Erica Shook (@ershook) header
Erica Shook (@ershook) profile picture

Erica Shook

@ershook

cephalopod brains! PhD candidate Columbia @cu_neurotheory previous @uclcsml, @davidsonCollege, @realitylabs @MIT_cbmm, @flatironCCN

 New York, NY
axellab.columbia.edu/erica-shook
Joined September 2015
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New paper from our lab, by Jarrod Hicks. Shows that people use the statistical properties of background noise to hear concurrent “foreground” sounds. Read on for highlights (1). pnas.org/doi/10.1073/pnas.24… @ScienceMIT @mitbrainandcog @mcgovernmit @MIT_CBMM
Noise schemas aid hearing in noise | PNAS

Noise schemas aid hearing in noise | PNAS

Human hearing is robust to noise, but the basis of this robustness is poorly understood. Several lines of evidence are consistent with the idea tha...

pnas.org
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How do we sample from conditional densities with diffusion models, without estimating the exact conditional score? Check out our paper: arxiv.org/pdf/2410.11646. Joint work with @EeroSimoncelli & @StephaneMallat
Image from Zahra Kadkhodaie (@ZKadkhodaie)
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Please RT: I am looking to hire a research assistant to help recruit, schedule and run human participants in auditory perception experiments at MIT. Preferably full-time, but could be part-time. Ideal for someone looking to get more research experience in advance of grad school.
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Why does deep learning work? How do scientific experiments shed light on the inner workings of deep nets? Come to our workshop at #NeurIPS2024 if you’re interested in these questions and consider sending your work or participate in the challenge!
Scientific Methods for Understanding Deep Learning (@scifordl) profile pictureScientific Methods for Understanding Deep Learning@scifordl5 Aug 2024
📢Excited to announce the Workshop on Scientific Methods for Understanding Deep Learning #NeurIPS2024 🥳 ➡️Submission Deadline: Sep 10 ‘24 ➡️Speaker lineup: scienceofdlworkshop.github.i… ➡️Call for paper: scienceofdlworkshop.github.i… ➡️Our ✨Debunking ✨ challenge: scienceofdlworkshop.github.i…
Image from Scientific Methods for Understanding Deep Learning (@scifordl)
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SWC (@SWC_Neuro) profile picture
SWC@SWC_Neuro24 Apr 2024
“I reasoned that if an animal is camouflaging, it's basically showing you what it sees on its skin. Therefore, it could teach us about the inner workings of the brain.” Check out the full Q&A with ENSS speaker Dr @TessaMontague (@ZuckermanBrain): sainsburywellcome.org/web/qa…
Example skin patterns of dwarf cuttlefish

