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

Optimal phase for central and peripheral visual detection differs within the stride cycle

Abstract. It is important to investigate perception in the context of natural behavior in order to reach a holistic account of how sensory processes are co

doi.org

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...

Aperture Neuro@apertureohbm.bsky.social · last yr.

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

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...

GitHub - brendanjohnharris/Cosyne_2025: Poster file for Cosyne 2025

Poster file for Cosyne 2025. Contribute to brendanjohnharris/Cosyne_2025 development by creating an account on GitHub.

github.com

📣🎉 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

Higher-order connectomics of human brain function reveals local topological signatures of task decoding, individual identification, and behavior - Nature Communications

Here, the authors perform a higher-order analysis of fMRI data, revealing that accounting for group interactions greatly enhances task decoding, brain fingerprinting, and brain-behavior associations c...

nature.com

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...

Tracking the distance to a critical point in noisy systems

YouTube video by Dynamics and Neural Systems

youtube.com