@UseBrainIAK

Brain Imaging Analysis Kit (a.k.a. BrainIAK). Advanced fMRI analyses in Python, optimized for speed under the hood with MPI, Cython, and C++.

 Hillsboro, OR / Princeton, NJ
brainiak.org
Joined April 2019
  • Tweets33
  • Following27
  • Followers168
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Excited to share our work using GPT-2 to test theories of human event segmentation, w/@GoldsteinYAriel @s_michelmann Jeff Zacks @HassonLab @ptoncompmemlab psyarxiv.com/qd2ra via @OSFramework 🧵 1/N

Bayesian Surprise Predicts Human Event Segmentation in Story Listening

Event segmentation theory posits that people segment continuous experience into discrete events, and that event boundaries occur when there are large transient increases in prediction error. Here, we...

osf.io
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Now in print! Neural fingerprints of Computer Science curriculum in student brains track learning and predict exam scores, revealing a “central limit theorem” of knowledge rdcu.be/chxfg
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We're looking for a research specialist! This is a great opportunity for someone to get more research experience before graduate school. Please apply! research-princeton.icims.com…
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I’m super excited to announce my new preprint with @lisamargulis @samnastase @kanileke @hassonlab @ptoncompmemlab and @chrisbaldassano investigating how higher-order cortical areas represent high-level event structure in music! Paper: tinyurl.com/1d2r3phx Thread below👇🏿
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Excited to (finally!) share our preprint describing the "Narratives" collection—compiling 7 years worth of naturalistic story-listening fMRI datasets from @HassonLab and @ptoncompmemlab at @PrincetonNeuro: biorxiv.org/content/10.1101/…
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Excited to share our comprehensive overview of BrainIAK: The Brain Imaging Analysis Kit osf.io/db2ev/ via @OSFramework This work includes new example Jupyter notebooks for all methods in BrainIAK.
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New @UseBrainIAK preprint is live! Huge team lead by @PrincetonNeuro and @IntelAIResearch. The paper summarizes the key functions in our Python toolbox along with links to a set of really cool demo notebooks. Preprint: osf.io/db2ev/ Code + Data: github.com/brainiak/brainiak…
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Our modeling framework for fMRI data is now available through @UseBrainIAK. The main idea is that we formalize a host of fMRI analysis techniques into a single generative model that is essentially a matrix factorization problem. 1/2
Adam Charles@BaselessPursuit14 Oct 2020
Code from 2018 AISTATS paper "Matrix-normal models for fMRI analysis" w/ Michael Shvartsman Narayanan Sundaram, @mikio_aoi , Ted Wilke & Jon Cohen is now merged into BrainIAK @UseBrainIAK brainiak.org ! Same MN framework for bias-free RSA, SRM etc.
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Code from 2018 AISTATS paper "Matrix-normal models for fMRI analysis" w/ Michael Shvartsman Narayanan Sundaram, @mikio_aoi , Ted Wilke & Jon Cohen is now merged into BrainIAK @UseBrainIAK brainiak.org ! Same MN framework for bias-free RSA, SRM etc.
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Here's some #WednesdayMotivation by featuring @UseBrainIAK. The Brain Imaging Analysis Kit is a package of Python modules useful for neuroscience, primarily focused on functional Magnetic Resonance Imaging (fMRI) analysis. nitrc.org/projects/brainiak #neuroimaging
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Want a hands-on introduction to decoding, RSA, and more advanced fMRI analyses, with ready-to-use datasets, open source and free? Come to our poster #1046 at #OHBM2020. @UseBrainIAK
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Looking forward to working with everyone at #OHBMHackathon. Learn and/or contribute to fMRI analysis techniques. All skill levels welcome, from any geographic location. @UseBrainIAK @CameronTEllis Mihai Capota @Qihong_Lu @samnastase @ptoncompmemlab
OHBM Open Science Special Interest Group (OS-SIG)@OhbmOpen11 Jun 2020
New #OHBM2020 #Brainhack project submitted! 👩🏽‍💻 Learn and Enhance BrainIAK Tutorials: From Basics to Advanced fMRI Analyses. Wanna help people learn fMRI analyses & enhance BrainIAK Tutorials? Join this project! github.com/ohbm/hackathon202… #109 #OHBMHackathon #hub_EMEA @UseBrainIAK
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New #OHBM2020 #Brainhack project submitted! 👩🏽‍💻 Learn and Enhance BrainIAK Tutorials: From Basics to Advanced fMRI Analyses. Wanna help people learn fMRI analyses & enhance BrainIAK Tutorials? Join this project! github.com/ohbm/hackathon202… #109 #OHBMHackathon #hub_EMEA @UseBrainIAK
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Our paper on connectivity SRM w/ @YunFeiLiu3 @hannahillman @ptoncompmemlab @HassonLab is now out in the @NeuroImage_EiC special issue on naturalistic imaging. We use cSRM to estimate a single shared response space across 10 story-listening fMRI datasets. doi.org/10.1016/j.neuroimage…
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New preprint! In "Think like an expert", we measure understanding in student 🧠 and use it to predict and assess learning outcomes in a STEM course. The good news? Classmates are guide to success! With @ptoncompmemlab @HassonLab @PrincetonCS [1/4] biorxiv.org/cgi/content/shor…
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Back in 2016 @CameronTEllis and I were frustrated that there was no easy way to simulate realistic fMRI data with python. The tool that Cameron put together is now a fully-featured package, paper out today! peerj.com/articles/8564/ w/ @AnnaSchapiro, @mingbocai, Jon Cohen

Facilitating open-science with realistic fMRI simulation: validation and application

With advances in methods for collecting and analyzing fMRI data, there is a concurrent need to understand how to reliably evaluate and optimally use these methods. Simulations of fMRI data can aid in...

peerj.com
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Excited to share the final version of our paper: BrainIAK tutorials for advanced fMRI analysis. journals.plos.org/ploscompbi… Freely available tutorials @ProjectJupyter and datasets at brainiak.org/tutorials/. Run these on local servers or on the cloud @GoogleColab @UseBrainIAK. 1/N

BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis

Author summary The analysis of brain activity, as measured using functional magnetic resonance imaging (fMRI), has led to significant discoveries about how the brain processes information and how...

journals.plos.org
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In case you missed my talk at #SfN19: We're rolling out the "Narratives" collection with fMRI data for 300+ subjects listening to 20+ naturalistic spoken stories (750+ functional scans from @HassonLab @ptoncompmemlab). Data now available on @OpenNeuroOrg: openneuro.org/datasets/ds002…
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Hasson Lab is seeking a skilled research programmer to join a project aiming to develop machine learning methods for understanding how language is encoded in "big data" neural activity patterns (i.e., large volumes of ECoG data): main-princeton.icims.com/job…
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New work by @samnastase showcasing BrainIAK's ISC, ISFC, and SRM functionality. Check out the code here: github.com/snastase/connecti…

GitHub - snastase/connectivity-srm: Connectivity-based shared response model

Connectivity-based shared response model. Contribute to snastase/connectivity-srm development by creating an account on GitHub.

github.com
Sam Nastase@samnastase22 Aug 2019
New preprint w/ @HassonLab @ptoncompmemlab! We use connectivity SRM to estimate a single shared response space across 10 story-listening datasets (different subjects and stimuli)—dramatically increases dimensionality of shared information across subjects: doi.org/10.1101/741975
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