Ben Fulcher

@bendfulcher

I lead the Dynamics and Neural Systems Group @sydney_physics Use physics/stats to understand dynamics of complex neural systems
@bendfulcher@fediscience.org

Sydney, New South Wales benfulcher.com Joined June 2009

1.3K Following 2.5K Followers 3K Posts

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Ben Fulcher @bendfulcher Nov 21, 2025

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?_ 👇

Ben Fulcher @bendfulcher Aug 11, 2025

Are you interested in our work on complex physical systems and applications (to neural systems)?

Wanna join us in Sydney? 🐨 🦘

We have two open positions:

1. Postdoc position: usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_…

2. Fully-funded PhD position: sydney.edu.au/scholarships/d…

Ben Fulcher @bendfulcher Jul 15, 2025

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/10.52294/001c.…
Code: github.com/DynamicsAndNeu…

ApertureNeuro @ApertureOHBM Jul 15, 2025

Alam et al. develop a canonical time-series feature set for characterizing biologically informative dynamical patterns in fMRI: doi.org/10.52294/001c.…

@bendfulcher @fMRI_today @mallarchkrvrty1 @OHBM

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Ben Fulcher @bendfulcher Jul 1, 2025

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/ Rishi M, @eli_j_muller) address this by studying a new hybrid model of cortical dynamics.
arxiv.org/abs/2506.19800

Ben Fulcher @bendfulcher May 21, 2025

Stunning work beautifully presented

William Gilpin @wgilpin0 May 21, 2025

We present Panda: a foundation model for nonlinear dynamics pretrained on 20,000 chaotic ODE discovered via evolutionary search. Panda zero-shot forecasts unseen ODE best-in-class, and can forecast PDE despite having never seen them during training (1/8)
arxiv.org/abs/2505.13755

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