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Dr. Anna Schapiro Profile
Dr. Anna Schapiro

@AnnaSchapiro

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Following
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Media
102
Statuses
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Assistant Prof at U Penn. Learning, memory, sleep, neural network modeling, open science. https://t.co/4dODyQuOd0

Philadelphia, PA
Joined April 2009
Don't wanna be here? Send us removal request.
@SleepSciencePo1
Sleep Science Podcast
5 months
Our new episode is out! We talk with @annaschapiro about neural network models, the Complementary Learning System theory and Anna's recent work on testing predictions of neural network models with TMR/EEG Big thank you to Anna for joining the podcast! https://t.co/Tq13tbYAlw
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@DhairyyaS
Dhairyya Singh
6 months
New preprint! Statistical structure skews object memory toward predictable successors. Model simulations show how this bias can arise from the backward expansion of hippocampal representations. w/co-first Cody Dong, @MarlieTandoc & @AnnaSchapiro
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@Rob_Mok
Rob Mok
10 months
JOB ALERT: Computational Cognitive Neuroscience Postdoc position in Osaka, Japan! Plus PhD positions for April 2026. PLEASE REPOST! We had to re-start the process after our preferred candidate withdrew. Info 👇.
@Rob_Mok
Rob Mok
1 year
PLEASE SHARE: apply to my postdoc in Osaka. Comp cogneuro of learning, control, & concept representation. fMRI, cognitive models & deep nets. Initial deadline Oct 18, pls contact me if interested. The deadline will be extended once so don't worry if u need more time.
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@AnnaSchapiro
Dr. Anna Schapiro
10 months
Our lab is hiring a post doc! We are looking specifically for someone with machine learning research experience to contribute to funded simulation projects on learning and/or replay. Please share, and email me if you are interested!!
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@denisejcai
Denise J. Cai, Ph.D.
1 year
🌟 Cai Lab @Nature paper alert! In new work led by @mysteriousjoe_, we find that rest periods after learning not only stabilize new memories BUT ALSO integrate new memories with older ones from days past! (1/9) Read it here: https://t.co/Ur8dbGfuP3
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@YunzheNeuro
Yunzhe Liu
1 year
happy to share this with everyone—a sleep content decoder. Hope some may find it useful...!
@biorxiv_neursci
bioRxiv Neuroscience
1 year
Interpreting Sleep Activity Through Neural Contrastive Learning https://t.co/u2ciswEfM1 #biorxiv_neursci
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@ItzhakFried
ItzhakFried
1 year
Temporal structure of experience etched on firing of human hippocampal-entorhinal neurons to serve memory & prediction. See our study @Nature at @UCLANsgy, great work by lead author @PTacikowski with @GuldamlaKalendr & @DavideCili support @NIH_NINDS. https://t.co/4wWzb1N4r5
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nature.com
Nature - Single-neuron recordings from intracranial electrodes inserted into human brains for clinical reasons suggest that the temporal structure of human experience is encoded in human...
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@PennMindCORE
PennMindCORE
1 year
MindCORE Postdoc Fellowship @Penn Apply by Dec 1, 2024 Designed for new(ish) PhDs in neuro, psych, ling, philo, CIS, cog sci+ 3 yrs salary +20K research fund More: https://t.co/niuXIS8uT0 Pls RT @whartonknows @PennEngGrad @AnnenbergPenn @PennLinguistics @PennBiology @PennNGG
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@michaelfbonner
Mick Bonner
1 year
What do artificial and biological vision have in common? Shared architectures? Shared task objectives? In this preprint, we suggest a more general explanation: they share universal dimensions of natural image representation.
@ziruichen44
Zirui Chen
1 year
Why do varied DNN designs yield equally good models of human vision? Our preprint with @michaelfbonner shows that diverse DNNs represent images with a shared set of latent dimensions, and these shared dimensions turn out to also be the most brain-aligned. https://t.co/vtOOYHQb47
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@amysuefinn
Amy Finn
1 year
