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#biophysical β€” Public Fediverse posts

Live and recent posts from across the Fediverse tagged #biophysical, aggregated by home.social.

  1. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  2. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  3. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  4. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  5. 🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

    They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

    🌍 doi.org/10.1038/s41592-025-028

    #Neuroscience #CompNeuro

  6. 🧠 New preprint by Chintaluri et al. (2025): An ion channel #omnimodel for standardized #biophysical #neuron #modelling. A unified #HodgkinHuxley formalism applied to >3,500 ion channel models from #ModelDB. Enables cross-model comparison, #clustering, and reproducible simulation through a shared parametrization:

    🌍 doi.org/10.1101/2025.10.03.680

    #CompNeuro #Neuroscience #Reproducibility

  7. Recently, we discussed this insightful paper by Squadrani et al (2024) in our #JournalClub. It explores how #astrocytes enhance #SynapticPlasticity during #ReversalLearning by modulating D-serine levels, providing a #biophysical basis for dynamic #LTP thresholds. The findings suggest astrocytic signaling is crucial for #AdaptiveLearning, linking #glial activity to #behavioral flexibility. Here’s a summary from our JC:

    🌍 fabriziomusacchio.com/blog/202
    πŸ“ doi.org/10.1038/s42003-024-065

    #CompNeuro #Neuroscience

  8. #Biophysical #principles predict #fitness of #SARS-CoV-2 #variants, Proc Natl Acad Sci USA: pnas.org/doi/abs/10.1073/pnas.

    Our #study sheds light on the impact of specific #mutations on viral fitness and delivers a #tool for predicting the future epidemiological #trajectory of previously unseen or emerging low-frequency variants.

  9. Special #seminar this Thursday, 4/4, at noon EST with Jason George from Texas A&M. Dr. George will discuss #biophysical and stochastic modeling of the tumor-immune interaction for optimizing T cell #immunotherapies. And you can join here:

    moffitt.zoom.us/j/91265406655

  10. A new paper proposes a #frameworkβ€”the #PlanetaryCommonsβ€”which differs from the global #commons framework by including not only globally shared geographic regions but also critical #biophysical systems that regulate the #resilience and state, and therefore #livability, on #Earth. The new planetary commons should create comprehensive #stewardship obligations through Earth system #governance aimed at restoring and strengthening planetary resilience and #justice.

    pnas.org/doi/10.1073/pnas.2301

  11. Double #food production, save #water and at the same time increase #carbon storage - that sounds paradoxical, but would be theoretically possible, at least according to the #biophysical potential of the #earth.
    #EarthScience #Environmental #sflorg
    sflorg.com/2023/10/en10112301.

  12. In the same vein as my #arxivfeed thing, here's a paper that I've been reading and really enjoying. I decided to spend more time on it than I usually do when reading papers because I wanted to search for gaps in my knowledge, and I really don't regret that decision! I'm only at the 4th section at the moment and I find it very well written, especially in the framing of things. So far it's a great overview!

    "Neural Field Models: A mathematical overview and unifying framework"
    arxiv.org/abs/2103.10554v4

    #Neuroscience #ComputationalNeuroscience #MathematicalNeuroscience #NeuralFieldModelling #Biophysical #DynamicalSystems

  13. #introduction

    Hi,

    I am a #physicist and #neuroscientist who tries to bring both fields together in #neuroimaging.

    I direct the Dept of Neurophysics at the #MPI for Human Cognitive and Brain Sciences (cbs.mpg.de/en). Our main tools are #MRI, #histology and #biophysical #modeling for in-vivo histology (#hMRI) and ultra-high resolution #fMRI.

    Excited to see #MastodonScience growing so quickly πŸ˜€

    This is my personal account and my posts/toots are just my personal views.

  14. Super busy here with preparing abstracts for today's #ISMRM conference deadline. Lots of nice results from highly interdisciplinary and collaborative projects; some foundational #MRI #physics and image reconstruction, #histology, #biophysical modeling, #qMRI, #hMRI, #diffusion MRI and layer-specific #fMRI.

    ismrm.org/

  15. #introduction

    Hi,

    I am a #physicist and #neuroscientist who tries to bring both fields together in #neuroimaging.

    I direct the Dept of Neurophysics at the #MPI for Human Cognitive and Brain Sciences (cbs.mpg.de). Our main tools are #MRI, #histology and #biophysical #modeling for in-vivo histology (#hMRI) and ultra-high resolution #fMRI.

    Excited to see #MastodonScience growing so quickly πŸ˜€

    This is my personal account and my posts/toots are just my personal views.

  16. Hi all - new to #Mastodon (fleeing the πŸ¦ƒ #TwitterMigration).

    I'm an Associate Investigator & #StructuralBiologist at HWI in Buffalo #NY. I direct the National High-Throughput #Crystallization Center πŸ’Ž.

    My group uses X-ray #crystallography, #microED, #computationalbiology, & other #biophysical tools to study #protein structure & function.

    Especially interested in #metalloproteins & coupling #crystallography & #spectroscopy.

    #Introduction #Science #SciComm #structuralbiology #WomeninSTEM