#NeuroML is participating in #GSoC2025 again this year under @incforg.bsky.social . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain. 1/2
#NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (#pyNeuroML, #OMV, #SciUnit), .. 10/x
Figure showing different model elements provided by NeuroML in 3 panels. Top panel shows schematics of conductances, cells, and networks. Panel below shows these in the form of Lego like building blocks showing how they can be combined. The last panel is a mind map type schematic showing different model elements included in NeuroML in different categories: Cells, Networks, Synapses, Ion Channels, Inputs.
#NeuroML provides a curated set of model elements for researchers to use. This includes simpler single compartment cells, but also bits required to build detailed multi-compartmental cells , synapse models, networks/projections, and network inputs such as spike trains and pulse generators 8/x
Figure showing simplified schematic of steps of model building and simulation in NeuroML using Python.
#NeuroML provides a simulator independent standard and software tools. The idea is that researchers can use NeuroML to build their models, and these models will “just run” in any of the supported simulators. 7/x
#NeuroML is a standard and software ecosystem for data-driven biophysically detailed #ComputationalModelling endorsed by the @incforg.bsky.social and #CoMBINE, and includes a large community of users and software developers. 2/x
Image showing the NeuroML logo in the center surrounded by the different stages of the model development pipeline: create, validate, visualize, simulate, fit, share, and reuse.
We are very happy to provide a consolidated update on the #NeuroML ecosystem in our eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience” : doi.org/10.7554/eLif... . 1/x
🚀 Congratulations Dr. Subhasis Ray (@subharay.bsky.social) on being elected as a member of the NeuroML editorial board for 2025-2027! 🎉
On behalf of the MOOSE team, we wish him great success in advancing NeuroML and continuing his trailblazing work. 👏 #ComputationalNeuroscience #NeuroML
