Hammed O. Fatoyinbo
@hamfatf.bsky.social
Mathematics Lecturer @AUT NZ
Pinned
Publication alert w@indraghosh.bsky.social
Time series analysis of coupled slow–fast neuron models: From Hurst exponent to Granger causality pubs.aip.org/aip/cha/arti...
Time series analysis of coupled slow–fast neuron models: From Hurst exponent to Granger causality pubs.aip.org/aip/cha/arti...
Time series analysis of coupled slow–fast neuron models: From Hurst exponent to Granger causality
We perform time series analysis of small networks where every node is the slow–fast version of the denatured Morris–Lecar neuron proposed by Schaeffer and Cain.
pubs.aip.org
October 21, 2025 at 6:38 PM
Publication alert w@indraghosh.bsky.social
Time series analysis of coupled slow–fast neuron models: From Hurst exponent to Granger causality pubs.aip.org/aip/cha/arti...
Time series analysis of coupled slow–fast neuron models: From Hurst exponent to Granger causality pubs.aip.org/aip/cha/arti...
A few days ago, I had the privilege of presenting our research on Avian Influenza during AUT Research Week,
I introduced the audience to what I call #Numeric_Islands different perspectives that help us understand the transmission dynamics of HPAI
I introduced the audience to what I call #Numeric_Islands different perspectives that help us understand the transmission dynamics of HPAI
September 29, 2025 at 2:25 AM
A few days ago, I had the privilege of presenting our research on Avian Influenza during AUT Research Week,
I introduced the audience to what I call #Numeric_Islands different perspectives that help us understand the transmission dynamics of HPAI
I introduced the audience to what I call #Numeric_Islands different perspectives that help us understand the transmission dynamics of HPAI
Reposted by Hammed O. Fatoyinbo
🧠⚡️Brain stimulation is powerful, yet its effects are notoriously variable: identical parameters can produce very different outcomes. In our new preprint, we show how the brain’s state before stimulation helps explain and reduce this variability. 🧵1/n
doi.org/10.1101/2025...
doi.org/10.1101/2025...
Pre-stimulus Brain States Predict and Control Variability in Stimulation Responses
Does the ongoing brain state determine how it responds to localized electrical stimulation? This fundamental question has major implications for neuroscience and medicine, as stimulation outcomes rema...
doi.org
September 22, 2025 at 9:03 AM
🧠⚡️Brain stimulation is powerful, yet its effects are notoriously variable: identical parameters can produce very different outcomes. In our new preprint, we show how the brain’s state before stimulation helps explain and reduce this variability. 🧵1/n
doi.org/10.1101/2025...
doi.org/10.1101/2025...
Multivariable analysis of highly pathogenic H5N1 and H5Nx avian influenza in wild birds and poultry in Asian subregions
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
September 20, 2025 at 10:32 AM
Multivariable analysis of highly pathogenic H5N1 and H5Nx avian influenza in wild birds and poultry in Asian subregions
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
International Visitor Program @sydmathinst.bsky.social
mathematical-research-institute.sydney.edu.au/internationa...
mathematical-research-institute.sydney.edu.au/internationa...
International Visitor Program - Sydney Mathematical Research Institute
IVP August 2023 applications are due 8 August 2023, for July 2024–June 2025 visits (general applicants) & March 2024–June 2025 for Australian citizens/PR & NZ citizens.
mathematical-research-institute.sydney.edu.au
September 20, 2025 at 10:25 AM
International Visitor Program @sydmathinst.bsky.social
mathematical-research-institute.sydney.edu.au/internationa...
mathematical-research-institute.sydney.edu.au/internationa...