ALT Example skin patterns of dwarf cuttlefish

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Paul Katz (@pskatz) profile picture
Paul Katz@pskatz20 Apr 2024
We are halfway through the first ever Cephalopod Neuroscience Conference at the MBL. Over 200 participants. What an amazing expansion of new research. #cephneuro. sites.google.com/view/cephne…
Image from Paul Katz (@pskatz)
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Doctoral student Thomas Barlow uses photography to illuminate research spaces and show people what scientists do. By @avaskham and @RebeccaHorne500 thetransmitter.org/the-trans…
Image from The Transmitter (@_TheTransmitter)
Image from The Transmitter (@_TheTransmitter)
Image from The Transmitter (@_TheTransmitter)
Image from The Transmitter (@_TheTransmitter)
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There are plenty of feedback connects in visual cortex, and they contribute to so many perceptual experiences (e.g imagination, de-occlusions, hallucinations), but HOW? In a #NeurIPS2023 paper, we show alignment of the feedback and feedforward is the key! arxiv.org/abs/2310.20599
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MandanaMSRP (@MandanaMsrp) profile picture
MandanaMSRP@MandanaMsrp8 Dec 2023
Chilling out in NYC with #MSRPBio alums MAYA ⁦@MayaTaliaferro a grad student⁩ ⁦@nyuniversity⁩ & ERICA ⁦@ershook⁩ a grad student ⁦⁦@Columbia⁩ ⁦Reminiscing about the good times ⁦⁦@mitbrainandcog⁩ ⁦@MIT_CBMM⁩
Image from MandanaMSRP (@MandanaMsrp)
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Max Kozlov (@maxdkozlov) profile picture
Max Kozlov@maxdkozlov30 Nov 2023
Cuttlefish camouflage: researchers are closer than ever to understanding how the creatures pull off one of the most impressive camouflage displays in the animal kingdom. Read more in my latest for @Nature, featuring @TessaMontague: nature.com/articles/d41586-0…
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Can’t wait for ceph neuro! 🤩
Angelique Allen (@climbing_octo) profile pictureAngelique Allen@climbing_octo12 Nov 2023
How it started vs how it’s going… @ershook We unfortunately didn’t take any pictures @SfNtweets, but it’s been a blast climbing and conferencing Can we establish a better way to connect neuroscientists who climb? Messaging people you’ve never met normally doesn’t go this well
Image from Angelique Allen (@climbing_octo)
Image from Angelique Allen (@climbing_octo)
Image from Angelique Allen (@climbing_octo)
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As part of our #cephalopods special @TessaMontague introduces the spectacular color and shape shifting skills of #octopuses & #cuttlefish and their neural control cell.com/current-biology/ful…
Image from Current Biology (@CurrentBiology)
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Erica Shook retweeted
Cris Niell (@cris_niell) profile picture
Cris Niell@cris_niell23 Oct 2023
Curious about cephalopod vision? Check out our review led by Judit Pungor @traceofpink on visual processing and behavior in cephalopods @CurrentBiology. We know relatively little at the level of neural function, so there's still a lot of mysteries! doi.org/10.1016/j.cub.2023.0…
Image from Cris Niell (@cris_niell)
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Hello yellow! It's Octopodober and we have a small special issue on #cephalopods and their amazing behavior and other soft skills.🐙🐙🐙 Check it out here!👇 cell.com/current-biology/iss…
Image from Current Biology (@CurrentBiology)
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Are the invariances of artificial neural networks aligned with those of humans? Check out our paper, now out in @NatureNeuro! w/ my PhD advisor @JoshHMcDermott and collaborators @aleks_madry & @gpoleclerc. See 🧵 for highlights. nature.com/articles/s41593-0… 🧵1/N
Model metamers reveal divergent invariances between biological and artificial neural networks

Model metamers reveal divergent invariances between biological and artificial neural networks

Nature Neuroscience - The authors test artificial neural networks with stimuli whose activations are matched to those of a natural stimulus. These ‘model metamers’ are often...

nature.com
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How do the spectral properties of a model influence neural prediction benchmarks? Check out our *new* paper, “A Spectral Theory of Neural Prediction and Alignment,” accepted to #NeurIPS2023 as a spotlight! arxiv.org/abs/2309.12821 w/ @canatar_a @s_y_chung @AlbertWakhloo 🧵1/11
A Spectral Theory of Neural Prediction and Alignment

A Spectral Theory of Neural Prediction and Alignment

The representations of neural networks are often compared to those of biological systems by performing regression between the neural network responses and those measured from biological systems....

arxiv.org
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New preprint! Photocurrent artifacts are a big issue when using optogenetics to map connectivity. In this joint work with @ModLibations we show how to computationally separate artifact from signal. biorxiv.org/content/10.1101/…
Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained...

Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained...

Monosynaptic connectivity mapping is crucial for building circuit-level models of neural computation. Two-photon optogenetic stimulation, when combined with whole-cell recordings, has the potential...

biorxiv.org
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Erica Shook retweeted
Arnav Raha (@pantamallion) profile picture
Arnav Raha@pantamallion5 Jul 2023
I made some friends in the woods (also if someone can ID what I presume are insect eggs in the last photo for me that’d be cool 😊)
Wood frog sitting on my hand

ALT Wood frog sitting on my hand

Waved Sphinx month on plywood

ALT Waved Sphinx month on plywood

Red-eyed vireo chicks in nest

ALT Red-eyed vireo chicks in nest

Small green pods on stalks (presumably eggs) descending from a conifer branch

ALT Small green pods on stalks (presumably eggs) descending from a conifer branch

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A second is on cuttlefish camouflage, where we used machine learning approaches revealed a space of camouflage patterns and pattern dynamics much richer than expected, likely involving iterative visual refinement. rdcu.be/dfA6D
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At #cosyne2023? Stop by poster #42 tonight to chat about model metamers and how they relate to other metrics of brain-model comparison! @JoshHMcDermott Virtual poster: world-wide.org/cosyne-23/mod… And (recently updated) preprint: biorxiv.org/content/10.1101/…
Image from Jenelle Feather (@jenellefeather)
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