Sigrid Trägenap straegenap@masto.ai (@straegenap) profile picture

PhD student at FIAS/International Max Planck Research School for Neural Circuits // computational neuroscience and development // She/her @masto.ai

Joined September 2018
Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)Photo by Sigrid Trägenap straegenap@masto.ai (@straegenap)
Adding to the recent Nature-Nurture debate: very excited to share our preprint biorxiv.org/cgi/content/shor… where we explore a nature-nurture-transform in the visual cortex. In short: it could be both – a dynamic reorganization!🧵
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Mark your calendars: During @BernsteinNeuro conference 2024 on Sept 29th a very talented post doc in my @IntBioPhysics group Lisa Blum - Moyse will be giving a talk on our latest work developing theories of social foraging under different environmental conditions . The talk is part of the workshop on algorithms and neural mechanisms of social and collective decisions organised by @BahlLab and @KatrinVogt3 bernstein-network.de/bernste…
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Like ripples in the sand: cerebral cortex forms spontaneous patterns. A study by Matthias Kaschube @fias_science & @umnmedschool shows, that the cortex self-organizes during development forming highly structured activity patterns. fias.news/en/news-publicity/…, nature.com/articles/s41467-0…
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Self-organization of modular activity in immature cortical networks biorxiv.org/cgi/content/shor… #biorxiv_neursci
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Our Perspective on reconstructing computat. system dynamics from neural data finally out in @NatRevNeurosci! nature.com/articles/s41583-0… We survey generative models that can be trained on time series to mimic the behavior of the neural substrate. #AI #neuroscience #DynamicalSystems
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Very excited to be at #CNS2023 in Leipzig! I’ll present our work on developing reliable representations in the talk session Monday afternoon, 2:50 pm - and new additional optogenetic stimulation results in workshop No. 3 on Tuesday morning.
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These result from two fantastic collaborations with the labs of David Fitzpatrick @MPFNeuro and Gordon Smith @SmithNeuroLab, opto efforts led by super talented and recently graduated Haleigh Mulholland!
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Es war ein langer Weg, aber jetzt ist es geschafft. Gestern haben wir im Rat des Instituts für Philosophie der HU Berlin einstimmig beschlossen, unsere Personalstruktur grundlegend zu reformieren. Ein 🧵 dazu, was das bedeutet. 1/12 #IchBinHanna #ProfsFürHanna
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Now out @CurrentBiology. Our work using calcium imaging to study visual processing in the octopus brain! cell.com/current-biology/ful…
Very excited to share our new preprint on visual processing in the octopus! Led by Judit Pungor @traceofpink, together with @jsongco_ and @climbing_octo, we measured the functional organization of visual responses in the octopus brain. 🐙👁️ biorxiv.org/content/10.1101/… 1/n
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Beyond excited that @cebraAI is out in @Nature today: A new algorithm leveraging self-supervised and supervised contrastive learning for scientific discovery & hypothesis testing! 📑doi.org/10.1038/s41586-023-0… 🦓 cebra.ai Read more below🔽🔽🔽
🦓 Self-supervised multimodal ML is promising the next AI breakthrough - in our new work published in @Nature, we debut @CEBRAai: for self-supervised hypothesis- and discovery-driven science. 📝 doi.org/10.1038/s41586-023-0… 💻github.com/AdaptiveMotorCont… 🦓 cebra.ai/ 🧵⬇️
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Thrilled to share our paper "Intrinsic timescales in the visual cortex change with selective attention and reflect spatial connectivity" now out @NatureComms! nature.com/articles/s41467-0… We added interesting new analyses to our preprint version (thanks to the reviewers!) #tweeprint👇
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Impressive symposium on excitation-inhibition balance @NeuroforumNWG! Great talks by @GjorJulijana, @thmspfffr, @_rdgao, Anna Levina & Irina Pochinok. Thanks @SebBitzenhofer & @chini_mattia from @HanganuOpatzLab for organizing it 👏!
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Last preparations for my talk in symposium S36 "Transformations of visual representations from retina to cortex" at #GoeMe23. Many thanks to @HeleneSchreyer @kolofonium for organizing such a great lineup and inviting me as early career speaker! Friday, 14.40 in Hall 104
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the largest poster of my life so far! Exploring Nature vs Nurture - what happens to sensory representations at the junction of endogenous and experience-driven mechanisms. Say hi today at #cosyne23 at poster 7 (and scout for free drink tickets for the dance party afterwards) – at Montréal, Québec
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Happy to share our preprint on how much neuroimaging data is needed to predict intelligence. We also introduce a new prediction method that outperforms previous ones on that task. Go check it out
📢 NEW PrePrint🥳: How Much Neuroimaging Data do we Need to Predict Complex Human Traits❓>> We developed a new ML-based Predictive Modeling Framework for Neuroscience🧠 + show that IQ scores can be predicted from as few as 20 time frames fMRI data‼️ doi.org/10.1101/2022.12.23.5…
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I'm also still at #SfN22 and happy to discuss! *and for those that saw me drawing lines during my talk on Saturday: this has all the plot elements that went missing 😌🙇
Adding to the recent Nature-Nurture debate: very excited to share our preprint biorxiv.org/cgi/content/shor… where we explore a nature-nurture-transform in the visual cortex. In short: it could be both – a dynamic reorganization!🧵
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Overall, this model suggests that such nature-nurture transforms could involve realigning feedforward and recurrent networks in a fashion that is optimal for amplifying the novel activity patterns induced by the onset of visual experience.
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And such a process could very well be consistent with dynamic self-organization: by strengthening already aligned and thus more stable&correlated activity patterns via activity-dependent plasticity mechanisms.