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Followers
343
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor bendfulcher
Known for
8 views
New #complexsystems paper published today!
We compared over 230 pairwise dependence measures on >1000 multivariate time series.
"Unifying pairwise interactions in complex dynamics".
(Nat Comp Sci published version): https://www.nature.com/articles/s43588-023-00519-x
(open version as arXiv preprint): https://arxiv.org/abs/2201.11941
(GitHub code): https://github.com/DynamicsAndNeuralSystems/pyspi
7 views
New preprint:
"On the information-theoretic formulation of network participation".
We develop on an information theoretic formulation of nodal
connection diversity.
https://arxiv.org/abs/2307.12556
#networks #complexsystems
5 views
Latest preprint
https://www.biorxiv.org/content/10.1101/2024.01.10.573372v1
Multivariate time series are studied across neuroimaging (fMRI, MEG, …) but how can we best extract the most relevant dynamical patterns in a given dataset? FC (Pearson or alternative)? Local dynamics (fALFF or alternative)? Both??
Annie has developed a systematic way to quantify different types of local dynamical struct
4 views
New preprint!:
"Tracking the distance to criticality in systems with unknown noise"
By Brendan Harris, w/ Leonardo Gollo.
We identify new, noise-robust time-series features for tracking the distance to criticality.
Paper: arxiv.org/abs/2310.14791
Code: https://github.com/brendanjohnharris/Criticality
#ComplexSystems #TImeSeries #Criticality
📊 Post engagement
Recent posts · likes + reposts
May 9latest
4
Avg engagement / post
1–7
Typical post (engagement)
1.2%
Engagement vs followers
65/100
Consistent reach
Nov 2022
On Mastodon since
Half of recent posts land between 1 and 7 likes + reposts (median 4) — a dependable floor a sponsored post can count on.
🔥 Top post: New #complexsystems paper published today! We compared over 230 · 8 likes + reposts
📊 Activity & format
Posting cadence
0.12 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 4 text · 8 image · 0 video.
Follower / following
1.5×
Follows 226 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
🔥 Top post
New #complexsystems paper published today!
We compared over 230 pairwise dependence measures on >1000 multivariate time series.
"Unifying pairwise interactions in complex dynamics".
(Nat Comp Sci published version): https://www.nature.com/articles/s43588-023-00519-x
(open versio…
An opportunity to *join our group* as a postdoc researcher analyzing complex physical systems, and the time-varying data they produce (with applications to sleep)!
Join us on a great campus in a beautiful city!
Please share 🙂
https://usyd.…
Latest preprint: "Parameter Inference from a Non-stationary Unknown Process" (PINUP)
We unify a previously disjoint literature on algorithms for this important problem and introduce new benchmarking results.
https://arxiv.org/abs/2407.0898…
Latest preprint
https://www.biorxiv.org/content/10.1101/2024.01.10.573372v1
Multivariate time series are studied across neuroimaging (fMRI, MEG, …) but how can we best extract the most relevant dynamical patterns in a given dataset? FC (…
Will be hosting Marija Markicevic
to speak on "Neuromodulation of striatal D1 cells shapes BOLD fluctuations in anatomically connected thalamic and cortical regions" on Jan 19.
If you're interested to join online, details (and local timez…
New preprint!:
"Tracking the distance to criticality in systems with unknown noise"
By Brendan Harris, w/ Leonardo Gollo.
We identify new, noise-robust time-series features for tracking the distance to criticality.
Paper: arxiv.org/abs/231…
State estimation of a physical system with unknown governing equations | Nature
"We present a reparametrization trick for stochastic variational inference with Markov Gaussian processes that enables an approximate Bayesian approach for sta…
In Pang et al. (2023), Nature, we demonstrated the explanatory power of the highly simplified assumptions of neural field theory for capturing whole-brain dynamical patterns.
Our response to a critique of our work is now out on bioRxiv:
ht…
New *continuing* faculty position in the physics of complex systems at @sydney_physics @Sydney_Science. It's a great environment with great colleagues (including me!) and a very competitive salary and benefits.
Please boost! 🤓😀
#complexsys…
New preprint:
"On the information-theoretic formulation of network participation".
We develop on an information theoretic formulation of nodal
connection diversity.
https://arxiv.org/abs/2307.12556
#networks #complexsystems
How far can we get by ignoring heterogeneous, long-range brain connectivity (the 'connectome') and instead treating brain dynamics as evolving according to isotropic, homogeneous neural field equations (~like waves across a surface of wate…
I've finally made it! My CV could soon include being an editoral board member for "Nature Cell and Science". A couple of cheeky commas could do some serious work here…
Latest preprint: "Parameter Inference from a Non-stationary Unknown Process" (PINUP)
We unify a previously disjoint literature on algorithms for this important problem and introduce new benchmarking results.
https://arxiv.org/abs/2407.0898…
Latest preprint
https://www.biorxiv.org/content/10.1101/2024.01.10.573372v1
Multivariate time series are studied across neuroimaging (fMRI, MEG, …) but how can we best extract the most relevant dynamical patterns in a given dataset? FC (…
Will be hosting Marija Markicevic
to speak on "Neuromodulation of striatal D1 cells shapes BOLD fluctuations in anatomically connected thalamic and cortical regions" on Jan 19.
If you're interested to join online, details (and local timez…
New preprint!:
"Tracking the distance to criticality in systems with unknown noise"
By Brendan Harris, w/ Leonardo Gollo.
We identify new, noise-robust time-series features for tracking the distance to criticality.
Paper: arxiv.org/abs/231…
State estimation of a physical system with unknown governing equations | Nature
"We present a reparametrization trick for stochastic variational inference with Markov Gaussian processes that enables an approximate Bayesian approach for sta…
In Pang et al. (2023), Nature, we demonstrated the explanatory power of the highly simplified assumptions of neural field theory for capturing whole-brain dynamical patterns.
Our response to a critique of our work is now out on bioRxiv:
ht…
New *continuing* faculty position in the physics of complex systems at @sydney_physics @Sydney_Science. It's a great environment with great colleagues (including me!) and a very competitive salary and benefits.
Please boost! 🤓😀
#complexsys…
New preprint:
"On the information-theoretic formulation of network participation".
We develop on an information theoretic formulation of nodal
connection diversity.
https://arxiv.org/abs/2307.12556
#networks #complexsystems
How far can we get by ignoring heterogeneous, long-range brain connectivity (the 'connectome') and instead treating brain dynamics as evolving according to isotropic, homogeneous neural field equations (~like waves across a surface of wate…
I've finally made it! My CV could soon include being an editoral board member for "Nature Cell and Science". A couple of cheeky commas could do some serious work here…
🐘 Community & instance
Home server
fediscience.org
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 4 views per post.
📤Posts about 0.1× per week.
🕵️ Fake follower check
Estimated43/100
Fair
Credibility score
73%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 73% real, active audience · Medium fake-follower risk.
- Low engagement (~1.2% of followers engage each post) — a sign of an inflated or inactive audience.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
I lead the Dynamics and Neural Systems Lab in the School of Physics at The University of Sydney. We use physical and statistical methods to understand the dynamics of #ComplexSystems (like brains).
@bendfulcher on Twitter.
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