New paper out! We show how children really are little sponges, learning to the same extent regardless of whether we tell them to focus or not! And the fact that @MarlieTandoc managed to see this through from her lab-manager days will forever impress me!!
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journals.sagepub.com
Children sometimes learn distracting information better than adults do, perhaps because of the development of selective attention. To understand this potential ...
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@hannahtstoll
Hannah Tarder-Stoll
1 year
📣 New paper with @mariam_s_aly and @ChrisBaldassano! We show that consolidation improves memory for temporal structure and makes multistep predictions more efficient but less perceptually detailed! Read more here:
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journals.sagepub.com
Many experiences unfold predictably over time. Memory for these temporal regularities enables anticipation of events multiple steps into the future. Because tem...
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@AnnaSchapiro
Dr. Anna Schapiro
1 year
Sad to be missing CCN myself, but @neuro_zz is there! Go check out this new project we are very excited about tomorrow!
@neuro_zz
Zhenglong Zhou
1 year
Excited to present new work w/ @AnnaSchapiro at #CCN2024! On Thursday, I will present results showing that, through meta-learning, properties resembling distinctions across the neocortex-hippocampus hierarchy emerge in ANNs [Poster B89]
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@TMR_et_al
Eitan Schechtman
1 year
How are multiple interconnected memories reactivated during #sleep? We've published our opinions, but here I'd like to highlight recent findings from other groups. Tl;dr: multiple memories can be (almost) simultaneously reactivated & shared contexts drive this reactivation 1/8
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@perpl_lab
Kari Hoffman
1 year
📢The latest from talented @SAbbaspoor 's PhD is out in @cellreports! You into ensembles (@DiagBiochips DA or #neuropixels in #nhp)? ❤️CA1 microcircuits? Wonder why we don’t know how they support #memory or behavior in #primates? Like inhibitory cell types? Cell Assemblies in😴?
@SAbbaspoor
Saman Abbaspoor
1 year
Excited to share that the latest @perpl_lab paper is published in @CellReports. We describe the dynamics of superficial and deep CA1 pyramidal cells and identified putative groups of inhibitory cells in freely moving, thinking, and sleeping macaques. 1/n
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@vpmurty
Vishnu Murty
1 year
We are hiring 2 RAs in the AML (now at University of Oregon) with an anticipated start date of late summer/early fall. I promise it will be a fun place to study motivation, affect, and memory! Find more info about the position in the ad below, and a link to apply in the thread.
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@SaxeLab
Andrew Saxe
1 year
Excited to share new work @icmlconf by Loek van Rossem exploring universal aspects of representation learning Why is it that large, complex models often learn similar representations? And why might these be similar to the brain? How can we understand this theoretically? (1/11)
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@rg_benoit
Roland Benoit
1 year
Turns out we learn from imagined experiences via an endogenous prediction error! Complementary behavioral, computational & neural evidence in this #preprint by awesome lab alumna @aroma_dabas, w/@rasmusbruckner & @HeidrunSchultz. https://t.co/SrkgksEdlr @MPI_CBS @CUPsychandNeuro
@aroma_dabas
Aroma Dabas
1 year
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
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@NMatorina
Nelly Matorina
1 year
I'm excited to share a new review paper with @morganbarense on the role of sleep in autobiographical memory out now in Current Sleep Medicine Reports. (1/2) https://t.co/ODE5guyRmD
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@AnnaSchapiro
Dr. Anna Schapiro
1 year
Super excited to share this one, out now in J Neuro! Memory reactivation during sleep does not act holistically on object memory. Led by the amazing @lizsiefert!!
@lizsiefert
Elizabeth Siefert
1 year
Out now in J Neurosci! Using real-time TMR, we find that sleep reactivation transforms memories, improving certain memory features at the cost of others. W/ Sindhuja Uppuluri, Jianing Mu, @MarlieTandoc, @JamesWardAntony, @AnnaSchapiro https://t.co/cpPORgUYFK
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