🚨 New preprint alert! 🚨 My first work as a last author is out! 🧵⬇️
Please follow me and many other researchers here https://t.co/UyyVwTujxh
, I will be soon closing my account in X
https://t.co/s6nkBaf1C8
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
Excited about #VisionNeuroscience ? Join us at #CoSyNe2024 in Cascais, Portugal on March 5th! Dive into "Sharpening Our Sight" - a workshop on efficient neural representations & active vision. 🔍🧠
https://t.co/hlaEBv7mt2
Congratulations to our team head Daniel Shulz, who was awarded the Nature Award for Mentoring in Science!
This recognizes a life of dedication to the success of junior scientists and to the development of the neuroscience community in France and beyond.
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
Curious to learn how extracellular electrophysiology acquisition systems work and build one yourself?
📝Applications for our remote @Cajal_Training#Neurokit Course (Oct 9-13th) are open!
Apply here before August 22nd: https://t.co/lK91tZLhoI
New preprint!
Acquisition of non-olfactory encoding improves odour discrimination in olfactory cortex
https://t.co/kyrp8ts18e
This is the result of hard work from several lab members @amarinburgin@sebbromano@Macky155@lucca_salomon
A thread with main results… 🧵
1/15
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
👇