The CDL helped educate the neuroscience-enthusiast masses by presenting four posters at this year’s SfN annual meeting. We also helped support the local economy by sampling some of Chicago’s dining establishments. Go us! Read More
We are thrilled to announce our new Python "Timecorr" toolbox for inferring dynamic high-order correlations in multivariate timeseries data. Check out the toolbox here, or our preprint here! Read More
We are excited to welcome Caroline Lee to the Contextual Dynamics Lab and the 2019 graduate student class at Dartmouth!
[READ CAROLINE'S BIO] Read More
We are excited to announce our awesome new lab manager: Paxton Fitzpatrick! Paxton is an old hand in the lab, having risen up through our ranks as an undergraduate research assistant. We are thrilled that he has decided to stay on in the lab and continue helping us to achieve our best science!
[READ PAXTON'S BIO] Read More
We're looking for a new lab manager! Read on for details... Read More
Our HyperTools Python package for gaining geometric insights into high dimensional data is in the news! Press release here; download here. Read More
We are excited to announce our new Python "SuperEEG" toolbox for inferring whole-brain activity from a small(ish) number of ECoG electrodes. Check it out here! Read More
Our Storytelling with Data course provides practical tools for wrangling, analyzing, and interpreting patterns in real-world data. This year, as part of the Social Impact Practicum program at Dartmouth, we partnered with local community organizations to help them gain data-driven insights into their thorniest problems! Link to video: [YouTube] Read More
We are thrilled to announce a double release of some awesome new science tools, targeted at memory enthusiasts and researchers. The Quail toolbox is aimed at analyzing and visualizing data from memory experiments. The AutoFR toolbox provides a framework for developing list learning experiments on Amazon Mechanical Turk that automatically transcribe spoken recalls into text.
We've also published papers on these toolboxes: [QUAIL PAPER] [AUTOFR PAPER] Read More
CDL graduate student Kirsten Ziman, together with Soltani Lab graduate student Mohsen Rakhshan, visited the Frances C. Richmond Middle School to tell the children about attention and memory. Read More
We are excited to announce our awesome new lab manager: Emily Whitaker! Hailing from New Jersey, Emily has elected to leave the comforts of suburban life behind in favor of an exciting life in the wilderness of Hanover, New Hampshire. Welcome to the CDL team!
[READ EMILY'S BIO] Read More
After enduring just over a year as our esteemed lab manager, Kirsten has decided to tempt fate by spending the next half-decade of her life in the CDL, toiling away in the name of science. Welcome, Kirsten!
[READ KIRSTEN'S BIO] Read More
Undergraduate researchers Maddy Lee and Marisol Tracy (with support from Kirsten Ziman and Andy Heusser) presented their awesome work at the 2017 Wetterhahn Science Symposium. Go team science! Read More
We're looking for a new lab manager! Intrigued? Read on... Read More
Our very own Kirsten Ziman went out into the "real world" to share her brain science knowledge with the broader community at the 5th Annual Upper Valley Brain Bee. Brains were recorded, knowledge was transmitted, and science was done-- a success by any measure! Read More
Our HyperTools package for visualizing and manipulating high-dimensional datasets is featured on Kaggle's blog!
[GitHub] Read More
Do you think dynamic brain and social networks are awesome? Us too! Come learn about how to quantify and study them with us at Dartmouth this summer! Click here for more info. Read More
We've released an awesome new toolbox for visualizing and manipulating high-dimensional data. It's free! It's fun! It's easy! What could be better? Check it out on GitHub! Read More
Thanks to everyone who participated in our first OpenBCI hackathon! Our code may be downloaded here. Read More
The Contextual Dynamics Lab and 13 of our buddy-labs are banding together to discover the neural basis of attention. TL;DR: we're going to solve the brain, consciousness, etc., and we want you to join our team as a graduate student! We're hiring a total of 15 students, and you'll work together and be co-mentored by the 14 faculty leaders of our team. Read More