How Congress can restore the independence of US science
www.nature.com/articles/d41...
Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks
www.jneurosci.org/content/46/9...
#neuroscience
Creating oscillatory dynamics.
Recurrent cortical networks encode natural sensory statistics via sequence filtering
www.cell.com/neuron/abstr...
#neuroscience
Researchers at Notre Dame suggest that intelligence doesn’t live in one “smart” region of the brain at all. Instead, it emerges from how efficiently & flexibly the brain’s many networks communicate & coordinate with each other.
#NeuroSkyence
www.sciencedaily.com/releases/202...
And don't forget: 3. The more critical you are, the more careful you must be. Before writing a negative review, re-read the manuscript, double-check the literature, and be certain. If you are going to be negative, be sure.
According to Principles for Proper Peer Review, if there are no major flaws and the data support the conclusions, reviewers should: 1. Be constructive. 2. Review the paper in front of them. Don’t try to write the paper for the authors.
jocnf.pubpub.org/pub/qag76ip8...
More people should have your attitude.
Cognitive control networks in human and macaque
doi.org/10.64898/202...
#neuroscience
Or worse: Here's what I would do if I had this data. I refer to points #4 and #5 in Principles for Proper Peer Review:
4. Don’t write the paper for the authors
5. Respect the authors’ time and effort
jocnf.pubpub.org/pub/qag76ip8...
Peer review would be easier if we stopped treating it like combat with the authors. Results want to be free, and perfect is the enemy of good. Do the data support the conclusions? If so, that’s enough. A paper isn’t a blank slate for projecting your own ideas.
Broad peer review is crucial for a healthy scientific literature, but neuroscientists turn down review requests too often. Simple math suggests that small groups of scientists can significantly bias the literature, writes @jvoigts.bsky.social.
#neuroskyence
www.thetransmitter.org/publishing/l...
Looks like more than theta-gamma
Striatum-wide dopamine encodes trajectory errors separated from value
www.nature.com/articles/s41...
#neuroscience
Work by Ghose and @pinotsislab.bsky.social on quantum effects in the brain is of the most-read physics stories of 2025!
physicsworld.com/a/winning-th...
#neuroscience
Photomosaic of Charles G. Gross composed of pictures of his students, colleagues, and friends.
If this were a leap year, today would be Charles G. Gross’s birthday, one of the giants of neuroscience. Miss you, Charlie. Read more about Charlie here:
doi.org/10.1016/j.ne...
#neuroscience
Here are a couple of papers supporting the hypothesis that a *disconnection* between frontal and posterior cortex is associated with anesthesia-induced unconsciousness, not frontal cortex per se.
doi.org/10.1073/pnas...
doi.org/10.1162/jocn...
There’s good evidence that a prefrontal model interacting with posterior cortex is important for consciousness, but if you’re looking for consciousness in a single brain region, you’re asking the wrong question.
Never really thought that. The hunt for a single locus of consciousness is the wrong question.
I've been studying the PFC for over 30 years. I never thought it was the location of consciousness. It is however important for control of thought and action, which is what consciousness is all about
It's a form that I didn't recognize. A bit of a strawman, if you ask me.
The brain oscillates and we should figure out why. Development of new analytics will be key:
Cross-population amplitude coupling in high-dimensional oscillatory neural time series
www.frontiersin.org/journals/com...
#neuroscience
They argue against the idea that *only* the higher-order model is important for consciousness. Did anyone argue for that?
This paper argues against higher-order theory (HOT) of consciousness. But its conclusion matches my understanding of HOT: conscious experience requires both a higher-order model and its linkage to posterior cortex.
doi.org/10.1080/0951...
#neuroscience
I hear you. Thanks.
Great advice. Thanks!
Brain network modeling with The Virtual Brain derives pharmacodynamics of ketamine https://www.biorxiv.org/content/10.64898/2026.02.24.707663v1
I include myself