Support Sam Wang for Congress. We need a doctor in the House. Well, better ones.
www.samfornj.org

Emergence of multifrequency activity in a laminar neural mass model Author summary Understanding how the brain generates and coordinates rhythms across different layers is essential for uncovering the mechanisms underlying perception, memory, and cognition. In this wo...

A brain model that mimics how different cortical layers interact, producing the mix of slow and fast rhythms seen in real brains.

Emergence of multifrequency activity in a laminar neural mass model
doi.org/10.1371/jour...
#neurocience

Excellent talk by @nadinedijkstra.bsky.social ! Hope it was recorded.

It was recorded and will be posted soon

Brainwide blood volume reflects opposing neural populations - Nature Combined functional ultrasound imaging and Neuropixels recording of mouse brains identify two neuronal populations with opposing arousal-related activity and distinct haemodynamic response functi...

BOLD is not a simple monotonic readout of local firing. Instead, it reflects the net activity of two opposing neural populations. Interpreting it may require modeling their latent composition, not just overall activity.
www.nature.com/articles/s41...
#neuroscience

It's always a good idea to check the web page of the authors.

How does the brain process information? We found evidence in favour of a hybrid predictive coding-routing model that combines top-down predictions with superficial-layer inhibition. Models are complementary,not competing-w/ @earlkmiller.bsky.social Andre Bastos www.biorxiv.org/content/10.6...

Join us, if you will, at the MIT Consciousness Club on Thursday April 16 at 12pm (EDT)

"Distinguishing imagination and reality in a generative brain"
Nadine Dijkstra (Department of Imaging Neuroscience, Institute of Neurology, UCL)

Zoom link:
sites.google.com/view/mit-con...

Have I mentioned that cognition is rhythmic?
Planar, spiral, and concentric traveling waves distinguish behavioral states in human memory
www.nature.com/articles/s41...
#neuroscience

Groundbreaking Brain Model Reveals Secrets of Animal Learning - Stony Brook Today A team of scientists from Dartmouth College, MIT, and Stony Brook University has developed a groundbreaking computational brain model that not only learns like an animal but also uncovers hidden secre...

Groundbreaking Brain Model Reveals Secrets of Animal Learning
Dartmouth, MIT, and Stony Brook researchers create a biology-based computational model that mirrors animal behavior and uncovers overlooked brain mechanisms.
nationaltoday.com/us/ny/stony-...

Categorization is ‘baked’ into the brain - Nature Reviews Neuroscience Categorization, the grouping of objects, living organisms, actions or events into equivalence clusters, is fundamental to adaptive behaviour. In this Perspective, Barrett and Miller discuss evidence t...

Categorization is ‘baked’ into the brain — a Perspective by Lisa Feldman Barrett & Earl K. Miller

@lisafeldmanbarrett.com @earlkmiller.bsky.social

#neuroscience #neuroskyence

www.nature.com/articles/s41...

Categorization is ‘baked’ into the brain - Nature Reviews Neuroscience Categorization, the grouping of objects, living organisms, actions or events into equivalence clusters, is fundamental to adaptive behaviour. In this Perspective, Barrett and Miller discuss evidence t...

Article by @earlkmiller.bsky.social @lisafeldmanbarrett.com: www.nature.com/articles/s41...

A complete rethinking of how our brains use categories to make sense of the world Challenging the classic view, two cognitive scientists argue in a new review that categorization is not a late, specialized stage of sensory processing. Instead, it is a core function operating at eve...

A new paper in @natrevneuro.nature.com challenges decades of dogma about how and why the brain boils down what it sees, hears, smells, tastes and feels into categories. picower.mit.edu/news/complet... #neuroscience #cognition @mitbcs.bsky.social

The dominance of large-scale phase dynamics in human cortex, from delta to gamma The phase of cortical activity, measured in the gray matter, is organized at multiple spatial scales, with the largest scales explaining most variance in phase at a given temporal frequency.

