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The brains of domestic dogs show significant gray matter asymmetry which appears to relate to historical selection for some working skills, does not scale with brain size, and may be on par with primate brain asymmetry! New paper now out in Brain Structure & Function.

Previous studies have described evolutionarily relevant fMRI networks in mammals 🐁🐒👨 But how can we relate these networks across species? And is their *dynamic organization* also evolutionarily conserved? Here's what Daniel Gutierrez-Barragan et al found! ➡️tinyurl.com/t9pwst36 🧵1/n

If you're interested in sex differences in brain anatomy across species (humans and mice) come check out my poster @ 12:15 - 14:15 / #962. #OHBM2023 Armin Raznahan

With the advent of AI assistants, humans depend on their outputs at an unprecedented rate. It is vital that these models be aligned with human abilities, judgements, and preferences. Self-supervised video pretraining yields a big step towards human-aligned visual representations

Brain Computations and Connectivity oxcns.org/papers/Rolls%2…

From fossils to mind nature.com/articles/s4200… 👆Awesome review paper on the use of fossil remains to infer cognitive and behavioral abilities in extinct hominins

Recording for my OHBM2023 keynote talk is now available through Youtube youtube.com/watch?v=z8MkmB… slides are on our website metrics-lab.github.io/talks/. Get in touch if you have any questions or requests. I know a few interested people missed it so please RT

Scientists have constructed the first comprehensive set of functional maps of infant brain networks, providing unprecedented details on brain development from birth to two years old. elifesciences.org/articles/75401…

Excited to share our review on the use of network models for cross-species translational neuroscience! nature.com/articles/s4158… led by Kate Brynildsen (gif below from mathieu ouellet)

Neocortical Neurogenesis in Development and Evolution edited by WIELAND B. HUTTNER is out doi.org/10.1002/978111…. Superb resource to learn about cortical progenitors; lineages; specification; migration; patterning; cortical regionalisation; folding; disorders; evolution.

Introducing BrainLM 🧠🤖the first foundation model for #fMRI analysis trained on 6,700 hours of brain activity data! Fine-tune for specialized tasks or leverage zero-shot inference capabilities! Wu Tsai Institute | Yale University Yale Computer Science Yale CBB Yale School of Medicine biorxiv.org/content/10.110…

Neuroscience of Consciousness evolutionary origins of the Global Neuronal Workspace in vertebrates academic.oup.com/nc/article/202…

🧠🚨 Exciting News! I am proud to announce that our research on human #fetal #brain development, led by @OMNI_oxford and INTERGROWTH-21st at the University of Oxford and several years in the making, is now published in nature. Here are our key findings: nature.com/articles/s4158…

I've just projected the HCP Multimodal Parcellation (MMP, Glasser et al. 2016) to 2 popular stereotactic spaces (FSL's and fMRIprep's defaults) using registration fusion, the gold standard. This may be the best volumetric cortical atlas publicly available. doi.org/10.6084/m9.fig…

1/ New preprint! "General Anaesthesia Reduces the Uniqueness of Brain Connectivity Across Individuals and Across Species" biorxiv.org/content/10.110… Each individual has unique brain activity 🧠But what happens when anaesthesia temporarily suppresses subjective experience? 🤔

“How does the primate brain combine generative and discriminative computations in vision?” The preprint of our CogCompNeuro Generative Adversarial Collaboration (GAC) is out: arxiv.org/abs/2401.06005

Ok - I am OBSESSED with AI generated stereograms. Cross your eyes until each image overlaps… then your eyes locks and it has 3D depth!

After seven (7!) years of work with >20 researchers at 10 different institutions, we are super excited to release NextBrain, a next-gen probabilistic atlas of the human brain with 333 regions: github-pages.ucl.ac.uk/NextBrain Preprint, data, code, videos, and much more in this 🧵(1/5)

What seemed like an intractable problem is now possible: To design proteins with a specified nonlinear mechanical response, capturing complex folding and unfolding mechanisms in singe and few-shot computations. We present ForceGen, an end-to-end algorithm for de novo protein

Researchers have developed an all-optical computational chipset, enabling 3D perception in mobile #robotics at 600 hertz with nanowatt power usage. The approach enables real-time depth mapping and obstacle avoidance without post-processing. scim.ag/7BE