Keith B. Doelling

@kbdoelling.bsky.social

Chargé de Recherche, INSERM Institut Pasteur Cognitive and Computational Neuroscience in Auditory Perception

Assistant/Associate Professor position on Computational Neuroscience of Language opening at the University of Geneva, in collaboration with the National Center for Competence in Research "Evolving Language". Full details on the position and how to apply: jobs.unige.ch/www/wd_porta....

Professeur-e Assistant-e avec pré-titularisation conditionnelle ou Associé (6846)

en neurosciences computationnelles / Assistant Professor with Tenure Track or Associate Professor in computational neuroscience

jobs.unige.ch

🚨 1 week left to apply for the Pasteur-Paris University International PhD Program (PPU)! Join an international community of scientists at the Institut Pasteur 🌍 Dedicated support, mentorship & world-class labs included. 📅Deadline: Oct 20, 2025 🎓Program start: October 2026 👉 Apply: bit.ly/CallPPU

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🎉New Paper Alert!🎉 Really excited that this collaboration is finally out! It shows that combining oscillatory dynamics with hierarchical predictive frameworks generates speech perception that is robust to temporal distortions: similarly to human behavior and more so than current ASR models.

Nature Computational Science@natcomputsci.nature.com · 10mo ago

📢Out now! Olesia Dogonasheva and colleagues from @neurospeech.bsky.social present a predictive model for speech processing in the auditory cortex. www.nature.com/articles/s43... #compneurosky 🔓 rdcu.be/eImit

The Pasteur Institute opens its Doctoral Program app. There are 5 projects focused on Hearing and my team is involved two of them! 1) neural oscillatory dynamics in temporal processing of speech 2) Algorithms for speech intelligibility in cochlear implants DM me if interested! www.pasteur.fr/ppu

Pasteur-Paris University International doctoral program​ (PPU)

OverviewIn 2009, the Institut Pasteur, the world leading biomedical research institute founded by Louis Pasteur in 1887, inaugurated the Pasteur Paris-University (PPU) international doctoral program i...

pasteur.fr

Companies Scaling Back or Denouncing DEI Amazon Boeing Brown-Forman Caterpillar Ford Harley-Davidson John Deere Lowe’s Molson Coors McDonald’s Meta Nissan Stanley Black & Decker Target Tractor Supply Toyota Walmart Support who supports you ✨✊

periodically I look around at the state of the internet and the way it is clearly contributing to making the world worse in so many ways, and I think back to dicking around in a computer lab in the early 00s and how full of promise it all felt, and I feel sad it didn't have to be this way

Neuroscience students asked us to teach a PRACTICAL course on experimental methods, and it is now on YouTube! Please like and repost to help us get the word out! www.youtube.com/playlist?lis... Lecture 1: Signals and data acquisition Focusing on hardware, digital/analog I/O, synchronization 🧵

Neuroscience methods - YouTube

Nanocourse: Approaches to Study Neural Circuits This course was taught by Anita Autry, Tiago Gonçalves, and Luke Sjulson at Albert Einstein College of Medici...

youtube.com

In a @currentbiology.bsky.social paper earlier this year, led by @laurawesseldijk.bsky.social, we analysed Beethoven’s genome with a polygenic index related to musicality, as a way to communicate limits of genetic predictions at the individual level & the complexity of links between DNA & behaviour:

Notes from Beethoven’s genome

Wesseldijk et al. compare the genomic information collected from Ludwig van Beethoven with population-based datasets used to quantify musical achievement.

cell.com

Very happy for my first BlueSky post to highlight our preprint! It's a great collab w @bnmorillon.bsky.social, @luc-arnal.bsky.social, Mathieu Pham Van Cang, Paul Robert. An RNN to make parallel predictions in polyphonic music shows parallelization is key for neural encoding of musical predictions.

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 2y ago

Multi-stream predictions in human auditory cortex during natural music listening https://www.biorxiv.org/content/10.1101/2024.11.27.625704v1