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#neuroscience

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On the robustness of the emergent spatiotemporal dynamics in biophysically realistic and phenomenological whole-brain models at multiple network resolutions
arxiv.org/abs/2504.17491
#neuroscience

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arXiv.orgOn the robustness of the emergent spatiotemporal dynamics in biophysically realistic and phenomenological whole-brain models at multiple network resolutionsThe human brain is a complex dynamical system which displays a wide range of macroscopic and mesoscopic patterns of neural activity, whose mechanistic origin remains poorly understood. Whole-brain modelling allows us to explore candidate mechanisms causing the observed patterns. However, it is not fully established how the choice of model type and the networks' resolution influence the simulation results, hence, it remains unclear, to which extent conclusions drawn from these results are limited by modelling artefacts. Here, we compare the dynamics of a biophysically realistic, linear-nonlinear cascade model of whole-brain activity with a phenomenological Wilson-Cowan model using three structural connectomes based on the Schaefer parcellation scheme with 100, 200, and 500 nodes. Both neural mass models implement the same mechanistic hypotheses, which specifically address the interaction between excitation, inhibition, and a slow adaptation current, which affects the excitatory populations. We quantify the emerging dynamical states in detail and investigate how consistent results are across the different model variants. Then we apply both model types to the specific phenomenon of slow oscillations, which are a prevalent brain rhythm during deep sleep. We investigate the consistency of model predictions when exploring specific mechanistic hypotheses about the effects of both short- and long-range connections and of the antero-posterior structural connectivity gradient on key properties of these oscillations. Overall, our results demonstrate that the coarse-grained dynamics are robust to changes in both model type and network resolution. In some cases, however, model predictions do not generalize. Thus, some care must be taken when interpreting model results.

Mean girls just need a boost of oxytocin (the “nurturing/bonding” hormone)? neurosciencenews.com/oxytocin- (in a robbery of a Philadelphia area warehouse about 25 years ago, thieves were looking for oxyCONTIN; but made off with oxyTOCIN. Spelling matters. Kinder, gentler drug addicts?) #neuroscience #behavior #hormones

Neuroscience News · How Oxytocin Tames "Mean Girl" Behavior - Neuroscience NewsNeuroscience News provides research news for neuroscience, neurology, psychology, AI, brain science, mental health, robotics and cognitive sciences.

The wait is over! 🎉 Acceptance emails for the 2025 Cohorts of Neuroscience, Climate Science, and AI/ML are out now.

Check your inbox to see if you’ve been offered a spot and make it official by 13 May! By joining the 2025 cohort, you’ll become part of a global network of curious minds, dive into cutting-edge learning, and unlock opportunities like the Impact Scholars Program after completing the Academy.

It seems likely that the brain directs more or less energy to different sets of neurons based on their importance to carrying out current task, but do we know the mechanism by which it does that? Does it make neurons spike more/less often and if so how? Or is it an open question? #neuroscience

"SCENE expects to resolve how the brain organizes perception and action within ecological constraints, providing a robust, theoretically grounded and experimentally validated framework that describes if and how neural systems encode affordances."

Simons Collaboration on Ecological Neuroscience
simonsfoundation.org/neuroscie

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Simons FoundationSimons Collaboration on Ecological NeuroscienceThe mission of the Simons Collaboration on Ecological NEuroscience (SCENE) is to understand how affordances offered by the world shape representations in the mind and the brain.

Science can be lots of fun, especially when you design novel stimuli to challenge the visual system. Take a breath and get into the tunnel !

Here's an infinite tunnel where you move along the axis, with some perturbations to the center of your gaze with respect to the focus of expansion. It's serious though! Think of having to orient yourself with that optic flow and how difficult life may be without this feat!

Code : laurentperrinet.github.io/scib