Very neat analysis of how faster learners have a higher dimensional space of neural activation patterns for the task, while also maintaining a lower dimensional ambient space in which to search for features. Details here: ​https://arxiv.org/abs/1709.10045

Congrats to Ann and collaborators on the cool new paper (arXiv:1709.00133 [q-bio.NC]) applying  persistent homology of node-filtered complexes to the study of early childhood language acquisition. 

Congrats to Evelyn Tang on her excellent paper and all of the hard work that went into it!

Ann's second paper, "Cliques and cavities in the human connectome" isn't even out of review yet, and it's already caught the eye of a number of people in the community. MIT Technology Review discusses it here, and The Intrepid Mathematician gives a more technical overview here.

Happy to report that my first granular materials paper, "Topological and geometric measurements of force chain structure" will be appearing in Physical Review E. Thanks to all my collaborators for their hard work (and data)!

Orders of magnitude faster than the competition, and it'll give you generators! Located here.

Our review/opinion piece on the role of algebraic topology in neuroscience, "Two's company, three (or more) is a simplex", has been accepted to appear in the Journal of Computational neuroscience!

Ann's first paper, "Classification of weighted networks through mesoscale homological features", has been accepted to appear in the Journal of Complex Networks. Congratulations, Ann!

The Warren Center Workshop on Algebraic and Topological Methods for Biological Networks was a huge success. Thanks to all of our speakers and attendees for your participation, and to the folks at the Warren Center (especially Cheryl) for the opportunity to make it happen!

Kevin Knudson has written a very nice summary of our recent PNAS paper in his column for Forbes Magazine. Check it out!