A new release of #PyNeuroML is available. Please update to get the latest fixes and features. #NeuroML #ComputationalModelling #ComputationalNeuroscience
```
pip install --upgrade pyneuroml
```
A new release of #PyNeuroML is available. Please update to get the latest fixes and features. #NeuroML #ComputationalModelling #ComputationalNeuroscience
```
pip install --upgrade pyneuroml
```
If you're seeing your #NEST simulator builds fail recently, it's because of a new #Cython release:
https://github.com/nest/nest-simulator/issues/3495
Workaround: fix `cython<3.1.0` for the moment (until new NEST releases with the fix are made)
#ComputationalNeuroscience #ComputationalModelling #Neuroscience #AcademicChatter
🧠 New #preprint! Confavreux et al. use meta-learning to uncover thousands of diverse, local #plasticity rule quadruplets that stabilize #RecurrentSpikingNetworks — and incidentally support #memory functions like novelty detection, replay, & contextual prediction. A striking case of function emerging from stability.
📄 https://doi.org/10.1101/2025.05.28.656584
#Neuroscience #Plasticity #ComputationalNeuroscience #CompNeuro #SNN #SpikingNeurons
At Neuromatch Academy & Climatematch Academy, we’re not just running courses. Neuromatch is investing in the next generation of computational scientists, changemakers, & interdisciplinary thinkers.
As part of this mission, we offer Professional Development sessions that give our students & TAs real-world tools and insight before the coursework begins.
🤓Want to get involved with Neuromatch? Join our mailing list: https://neuromatch.io/mailing-list/
🧠 The #Italian Network of #ComputationalNeuroscience announced its 2025 conference:
📍 Palazzo della Salute, Padova, Italy 🇮🇹
📅 September 22–24, 2025
⏰ Submission deadline: June 7, 2025
🌍 https://www.incn.it/
A 3-day deep dive into the brain — from models to data, theory to technology.
#CompNeuro #Neuroscience
In the next version, 0.6.6, all component classes in the #libNeuroML #Python API gain a quick method to list the parameters of their model objects. So, if you load a #NeuroML file/model, you can easily print the parameters of the different model entities. See the test in the pull request for a quick example:
https://github.com/NeuralEnsemble/libNeuroML/pull/208/files
#ComputationalNeuroscience #AcademicChatter #Neuroscience #FAIR
Adds a get_parameters function to each nml component type class to get the parameters of the component. We don't use LEMS here, we simply look for any members that have a NeuroMLQuantity... typ...
Check out the #NeuroAI projects from the Impact Scholars Program! https://airtable.com/appbxcAKe1D5c5xwY/tblA6aWdM4mVjXIqH/viwaYt2Hk85zFUyiM
🤓 Learn more about:
#ImpactScholars #ComputationalNeuroscience #Innovation #Neuromatch #AIforGood #MachineLearningResearch
Researchers in France are working on creating a French network of researchers to organize interaction, communication and training in #computationalneuroscience
If you are a CompNeuro working in France, consider joining, and registering to our mailing list: https://listes.services.cnrs.fr/wws/subscribe/rt_neurocomp
https://bsky.app/profile/lauradugue.bsky.social/post/3lo6rrtvb3k2v
https://www.linkedin.com/posts/laura-dugu%C3%A9-59964756_rtneurocomp-r%C3%A9seau-fran%C3%A7ais-de-neurosciences-activity-7324039702427090944-LKsN
🧠 Nouveau Réseau Français De Neurosciences Computationnelles !🧠
Une initiative passionnante est en cours en France ! Des chercheurs établissent un réseau national dédié aux #NeurosciencesComputationnelles pour faciliter :
🔍 Vous travaillez en #ComputationalNeuroscience sur le territoire français ? Que vous soyez chercheur·e confirmé·e, post-doctorant·e, doctorant·e ou étudiant·e, rejoignez notre communauté !
📝 Inscrivez-vous à notre liste de diffusion pour recevoir les actualités, événements et opportunités :
➡️ https://listes.services.cnrs.fr/wws/subscribe/rt_neurocomp
Ensemble, renforçons l'excellence française en #NeurosciencesComputationnelles !
#Recherche #Neuroscience #CNRS #Science #IA #IntelligenceArtificielle
A few weeks ago, I shared a differential equations tutorial for beginners, written from the perspective of a neuroscientist who's had to grapple with the computational part. Following up on that, I've now tackled the first real beast encountered by most computational neuroscience students: the Hodgkin-Huxley model.
While remaining incredibly elegant to this day, this model is also a mathematically dense system of equations that can overwhelm and discourage beginners, especially those with non-mathematical backgrounds. Similar to the first tutorial, I've tried to build intuition step-by-step, starting with a simple RC circuit, layering in Na⁺ and K⁺ channels, and ending with the full spike-generation story.
Feedback is welcome, especially from fellow non-math converts.
https://neurofrontiers.blog/building-a-virtual-neuron-2/
#ComputationalNeuroscience #Python #hodgkinHuxleyModel #math #biophysics
From: @neurofrontiers
https://neuromatch.social/@neurofrontiers/114150087773204813