New work by Sam Nastase showcasing BrainIAK's ISC, ISFC, and SRM functionality. Check out the code here: github.com/snastase/conne…

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/jobs/10846/res…

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 Hasson Lab Norman Lab). Data now available on OpenNeuro.org: openneuro.org/datasets/ds002…

Excited to share the final version of our paper: BrainIAK tutorials for advanced fMRI analysis. journals.plos.org/ploscompbiol/a… Freely available tutorials Project Jupyter and datasets at brainiak.org/tutorials/. Run these on local servers or on the cloud Colaboratory BrainIAK. 1/N

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/ Dr. Anna Schapiro, Mingbo Cai 蔡明博, Jon Cohen

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 Norman Lab Hasson Lab Princeton Computer Science [1/4] biorxiv.org/cgi/content/sh…

Our paper on connectivity SRM w/ @YunFeiLiu3 Hanna Hillman Norman Lab Hasson Lab is now out in the NeuroImage 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.neur…

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/hackathon… #109 #OHBMHackathon #hub_EMEA BrainIAK

Looking forward to working with everyone at #OHBMHackathon. Learn and/or contribute to fMRI analysis techniques. All skill levels welcome, from any geographic location. BrainIAK @CameronTEllis Mihai Capota Qihong Lu | 吕其鸿 Sam Nastase Norman Lab

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. BrainIAK

Here's some #WednesdayMotivation by featuring BrainIAK. 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/brain… #neuroimaging

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 BrainIAK brainiak.org ! Same MN framework for bias-free RSA, SRM etc.

Our modeling framework for fMRI data is now available through BrainIAK. 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

New BrainIAK preprint is live! Huge team lead by Princeton Neuroscience Institute 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/brain…

Excited to share our comprehensive overview of BrainIAK: The Brain Imaging Analysis Kit osf.io/db2ev/ via Center for Open Science This work includes new example Jupyter notebooks for all methods in BrainIAK.

Excited to (finally!) share our preprint describing the "Narratives" collection—compiling 7 years worth of naturalistic story-listening fMRI datasets from Hasson Lab and Norman Lab at Princeton Neuroscience Institute: biorxiv.org/content/10.110…

I’m super excited to announce my new preprint with @lisamargulis Sam Nastase janice chen @hassonlab Norman Lab and @chrisbaldassano investigating how higher-order cortical areas represent high-level event structure in music! Paper: tinyurl.com/1d2r3phx Thread below👇🏿

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/jobs/12400/res…

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

Excited to share our work using GPT-2 to test theories of human event segmentation, w/Ariel Goldstein Sebastian Michelmann Jeff Zacks Hasson Lab Norman Lab psyarxiv.com/qd2ra via Center for Open Science 🧵 1/N