Paweł Pierzchlewicz

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Paweł Pierzchlewicz

Paweł Pierzchlewicz

@ppierzc

PhD student @sinzlab 🎓 pose estimation, deep learning, reinforcement learning, computational neuroscience 🧠 and sailing ⛵. Previously @MPICybernetics

Göttingen, Germany Katılım Kasım 2013
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Katrin Franke
Katrin Franke@kfrankelab·
New preprint @biorxiv_neursci w/ @AToliasLab & more Our data-driven deep learning approach in🐭🐒identifies a new rule of contextual modulation in visual cortex Pattern completion/disruption wrt natural image stats = surround facilitation/suppression🧵👇 biorxiv.org/content/10.110…
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Sensorium
Sensorium@SensoriumComp·
The Sensorium 2023 competition is over. Here are the winning teams: 🥇IRomul 🥈YuZhu 🥉dunedin All winners used custom architectures. To learn more about their approaches, join our in-person workshop at NeurIPS on Friday, Dec 15, 2023. 🗓️ 1/4
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Alexander Ecker
Alexander Ecker@alxecker·
📣Excited to share our preprint on excitatory morphological cell types in mouse visual cortex led by Marissa Weis. In this paper, we describe a set of principles that capture the morphological diversity excitatory neurons. A thread: (1/10) biorxiv.org/content/10.110…
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Noémi Éltető
Noémi Éltető@EltetoNoemi·
1/ The first paper from my PhD work is out in @PLOSCompBiol! Deep thanks to my supervisor Peter Dayan for, well, everything; to @nemethd and Karolina Janacsek for a rich data set; and to the reviewers for helping make this paper more complete.🧵continues tinyurl.com/36pxwya5
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sinzlab
sinzlab@sinzlab·
Very happy to see the work of our team member @KonstantinWille out in @Nature. Amazing collaboration with @kfrankelab and @AToliasLab. Looking forward to many more exciting insights to come.
Katrin Franke@kfrankelab

So excited this is out @Nature 🎉 Pupil dilation with internal brain state rapidly shifts neural feature/color selectivity in mouse visual cortex by switching between rod&cone photoreceptors👁️🧠 nature.com/articles/s4158… Shared work with @KonstantinWille, @AToliasLab & @sinzlab

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Mo Bashiri
Mo Bashiri@neuralbash·
Finally, our crash course "An Introduction to Machine Learning" is out. This was a lot of work, but @ArneNix and @pachourse made it a really fun experience! The hardest part?👉having to watch my own videos.. they are never good enough🙈
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sinzlab@sinzlab

@arnenix and @neuralbash gave a short introductory course on machine learning at the "Bridging the Technological Gap" workshop at @DPZ_eu. From that, they created a ~2 hour crash course, for anyone interested to get started with ML, available on YouTube: bit.ly/3S6ddpv

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Paweł Pierzchlewicz
Paweł Pierzchlewicz@ppierzc·
My new blog post is out now! This time I will take you on a deep dive into a cool method of generating samples from a distribution that we cannot explicitly compute. It is known as Langevin Monte Carlo. Read the post: perceptron.blog/langevin-dynam…
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sinzlab
sinzlab@sinzlab·
If you are a Scientist (PhD student/Postdoc) in Machine Learning or Comp Neuro who has to leave Ukraine because of Russia's invasion, and you need a university to host you for 6-12 month, we can potentially get funding for that (volkswagenstiftung.de/unsere-foerder….)
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sinzlab
sinzlab@sinzlab·
We are looking for a PhD student to develop probabilistic ML models for the progression and causes of Parkinson's disease. Joint project together with Hertie Institute for Clinical Brain Research. We explicitly encourage women and other underrepresented groups in STEM to apply.
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sinzlab
sinzlab@sinzlab·
New Paper at #NeurIPS2021: We combine Normalizing Flows, DNNs, and Factor Analysis models to predict full response distributions for large populations of neurons in mouse visual cortex. Work led by @neuralbash and @eywalker, in collaboration with @toliaslab.
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Corinna Schulz
Corinna Schulz@Cor_Et_Cerebrum·
My happy face: Submitted my master's thesis "Hyperaligning brainstem connectivity during vagus nerve stimulation" 🧠⚡many thanks to @neuroMADLAB and @GTC_Tue! Based on previous work by @haxbylab
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Mo Bashiri
Mo Bashiri@neuralbash·
This was challenging, exhausting, and fun! Stay tuned to hear about what's being presented..
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Google DeepMind
Google DeepMind@GoogleDeepMind·
We’ve acquired the MuJoCo physics simulator (mujoco.org) and are making it free for all, to support research everywhere. MuJoCo is a fast, powerful, easy-to-use, and soon to be open-source simulation tool, designed for robotics research: dpmd.ai/mujoco-blog
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Paweł Pierzchlewicz
Paweł Pierzchlewicz@ppierzc·
Quite some interesting work on mouse depth perception! 👁️ 🐁
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