A paper can be technically correct, statistically significant, and reproducible and still not generalize. In life science, the hard part is knowing what to trust.
QED Science CTO Meir Maor on why life science needs a validity layer: www.qedscience.com/blog/life-sc...
Finally out: my review in @cp-trendscognsci.bsky.social covering how my lab and others have been ‘Looking into working memory through micro eye movements’ over the years. What does the microsaccade bias buy us? A lot I argue. Go see for yourself at: doi.org/10.1016/j.ti...
New paper in Imaging Neuroscience by Francesco Antonio Mallus, Thomas Wolfers, et al:
From early to contemporary normative modeling: Mapping individual differences in neurophysiological signals
doi.org/10.1162/IMAG...
When OpenAI recently announced that one of its models had disproved a long-standing conjecture in discrete geometry, the scientific community took notice...
Natural behavior unfolds as a continuous stream of actions. Because these actions often occur in rapid succession, the brain must prepare multiple future actions while the current action is being executed. Our TICS piece explores how this works.
www.sciencedirect.com/science/arti...
1/ We can measure interoception in many aspects, but can we actually manipulate it? I’m excited to share our new study, which shows that blockade of peripheral beta-adrenergic pathways improves cardiac and respiratory interoception in unique ways! 🧵 www.biorxiv.org/content/10.1...
In Physics of Life Reviews: Brain-body interaction has revealed a role for interoception in cognitive functioning. I propose a roadmap on how to implement this knowledge into concrete engineering design for biology-inspired AI to, ultimately, reaching near-conscious machines
doi.org/10.1016/j.pl...
1/11 Happy to share our TICS paper on using the flexibility of one of the most basic cognitive functions, perception, to understand one of the most complex cognitive dysfunctions, psychiatric conditions (also my first formal work in computational psychiatry 🎉)
📄: www.cell.com/trends/cogni...
🧵 : 👇
Our new paper is out this week in Nature Neuroscience! www.nature.com/articles/s41... We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why:
Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeed...
Perceptual multistability, observed across species and sensory modalities, offers
valuable insights into numerous cognitive functions and dysfunctions. For instance,
differences in temporal dynamics a...
who wants to come work with us, on whether AIs can introspect? e.g. something similar to this - transformer-circuits.pub/2025/introsp... - but maybe especially in the perceptual domain?
we just got some new funds to collaborate with our friends at Yale (on foundational models for fMRI data), & ...
In a new @cp-neuron.bsky.social article, members of the Simons Collaboration on Ecological Neuroscience (SCENE) outline their plans to investigate how the brain links perception, cognition and action by encoding environmental affordances: https://bit.ly/49YfgaE
The Simons Collaboration on Ecological Neuroscience (SCENE) seeks to uncover general
principles of brain function through an ecological perspective: studying perception,
cognition, and action in the c...
Online Now: Perceptual multistability: a multifaceted window into brain dysfunctions
hakwan lau
Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics and information integration during percept formation often distinguish clinical from nonclinical populations. Computational psychiatry can elucidate these variations through two primary approaches: (i) Bayesian modeling, which treats perception as an unconscious inference, and (ii) an active, information-seeking perspective (e.g., reinforcement learning), which frames perceptual switches as internal actions. Our synthesis aims to leverage multistability to bridge these computational psychiatry subfields, linking human and animal studies as well as connecting behavior to underlying neural mechanisms. Perceptual multistability emerges as a promising noninvasive tool for clinical applications, facilitating translational research and enhancing our mechanistic understanding of cognitive processes and their impairments.
