocessing, epoching and averaging, spectral analysis and time-frequency analysis. Most of the analysis steps can be run for all the subjects in one go, and combining the results across subjects is made possible with grand averages.
The software website can be found at https://github.com/cibr-jyu/meggie, where the instructions for installation and usage are. We are also preparing an article: https://www.biorxiv.org/content/10.1101/2022.09.12.507592v1
In the session we will go through the basic features of the software, providing a good starting point on deciding whether the software could be useful for you and how to use it. One does not need to install anything to participate.
Prerequisite: None
Frites: a Python package for functional connectivity analysis and group-level statistics of neurophysiological data
Andrea Brovelli
Institut de Neurosciences de la Timone, Aix-Marseille Université, France
More information
Frites is a Python toolbox for task-related functional connectivity analysis based on information theoretical approaches and group-level statistics on neurophysiological data (M/EEG, Intracranial). Frites also contains workflows accessible to users with little programming knowledge. For more information please see the Frites webpage (https://brainets.github.io/frites/) and recent releases on github (https://github.com/brainets/frites).
Prerequisite: Python
NeuroPycon & Ephypype
Annalisa Pascarella
Institute for Applied Mathematics, M. Picone, National Council of Research, Rome, Italy
More information
NeuroPycon (Meunier et al. 2020) is an open-source brain data analysis toolkit which provides Python-based template pipelines for advanced multi-processing of M/EEG, functional and anatomical MRI data, with a focus on connectivity and graph theoretical analyses.
NeuroPycon is based on the NiPype framework (Gorgolewski et al., 2011) which facilitates data analyses by wrapping numerous commonly-used neuroimaging software tools into a common Python framework.
The current implementation of NeuroPycon contains two complementary packages:
– ephypype is mainly based on MNE-python package (https://mne.tools/) and includes pipelines for electrophysiology analysis and a command-line interface for on the fly pipeline creation. Current implementations allow for MEG/EEG data import, pre-processing and cleaning by automatic removal of ocular and cardiac artefacts, in addition to sensor or source-level connectivity analyses.
– graphpype is based on radatool (https://deim.urv.cat/~sergio.gomez/radatools.php) and is designed to investigate functional connectivity via a wide range of graph-theoretical metrics, including modular partitions.
Results visualization is provided through visbrain (http://visbrain.org/), an open-source python software devoted to graphical representation of neuroscientific data.
NeuroPycon is available for download via github (https://github.com/neuropycon) and the two principal packages are documented online (https://neuropycon.github.io/ephypype/index.html, https://neuropycon.github.io/graphpype/index.html).
The present hands-on session describes the philosophy, architecture, and functionalities of NeuroPycon packages and provides illustrative examples through interactive notebooks.
Prerequisite: Python
Presse
La presse se saisit de la mobilisation face à la fermeture des bibliothèque, quelques exemples:
Contact the team
Send us an email
contact@cuttingeeg.org
Stay in touch
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