🧠 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.
🌍 https://doi.org/10.1038/s41592-025-02895-w
#Neuroscience #CompNeuro
🧠 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:
🌍 https://doi.org/10.1101/2025.10.03.680368
#CompNeuro #Neuroscience #Reproducibility
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:
🌍 https://www.fabriziomusacchio.com/blog/2025-06-29-astrocyte_enhance_plasticity/
📝 https://doi.org/10.1038/s42003-024-06540-8
#CompNeuro #Neuroscience
#Biophysical #principles predict #fitness of #SARS-CoV-2 #variants, Proc Natl Acad Sci USA: https://www.pnas.org/doi/abs/10.1073/pnas.2314518121?af=R
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.
Very cool: trees stalling effects of global heating in eastern US, study finds
Vast reforestation a major reason for ‘warming hole’ across parts of US where temperatures have flatlined or cooled
The Guardian#Road building almost always precedes #forest loss, and road density is by far the strongest correlate of #deforestation out of 38 #biophysical and #socioeconomic factors.
Findings of the study imply that the most vital #conservation function of protected areas is limiting roads and road-related environmental disruption. They suggest that burgeoning, poorly studied ghost roads are among the gravest of all direct #threats to #tropical forests.
https://www.nature.com/articles/s41586-024-07303-5
#asia #nature #environment

Ghost roads and the destruction of Asia-Pacific tropical forests - Nature
An effort to map roads in the Asia-Pacific region finds that there are 3.0–6.6 times more roads than other sources suggest, and that unmapped ‘ghost roads’ are a major contributor to tropical forest loss.
NatureSpecial #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:
https://moffitt.zoom.us/j/91265406655
Join our Cloud HD Video Meeting
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Zoom VideoA new paper proposes a #framework—the #PlanetaryCommons—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.
https://www.pnas.org/doi/10.1073/pnas.2301531121