Excited to share the first in our series of papers using hypothesis-driven analyses to identify reproducible, verifiable biomarkers of chronic pain. We validated findings across three cohorts (N=197).
#PainResearch
#ML
#AI
We employed Switching Linear Dynamical Systems to investigate the dynamics of resting-state networks
They are dynamic, not static!
Work with Xiaoyu Zhao with lots of new methods.
Thread.
#neuroskyence
www.biorxiv.org/content/10.6...
We employed Switching Linear Dynamical Systems to investigate the dynamics of resting-state networks
They are dynamic, not static!
Work with Xiaoyu Zhao with lots of new methods.
Thread.
#neuroskyence
www.biorxiv.org/content/10.6...
—Slavoj Zizek
Photo: Andy Miah | #SlavojZizek #literature #quotes #fblifestyle #philosophy
—Slavoj Zizek
Photo: Andy Miah | #SlavojZizek #literature #quotes #fblifestyle #philosophy
for cognition?**
That goes to the top of the list!
#neuroskyence
doi.org/10.1038/s415...
for cognition?**
That goes to the top of the list!
#neuroskyence
doi.org/10.1038/s415...
Discusses how more standard network models miss key points of brain complexity. And some more radical points at the end.
Wrote paper having in mind younger researchers more open to new ideas :-)
#neuroskyence
doi.org/10.1016/j.pl...
Is Pearson’s correlation coefficient enough for functional connectivity in fMRI?
doi.org/10.1162/IMAG...
Is Pearson’s correlation coefficient enough for functional connectivity in fMRI?
doi.org/10.1162/IMAG...
—Jack Kerouac
—Jack Kerouac
Computational modeling of error patterns during reward-based learning show evidence that habit learning (value free!) supplements working memory in 7 human data sets.
rdcu.be/eQjLN
Computational modeling of error patterns during reward-based learning show evidence that habit learning (value free!) supplements working memory in 7 human data sets.
rdcu.be/eQjLN
In our latest paper, we take a data-driven approach to help answer this.
doi.org/10.1111/psyp...
1/
In our latest paper, we take a data-driven approach to help answer this.
doi.org/10.1111/psyp...
1/
We. The. People.
That’s mighty nice.
We. The. People.
That’s mighty nice.
Excited to share the first in our series of papers using hypothesis-driven analyses to identify reproducible, verifiable biomarkers of chronic pain. We validated findings across three cohorts (N=197).
#PainResearch
#ML
#AI
Excited to share the first in our series of papers using hypothesis-driven analyses to identify reproducible, verifiable biomarkers of chronic pain. We validated findings across three cohorts (N=197).
#PainResearch
#ML
#AI
Excited to share my latest work with @andpru.bsky.social – where we establish that sensory expectations shape neural population dynamics in motor circuits!
🧵 and paper below
1/
Excited to share my latest work with @andpru.bsky.social – where we establish that sensory expectations shape neural population dynamics in motor circuits!
🧵 and paper below
1/
“Let Them Eat Large Language Models: Artificial Intelligence and Austerity in the Neoliberal University”