How does the visual cortex coordinate neural activity over spatial and temporal scales? We found broad θ waves organize local γ bursts and spiking, forming a flexible spatiotemporal code to multiplex feedforward/feedback signals. Now out in full @natcomms.nature.com: doi.org/10.1038/s414... 🧵

New preprint! (by Kieran Owens) Of interest to anyone who analyzes time-series data!: "Time-series dimension reduction: a comprehensive review and conceptual unification of algorithms" www.techrxiv.org/users/999518... #timeseries #dimensionreduction #complexsystems

New preprint: "Identifying statistical indicators of temporal asymmetry using a data-driven approach" arxiv.org/abs/2511.15991 _Can we statistically distinguish the forward- versus reverse-time dynamics of a system from a finite time series?_

📝 New Paper! 📝 We expanded on the perceptual oscillations found across the stride-cycle by comparing central and peripheral vision. Spoiler Alert: There's phase and amplitude difference between the visual fields! doi.org/10.1093/pnas... Authors: me, @mattjdavidson.bsky.social, and David Alais

New paper! We introduce an efficient set of statistical features for fMRI time series (calibrated on mouse manipulation experiments and tested on mouse and human data): catchaMouse16. Paper: doi.org/10.52294/001... Code (python/Matlab/C): github.com/DynamicsAndN...

Alam et al. develop a canonical time-series feature set for characterizing biologically informative dynamical patterns in fMRI: doi.org/10.52294/001... @bendfulcher.bsky.social @fmri-today.bsky.social @mallarchak.bsky.social @ohbmofficial.bsky.social

New preprint! Why are long-range connectomic interactions in the cortex dominant in shaping dynamics in some experiments but apparently negligible in others? We (w/ R Maran, @elimuller.bsky.social) address this question by studying a new hybrid model of cortical dynamics. arxiv.org/abs/2506.19800

@christopherjwhyte.bsky.social and I introduce a novel data-driven framework to evaluate >200 connectivity-based neural correlates of consciousness! Results are used to quantitatively compare predictions from neurodynamical models tailored to theoretic predictions. www.biorxiv.org/content/10.1...

Can't wait for #cosyne2025, starting tomorrow! Our paper (with Leonardo Gollo and @bendfulcher.bsky.social) will be on display at poster [1-117] Stop by 8pm to 11pm tomorrow and hear about our new method for detecting criticality in noisy systems like the brain!

Going to #cosyne2025? Wondering whether higher cortical regions are closer to a critical point? Stop by poster [1-117] on the 27th March to chat about detecting #criticality in noisy systems like the #brain! Poster and related links are up now at: github.com/brendanjohnh...

📣🎉 Excited to share work co-led with @aditijh.bsky.social, developing a data-driven selection technique for overlapping community detection algorithms, applied to the human structural connectome! 📣🎉 www.biorxiv.org/content/10.1...

Really happy to share that our latest work on "Higher order connectomics of human brain function" is now out in NatComms @naturecomms.bsky.social. One of the most fun projects that I've worked on! Big thanks to the friends involved F Battiston, M Lucas, @lordgrilo.bsky.social, E Amico doi.org/nt34

We're attempting to make short explainer videos to accompany our main published research papers. Here is the first, by Brendan, on our recent paper on tracking the distance to a critical point from a noisy time series. #criticality #complexsystems www.youtube.com/watch?v=4_rI...