Cortex is rhythmic: Brain rhythms coordinate over large distances. The strongest phase organization spans up to 8–16 cm of cortex.
The dominance of large-scale phase dynamics in human cortex, from delta to gamma
doi.org/10.7554/eLif...
#neuroscience

Dopamine D1 and D2 receptors differentially control strength and dynamics of abstract decision codes in the primate prefrontal cortex | PNAS Dopamine critically modulates prefrontal circuits underlying cognitive control, but how D1-type (D1R) and D2-type (D2R) receptors influence abstrac...

Dopamine D1 and D2 receptors differentially control strength and dynamics of abstract decision codes in the primate prefrontal cortex
doi.org/10.1073/pnas...
#neuroscience

There is no justification for calling a brain signal an "epiphenomenon". When someone says "epiphenomenon", I hear "doesn't fit my theory". Oh, and BTW, there is a large body of literature shows that ephaptic coupling has a strong influence on spiking.

😁 I call them as I see them. I don't invent results. I just report them.

More evidence for the role of alpha/beta oscillations in top-down control.
Sustained alpha oscillations serve attentional prioritization in working memory, not maintenance
doi.org/10.1162/IMAG...
#neuroscience

New discovery! Spoiler alert: Neural dynamics are key.
Evidence for predictive computations in a brain hierarchy during a visual search task
doi.org/10.64898/202...
Work led by @pinotsislab.bsky.social
#neuroscience

Spiking forms low‑dimensional neural trajectories. Sounds a lot like waves traveling across networks to me. A modeling study.

Sparse mixed codes on shared manifolds for human-like spatial attention in artificial neural networks
doi.org/10.64898/202...
#neuroscience

Beta (top-down) feed back signals in cortex strengthen with age. I guess that as we age, we layer more of our expectations and predictions on the world. I know I do.
Hierarchical Flows of Human Cortical Activity
doi.org/10.64898/202...
#neuroscience

Beta (top-down) feed back signals in cortex strengthen with age. I guess that as we age, we layer more of our expectations and predictions on the world. I know I do.
Hierarchical Flows of Human Cortical Activity
doi.org/10.64898/202...
#neuroscience

What Anesthesia Does to the Brain, According to a New Study Brain monitoring is uncovering surprising similarities among different anesthesia drugs.

What Anesthesia Does to the Brain, According to a New Study
time.com/article/2026...
#neuroscience

Alpha oscillations track the projection of reactivated memories into conscious awareness By definition, episodic memory is a conscious phenomenon. Memory traces reactivated by the hippocampus and reinstated in the sensory cortices need to enter conscious awareness for them to be re-experi...

Consciousness is rhythmic.
Alpha oscillations track the projection of reactivated memories into conscious awareness
doi.org/10.1523/JNEU...
#neuroscience

Working memory is rhythmic. Beta is top-down.
Prioritization in working memory reduces interference via a beta band-linked transformation of the not-selected item
doi.org/10.64898/202...
#neuroscience

Attention is rhythmic.
Global Neural Oscillations Underlie Performance Variability and Attentional State Fluctuations in Humans
doi.org/10.64898/202...
#neuroscience

The neural code of perceptual inference - Molecular Brain Perception is a process of inference, whereby incoming sensory evidence is interpreted based on prior expectations about the sensory world. Thus, the neural code of perception should be evaluated base...

The neural code of perceptual inference
link.springer.com/article/10.1...
#neuroscience

Adult brains operate near a “critical point” where excitation and inhibition are balanced, enabling more coordinated rhythms and greater efficiency.

Brain criticality emerges with developmental shifts in frequency-specific excitation-inhibition balance
doi.org/10.64898/202...
#neuroscience

From Coarse to Rich: Successive Waves of Visual Perception in Prefrontal Cortex
doi.org/10.64898/202...
#neuroscience

I thoroughly enjoyed talking about our recent work on nested control systems for action, in which ancient subcortical visuomotor pathways are embedded within more recently evolved cortical pathways. A real team effort with @brian-corneil.bsky.social, @davidmekhaiel.bsky.social, and others🧠