Graph neural networks recover interpretable circuit models from neural activity
saalfeldlab.github.io/flyvis-gnn/
@HHMIJanelia
@AllenInstitute
to be presented at @CosyneMeeting
Graph neural networks uncover structure and functions underlying the activity of simulated neural assemblies
arxiv.org/abs/2602.13325
saalfeldlab.github.io/neural-gnn/
@hhmijanelia.bsky.social
This is work that we presented at last year's #Cosyne workshop on #GNN s sites.google.com/bu.edu/gnnwo.... Better late than never. You can reproduce everything with the associated notebooks. I think it's a good start to learn how to use GNNs to infer something about NNs. arxiv.org/abs/2602.13325
Graph neural networks uncover structure and functions underlying the activity of simulated neural assemblies
arxiv.org/abs/2602.13325
saalfeldlab.github.io/neural-gnn/
@hhmijanelia.bsky.social
github.com/allierc/Fluo-BPM
@hhmijanelia.bsky.social
Fluo + RI: differentiable beam propagation method
github.com/allierc/MPM_pytorch
@HHMIJanelia
pytorch version of github.com/taichi-dev/taichi
github.com/allierc/MPM_pytorch
@HHMIJanelia
pytorch version of github.com/taichi-dev/taichi
github.com/allierc/MPM_pytorch
@HHMIJanelia
pytorch version of github.com/taichi-dev/taichi
Join the team at Janelia to use #theory, computation, and modeling to tackle bold questions in #biology. Collaborate across scientific disciplines to drive discovery.
Apply by Nov. 3 @ https://janelia.link/theoryfellowprogram
#computationalbiology #sciencecareers
@hhmijanelia.bsky.social
C.Elegans neuron activity
you nailed it
✨ We’re #hiring Theory Fellows!✨
Janelia is recruiting early-career scientists to join our collaborative research environment and use #computation & #theory to tackle bold questions in #biology.
🔗 Apply by Nov. 3 👉 janelia.link/theoryfellow...
@hhmi.org
github.com/allierc/MPM_pytorch
@HHMIJanelia
pytorch version of github.com/yuanming-hu/...
github.com/allierc/MPM_pytorch
@HHMIJanelia
pytorch version of github.com/yuanming-hu/...
