Felix Deilmann

Doctoral researcher in Cognitive Neuroscience @doellerlab @MPI_CBS

[Misun Kim @MisunKim_neuro]

Can human adapt their path integration system for navigating on a sphere (non-Euclidean geometry)? We found a strong Euclidean bias. Multiple local planar maps can be used to solve a complex task. https://t.co/cbRpmtQvnE

[Aroma Dabas @aroma_dabas]

Excited to finally share the preprint of the major study of my PhD! 🥳 With @rasmusbruckner, @HeidrunSchultz and @rg_benoit , we investigated whether we can learn from imagined experiences much the same way that we learn from actual experiences. 1/5
https://t.co/fGDdJe2S6v

[Mona Garvert @mona_garvert]

#PuG2024 Join us today at 14.30 for a fun symposium on Cognitive Schemas and Memory Generlisation with @katjakleespies, @TheCharleyWu, @nico_schuck, @FFdeilmann, @m_schoenauer

[Theo Schäfer @theo_aj_schafer]

One of my PhD projects is online!

We show that category prototypes correspond to interpolated states in a cognitive map that guide cortical pattern completion during category-based decisions.

w/ Mirko Thalmann, @cpilab, @doellerlab, @ThevesStephanie

https://t.co/GxqIZJcE3O

[Alexander Nitsch @NitschAlex]

Our paper on an entorhinal grid-like representation of an abstract value space with @mona_garvert @jacobbellmund @nico_schuck @doellerlab is now out in @NatureComms!
https://t.co/d9qMQOrE50

[DoellerLab @doellerlab]

Join us at #SfN23 and check out our posters on Wednesday, Nov 15 from 8am-12pm. Stop by for a chat and say hi 👋

#SfN2023 @SfNtweets @SfN_Events @MPI_CBS

[Felix Deilmann @FFDeilmann]

@NauMatt @VUamsterdam Amazing news, congratulations Matthias! 🙌 see you at SfN :)

[Felix Deilmann @FFDeilmann]

Special thanks to @HeidrunSchultz & @pauluspc for organizing and chairing. I am very excited to be part of this fantastic symposium and hope to see you at 3 pm, N6 @PuG2023

[Imaging Memory and Consolidation Lab @IMaC_Lab]

@pauluspc is chairing a symposium with @HeidrunSchultz @PuG2023 today! Come to S29 at 3pm, Hall N6 to hear @svklinkowski, @HeidrunSchultz, @pauluspc, @FFDeilmann, @nir_moneta speak about „Internal Representations of Our Environment: From Episodic Memory to Value-Based Decisions.“

[Mona Garvert @mona_garvert]

There has been a lot of progress in our understanding of how the brain organises relationships in cognitive maps. But how is this knowledge used when guiding novel choice? Work with @TankredSaanum, @cpilab, @nico_schuck & @doellerlab now in @NatureNeuro https://t.co/Aq6IKtM4Wp

[Felix Deilmann @FFDeilmann]

Interested how the 🧠 integrates knowledge about structure & reward contingencies for generalization and inference? Check out my poster MT721 with @mona_garvert @ThevesStephanie @doellerlab at #OHBM2022 (Mon: 12:15 & Tue: 1pm)

[Matthias Nau @NauMatt]

#DeepMReye is out!
Use #deeplearning to perform #eyetracking in #fMRI without camera! https://t.co/qx2OcwrUQ4

@CYHSM & I are thrilled to finally share our Code + Data + Notebooks + User Documentation + Paper @NatureNeuro!

With @doellerlab @KISNeuro @MPI_CBS Thread below!👇1/7

[Felix Deilmann @FFDeilmann]

Watch the full "poster"-presentation at #SfN21 - P878.01
🔗(SfN login) https://t.co/8x6y1Kji78

[DoellerLab @doellerlab]

Interested in relational knowledge & decision-making? Check out the poster by @FFDeilmann @mona_garvert on "Integrating knowledge about structure & reward contingencies for generalization and inference".

[Mona Garvert @mona_garvert]

Excited about our new preprint!
https://t.co/qw5gUb3j6j

Here, we investigate how multiple hippocampal cognitive maps are used for generalization, and the role the orbitofrontal cortex plays in updating hippocampal world models competing for behavioral control.

[Martin Hebart @martin_hebart]

Happy to announce a new preprint by fantastic PhD candidate Philipp Kaniuth (not on Twitter)! We demonstrate the power of feature-reweighted RSA (FR-RSA) for improving representational similarity analysis. 🧵https://t.co/Wy8C5QGgo0

[Lukas Muttenthaler @lukas_mut]

First journal paper of the PhD is out! Hooray! 🎉 We introduce THINGSvision, a Python toolbox for streamlining the extraction of DNN representations.

Paper: https://t.co/h1ruYvDjcu

GitHub: https://t.co/GhzstvXobM

1/n

[Matthias Nau @NauMatt]

Want to do #eyetracking in #fMRI without eye tracker? Check out our #preprint!

@CYHSM & I developed #DeepMReye, a #DeepLearning framework to decode gaze position from the MR-signal of the eyeballs. No camera needed! w/@doellerlab
https://t.co/AuA3kXnm4O

Thread below! 👇

[Felix Deilmann @FFDeilmann]

@GlitzLeonie @mingyussong @anika_loewe @DLBarack @ari_e_kahn Thanks a lot to you, too! It was exciting to chat with you.

[Markus Frey @CYHSM]

Happy to share my first PhD project as a #preprint. We introduce DeepInsight: A general framework for interpreting wide-band neural
activity. Can be applied on unsorted neural data + calcium imaging to decode continous behaviour or stimuli.
Paper: https://t.co/MCx04KaGcV

[Kim Stachenfeld (neurokim.bsky.social) @neuro_kim]

Slide deck from recent @CompCogNeuro Tutorial with @behrenstimb on "Representing States and Spaces." 4.5 hours, ~200 slides and we covered almost 2/3 of them! A public-speaking Everest :) 1/3 https://t.co/qJPQPQf2XP