This study looks great - this issue has finally been getting the attention it deserves - if network architecture is ‘intrinsic’ it should say something about connectivity across tasks …
NIH is requesting comments on a new draft policy that may require human brain imaging data (and other data) from nih-funded research to only be shared via controlled access, & only with certain countries. I suggest neuroimagers read closely & submit comments by 3/18.
osp.od.nih.gov/comment-form...
In his new book, “The Laws of Thought,” Tom Griffiths @cocoscilab.bsky.social shows how symbolic logic, probability theory and neural networks, when used together, are enough to explain how mind and brain work via “laws of thought.”
#neuroskyence
www.thetransmitter.org/brain-inspir...
Inner Speech and Borderline Personality Disorder: https://doi.org/10.31234/osf.io/gcp9h_v1
Back translation of value-modulated attentional capture from humans to mice (experiment 1) and rats (Experiment 2). Very nice work by @bradfield-neuro.bsky.social et al.
psycnet.apa.org/fulltext/202...
Check out our new preprint!
We directly tested a common assumption in neuroimaging:
Is resting-state the best estimate of intrinsic organization?
Spoiler: Across datasets and brain systems, multi-task fMRI did better.
👇
I - and seemingly everyone else in psychiatry research - keep getting these emails from someone absolutely convinced that we are all idiots and they have solved all mental illness with a cocktail of supplements, and gloating about it.
Habit and the hippocampus: Model-based spatial representations without outcome-sensitive control https://www.biorxiv.org/content/10.64898/2026.03.06.710211v1
Thank you! I am going to Hakodate to see the monkeys that hang in the hot springs
New paper hot off the (pre-)press! We dig into the evolutionary origins of neural computations for behavioral control across mice, monkeys, and humans: www.biorxiv.org/content/10.6....
As our lab's first foray into comparative analysis of neural dynamics, I’m super excited about this work! 1/18
Leaving on mine tomorrow
‘Hey’ came before ‘hi,’ and ‘hi' came before ‘hello.’
‘Hi’ is most likely a variant of ‘hey.’
‘Hello’ is not related to either.
Goodbye.
Multi-task fMRI outperforms resting-state fMRI for revealing task-invariant organization of the human brain https://www.biorxiv.org/content/10.64898/2026.03.09.710558v1
“Area 10m is the only common ‘driver’ of both pgACC and sgACC”
New connectomic scale understanding of ACC from Daulton Myers and Julie Fudge. #mustread #neuroskyence
www.biorxiv.org/content/10.6...
I can't compete with this.
Sycophantic AI distorts reality by returning responses that are biased to reinforce existing beliefs.
"sycophantic AI distorts belief, manufacturing certainty where there should be doubt."
Unbiased sampling produces discovery rates 5X higher! arxiv.org/pdf/2602.14270
Check out our latest research drop! We show BLA dopamine signaling encodes the emotional weight of sensory transitions, but not the associative strength or value of stimuli. These signals dynamically rescale when the learning context changes: "this matters most!" www.biorxiv.org/content/10.1...
#JNeurosci: Carvalheiro et al performed 3 studies exploring the relationship between punishments & money-related reward learning in a gambling task, finding punishments may promote reward learning by targeting activity in a reward-related brain area https://doi.org/10.1523/JNEUROSCI.1631-25.2026
I disagree ;-)
Integrating Causal Inference with Digital Twin Modeling for Individualized Mental Health Research: https://osf.io/m78jz
IMO there’s more theory in neuroscience than we give it credit for, but it doesn’t percolate through the field as much as you would hope/need for broader understanding.
I could really use a webinar about work-life balance right now - that would fix me
So sorry for your loss Mark
@nicolecrust.bsky.social 👇
Thrilled that this first empirical paper out of the lab is posted, led by Sandarsh Pandey, asking:
Depression (and other internalizing disorders) involve profound changes to sense of self. How can we study these differences using rigorous decision-making methods?
(alt link: tinyurl.com/2kk59dje)
How are neural manifolds and single-neuron response properties related to circuit structure?
How degenerate are these relationships?
Theory and a plethora of examples can be found in the following paper, out today in Neuron 🌟
It was a privilege to co-supervise first author @lpezon.bsky.social!
It actually looks like the Erowid site - or at least, that’s what it looked like last time I was there 20 years ago :-)
A screenshot of the article title: Reframing oxytocin as a behavioral flexibility hormone
Scientific claims in biobehavioral oxytocin research are dependent on a “derivation chain”. Theoretical models are the beginning of this chain, which are dependent on a theoretical core supported by auxiliary hypotheses. Efforts to improve biobehavioral oxytocin research have tended to focus on auxiliary hypotheses related to experimental models (e.g., improving oxytocin delivery to the brain, polygenic approaches for genetics studies), and statistical auxiliary hypothesis (e.g., appropriate sample sizes for research). However, even if these issues are addressed, a poorly specified theoretical core (and associated auxiliary hypothesis) can lead to unreliable scientific claims
Oxytocin is typically described as a "social" hormone. In our new article, we propose that it should instead be viewed a hormone that modulates behavioral flexibility
doi.org/10.1016/j.ne...
it's out!
@hazimi.bsky.social and i explore how higher order representations of *one's own first-order representational uncertainty* -- not representations OF noisiness in the world -- can be studied, including how they are constructed in the first place.
philosophymindscience.org/index.php/ph...
