Johannes Singer

PhD student in the Neural Dynamics of Visual Cognition Lab @ FU Berlin.

[Johannes Singer @Singer_Johannes]

Very happy to share that the first paper of my PhD in #JNeurosci is now online 🥳 Together with Radek Cichy and @martin_hebart we asked whether the recognition of line drawings relies on similar neural mechanisms as those used for recognizing natural objects. 🧵1/7

[SfN Journals @SfNJournals]

New #JNeurosci research from @Singer_Johannes, Cichy, & @martin_hebart @maxplanckpress @FU_Berlin found broad commonalities in the spatiotemporal dynamics & neural representations underlying the perception of photographs & abstract drawings.
https://t.co/PWEZB3rzuU

[Johannes Singer @Singer_Johannes]

Come by our poster at #CCN2024 if you're interested in how visual representations might be read out from the ventral visual stream in a task-dependent fashion!

Poster C7, Friday, August 9, 2024, 11:15 am – 1:15 pm, Johnson Ice Rink

[Tim Kietzmann @TimKietzmann]

@AnthesDaniel Third, in a collaboration w Cichy Lab, @Singer_Johannes and @martisamuser used ANNs to model different mechanisms of human task-dependent readout from ventral stream ROIs.

A unique approach imo https://t.co/FRqE0L0cZJ

Friday, August 9, 2024, 11:15 am – 1:15 pm, Johnson Ice Rink

[Victoria Bosch @__init_self]

So happy to have arrived at @CogCompNeuro - Find me today at Poster A153 presenting my work using frozen LLMs for neural decoding of vision and analysing transformer attention on the neural data!

[Johannes Singer @Singer_Johannes]

New preprint on the representational nature of spatio-temporal recurrent processing in visual object recognition led by @seeingxie!

[Siying Xie @seeingxie]

Preprint alert 🚨I am excited about our new paper titled “The representational nature of spatio-temporal recurrent processing in visual object recognition.” 🥳🌟

https://t.co/5wJJDxUl7V

[Adrien Doerig @AdrienDoerig]

1/13 Heavily updated preprint! https://t.co/3qk9HINGuB
We show that the contextual information encoded in Large Language Models (LLMs) is beneficial for modelling the complex visual information extracted by the brain from natural scenes. 🧵

[Tim Kietzmann @TimKietzmann]

Excited to announce the second iteration of NEAT (Neuro-AI-Talks), which will take place September 2nd-3rd 2024 in Osnabrück.

https://t.co/TL3XtuHmlC

Never heard of it? Let me tell you what this is about 🧵

[Johannes Singer @Singer_Johannes]

@DanielaGresch @GaiaScerif @juliedgolomb @SageBoettcher @freekvanede @KiaNobre @brognition congrats dani !!! 🙌

[Lu-Chun Yeh @LuChunYeh]

Glad to share that our paper is out in JN @SfNJournals. Here, we explored the common and unique associations between neural representational similarity and different types of visual search using fMRI, MEG, and a DNN. With @MariusPeelen @martisamuser 👇https://t.co/KgecCpRM5T

[Lixiang Chen @lixiangchen_]

Now it's out in @ScienceAdvances https://t.co/cCr7tMMSAx.
Using EEG and fMRI data, we found that top-down feedback mediated by cortical alpha dynamics plays a key role in the construction of coherent visual experiences. With Daniel Kaiser and Radek Cichy. @CCNBerlin

[Agnessa Karapetian @agnessa_14]

And it's out in @JOCN_Journal! We added a feedforward CNN control and showed that for certain stimuli, recurrence can help with better predicting scene categorization in humans in terms of neural reps, behaviour and the brain-behaviour link: https://t.co/6ikTJom05L

[Oliver Contier @OliverContier]

How does our brain enable us to make sense of our visual world? 🗺👀🧠

Excited to share our latest work with @Chris_I_Baker and @martin_hebart : “Distributed representations of behaviorally relevant object dimensions in the human visual system”

https://t.co/fN1GK5Gjf0
🧵 1/n

[Johannes Singer @Singer_Johannes]

@HuzeYann Im curious, what bug in the GLM HRF pipeline are you talking about ?

[Adrien Doerig @AdrienDoerig]

Our paper on neuroconnectionism is finally out in @NatRevNeurosci! After years of work with an amazing team of co-authors and reviewers we are proud to present our thoughts on the philosophical and scientific underpinnings of using ANNs in neuroscience. https://t.co/xHQyUXXhdA 🧵

[Johannes Singer @Singer_Johannes]

Come by my poster tomorrow 8:30-12:30AM Banyan Breezeway if you're interested in the link between scene representations in the brain and behavior! #VSS

[Martin Hebart @martin_hebart]

Grad student @Singer_Johannes (primarily in Radek Cichy's lab) will show on Tuesday what information about real-world scenes is actually behaviorally relevant, finding surprisingly early effects. Super interesting and relevant, check it out!

[Martin Hebart @martin_hebart]

I hope you are enjoying #VSS2023! In case you are interested in what our lab has been up to, check out these presentations! 👇
Work with @MarieStLaurent3 @CNeuromod @kateiyas @Singer_Johannes @OliverContier @judyefan @WilmaBainbridge @kushin_m @andropar @StoinskiLaura

[Johannes Singer @Singer_Johannes]

@SotoCCNLab Thanks for the pointer ! Looks interesting

[Johannes Singer @Singer_Johannes]

Very happy to share that the first paper of my PhD in #JNeurosci is now online 🥳 Together with Radek Cichy and @martin_hebart we asked whether the recognition of line drawings relies on similar neural mechanisms as those used for recognizing natural objects. 🧵1/7

[SfN Journals @SfNJournals]

New #JNeurosci research from @Singer_Johannes, Cichy, & @martin_hebart @maxplanckpress @FU_Berlin found broad commonalities in the spatiotemporal dynamics & neural representations underlying the perception of photographs & abstract drawings.
https://t.co/PWEZB3rzuU

[Martin Hebart @martin_hebart]

I'm thrilled that THINGS-data is now online! We provide 3 massive datasets of fMRI, MEG, & behavior in response to up to 1854 objects and >22k images. We hope this will allow studying objects in vision, memory & language with unique semantic breadth! Link: https://t.co/hCTpymmRjU

[Lixiang Chen @lixiangchen_]

Happy to share our new preprint https://t.co/pEM6mskkAt. Together with Radek Cichy and Daniel Kaiser, we found feedback in the alpha frequency across the visual hierarchy as a key mechanism for integrating spatiotemporally consistent information in natural vision.

[Elisabeth Friedrich @ElisabethVCF]

The New Year is starting with good news: Check out our second article dealing with interpersonal predicitve coding thanks to great team work @PSauseng @annalenabiel @leoschilbach @Singer_Johannes, Dariusz O'Leary, Eva Victoria Seegenschmiedt and Imme Zillekens! @munich_biopsych

[Johannes Singer @Singer_Johannes]

@PanHelios1 @martin_hebart Thank you !

[Johannes Singer @Singer_Johannes]

@munich_biopsych @martin_hebart Thanks ! 😊