#biophysical

Fabrizio Musacchiopixeltracker@sigmoid.social
2025-11-14

๐Ÿง  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.

๐ŸŒ doi.org/10.1038/s41592-025-028

#Neuroscience #CompNeuro

Fig. 1: Differentiable simulation enables training biophysical neuron models.
Fabrizio Musacchiopixeltracker@sigmoid.social
2025-10-07

๐Ÿง  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:

๐ŸŒ doi.org/10.1101/2025.10.03.680

#CompNeuro #Neuroscience #Reproducibility

Figure 1: A sample of three gating variables for the sub-families of voltage-gated A) potassium, B) sodium, C) calcium, D) Ih- and E) Ca-dependent potassium channel models available on ICG. These gating variables were extracted directly from the respective .mod files at 6.3โ—ฆC and 5ยตM intracellular Ca2+ concentration. The top row shows the probability of the channel opening at different membrane potentials, and the bottom row shows the corresponding time constants at these
potentials.
Fabrizio Musacchiopixeltracker@sigmoid.social
2025-06-30

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. Hereโ€™s a summary from our JC:

๐ŸŒ fabriziomusacchio.com/blog/202
๐Ÿ“ doi.org/10.1038/s42003-024-065

#CompNeuro #Neuroscience

Fig. 4 from Squadrani et al. (2024)๊œ›: The model reproduces learning deficit in mutant mice. Top: State visit frequency over time. Bottom: Corresponding synaptic weight evolution for control and mutant simulations. Source: Communications Biology (Commun Biol)๊œ› (license: Creative Commons Attribution 4.0 International License)
Giuseppe MichieliGMIK69@mstdn.science
2024-06-04

#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.

๐Ÿ’ง๐ŸŒ Greg CocksGregCocks@techhub.social
2024-05-20

Old Forests Are Irreplaceably Cool
--
pubs.aip.org/physicstoday/onli <-- shared technical article
--
doi.org/10.1038/s41561-024-014 <-- shared paper
--
โ€œSatellite measurements confirm that the sudden disappearance of mature tropical forests has a more drastic effect on local land temperature than does the gradual growth of young forestsโ€ฆโ€
#GIS #spatial #mapping #remotesensing #tropics #tropical #earthobservation #vegetation #forest #forests #loss #gain #differences #landsurface #local #temperatures #heat #coolingeffect #energybudget #biophysical #climatechange #spatialanalysis #spatiotemporal #leafareaindex #aldebo #canopy #structure #geomorphometry #NDVI #model #modeling #ecology #NASA #Aqua #Terra #satellite #atmosphere #circulation

map and charts - Spatial pattern of the differences between the sensitivities of daytime LST (13:30) to forest loss and gain during 2003 and 2013.charts - LST responses to forest cover change during 2003โ€“2013 in the tropicsaerial image - clouds over the Amazonaerial image - Small clouds pop up over Amazon forestland in this 2019 image from NASAโ€™s Aqua satellite.
maxiha ๐Ÿ‡ช๐Ÿ‡บmaxiha
2024-04-14

building almost always precedes loss, and road density is by far the strongest correlate of out of 38 and factors.
Findings of the study imply that the most vital 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 to forests.

nature.com/articles/s41586-024

David Basanta Gutierrezdavid@fediscience.org
2024-04-01

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

arthurgesslerarthurgessler
2024-01-23

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

pnas.org/doi/10.1073/pnas.2301

Scientific Frontlinesflorg
2023-10-11

Double production, save and at the same time increase storage - that sounds paradoxical, but would be theoretically possible, at least according to the potential of the .

sflorg.com/2023/10/en10112301.

2023-06-13

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

Costas AnastassiouBrainiacCostas@sfba.social
2022-12-27

We used #parallelcomputing and #biophysical #simulations to go from deep, #multimodal #feature changes to #causal #differences. Result? Three conductances explained #phenotypic, #disease-related changes, an observation supported by subsequent #snRNA analysis.

2022-12-16

#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 ๐Ÿ˜€

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

So we have a new #datapaper out on #biophysical & #agronomic parameters for #maize in #Ghana. This paper will be useful for folk doing #RemoteSensing #EarthObservation #CropModelling in #smallholder #agriculture systems
doi.org/10.5194/essd-14-5387-2

Dr Geertje van KeulenDrGvanK@mstdn.science
2022-11-18

Our next @SwanseaBioMaths Colloquium on Wed Dec 7 will be presented by @wilfred_otten on A #biophysical approach to #soil #fungal processes: from percolation theory to fungal invasion and resilience in soil systems
#biomaths #modelling
events.swansea.ac.uk/talk/inde

Rike Mueller-Werkmeisterrike@fediscience.org
2022-11-17

Oh yes - no words on how much I missed nerding about #biochemistry and #protein #structure in all the lectures I gave the last 5 years - finally time for a special course on #biophysical #chemistry and #structural #dynamics of #proteins โ€ฆ omg #teaching is so much easier when you bring 20y of education and expert knowledge on the topic #StructuralBiology #biophysics #teaching in #chemistry

2022-11-09

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/

2022-11-08

In light of the ongoing #twexit I want to share our recent publication in Comms Biol here on #Mastodon

nature.com/articles/s42003-022

A combination of #biophysical tools and #artificialinteligence helped to decode the binding affinity of multivalent peptides to their target protein gephryrin and how their architecture influences binding kinetics. Huge thx to all co-authors at Nanotemper nanotempertech.com/
Dynamic Biosensors dynamic-biosensors.com/
& Dominik Heiders lab! heiderlab.de/ ๐Ÿ‘

2022-11-08

#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 ๐Ÿ˜€

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

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