Below some news about the team!
27th-28th November 2023
It was great visiting the BCBL lab in San Sebastian together with Benedikt Zoefel. It’s always inspiring meeting new people and amazing scientists, and foster challenging discussions (special thank to Nicola Molinaro for challenging my views on Predictive Coding around a nice dinner). Another special thanks to Manuela Ruzzoli for her generosity and hospitality (and her amazing perseverance on a Sunday afternoon fighting against French train troubles). Looking forward to meet again soon (maybe in Toulouse..!).
The team is growing again! Martina joined the team as a phd student in October, working on both computational and experimental projects on traveling waves and predictive coding. Check her out in the people page.
19th of October 2023 - CuttingEEG talk in Lyon
It was a great pleasure to join the Cutting EEG garden in Lyon for a nice workshop on Neural Communication, organized by Mathilde Bonnefond, with Matteo di Volo and Julien Vezoli as speakers. Beside the interesting scientific interactions, it was very inspiring to be part of one of the first distributed conference ever, alternating online events with ‘live’ ones. Minimizing CO2 emissions while connecting with the local community has never been easier!
24-27th of August 2023 - CCN2023 conference in Oxford
It was great to attend our regular, annual meeting at CCN in Oxford this year! Beside presenting our work with Martin Giurfa’s team about modeling honeybee learning in trace conditioning, I was particularly glad to join the diversity lunch, and the workshop on climate action. It’s great that a conference dedicates some time for these topics, and it feels good to share and discuss these issues with other fellows in the community. Kudos and gratitudes to the organizers for putting all of this together!
(in the image below, I placed one of the yellow pin… but which one?)
The team is growing! After Leslie and Bhavin, also Xiaoqi and Jakob joined the team to unveil the link between traveling waves and predictive coding. Check them out in the people page.
29th of June 2023 - IOP conference in Geneva
Presentation of our latest work on alpha waves and attention at the International Organization of Psychophysiology (IOP). It was great to be part of the Symposium on ‘The role of ALpha Rhythm in Perception, Attention and Vigilance’ with Prof. Alberto Zani, Susanna Lopez, David Pascucci and Niko Busch.
22nd of May 2023 - Presentation at Pint of Science
Andrea presented (in French!!) some of the team’s work about the connection between Neuroscience and Artificial Intelligence. The main idea was to show how the two fields can benefit from each other. Big thank to the Association Incognu for the great organization!
May 2023 - A Traveling Waves Perspective on Temporal Binding
An interesting commentary in written with Rufin, where we explore how traveling waves may be involved in Temporal Binding. More broadly, we had fun envisioning different scenarios, disentangling travelling and standing waves, and cortico-cortical and thalamo-cortical interactions in the generation of travelling waves. Here the paper.
Febrary 2023 - Distinct roles of forward and backward alpha-band waves in spatial visual attention
New paper in , where we explore how traveling waves are modulated by visual selective attention. Analysing three different datasets, we were able to disentangle alpha-band top-down and bottom-up traveling waves, demonstrating that they are possibly involved in different mechanisms. Here the paper, with the precious help of Malo and Lucie, and the collaboration of Rufin VanRullen.
Novemeber 2022 - ERC-Starting Grant OSCI-PRED funded!
We are thrilled to announce that the OSCI-PRED project was funded for around 1.4 milion euro by the European Research Council! The projet will officially begin on March 2023 for 5 years.
You can find more information about the project here
October 2022 - On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective
New paper in , where we investigated the role of the feedback in deep neural networks using a Predictive Coding implementation. Building on our previous work (using the library ‘Predify’, published at NeurIPS 2021, check it out here), we show how the hyperparameters controling the amount of feedback varies as a function of the noise in the image. We believe these results will be of interest for both Computer Scientists and Neuroscientists. Here the paper, in collaboration with Milad Mozafari, Bhavin Choksi and Rufin VanRullen.