1/14 Happy to share our brief and sweet results on "signatures of criticality in efficient coding networks" now in @PNASNews
Paper: https://t.co/W9iwx0uGeL
#tweeprint 👇
« Après tout, ils ont changé. Et puis, c'est vrai qu'on n'a jamais essayé »... J'entends beaucoup ça depuis quelques semaines.
Du coup, je vous ai fait un petit tuto : comment reconnaître le fascisme (même quand il a mis une cravate) ?
We are #hiring for Postdoc/PhD positions at the Sorbonne in Paris, France at Sorbonne Université. Message me if you're interested in joining our team. We are attending COSYNE 2024 if you would like to meet! #cosyne2024#cosyne24 - via #Whova event app
This week I gave a presentation about flying and offsetting in academia for the Climate Action Research Institute @SwanseaUni. Here's a short 🧵 of the main points...
Out now in PNAS!
Do you want to predict neuronal responses better than with deep neural network models? We show how Gaussian Processes can do this even with high-dimensional natural stimuli and little data.
https://t.co/PtOSBLgxX4
There's a call for PhD fellowships in neuroscience in Paris (@CBRAINS_IdF): https://t.co/ClOmogjAUb
I proposed a project with Olivier Marre (@RetinaGeek) : "Predicting sensory neural responses using closed-loop". Contact us if you're interested & want to know more!
Do you want to predict neuronal responses better than deep neural network models?
We show how Gaussian Processes can do this even with natural stimuli and little data.
Plus, they compute their uncertainty, which is ideal for closed-loop experiments!
https://t.co/3CyPcuei48
👇
The successful candidate will have a foundation in quantitative sciences (physics/machine learning/maths etc), and ideally some basics in biology/neuroscience. English essential, French optional.