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Hi
I'm interested is using SERGIO to simulate realistic single cell RNASeq data for the purpose of testing a network reconstruction algorithm. But I’m interested in simulating a dataset consisting …
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The code Salvador has written for HNN can replace the network-building code in network.py and cell.py (maybe feed.py). This would allow users to modify the network configuration in an ad hoc fashion. …
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Abstract: We present Compositional Attention Networks, a novel fully differentiable neural network architecture, designed to facilitate explicit and expressive reasoning. While many types of neural ne…
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There are various packages/initiatives out there investigating ways to **validate models** in computational neuroscience, including [NeuronUnit](https://github.com/scidash/neuronunit) and the [HBP Val…
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The README states:
> the extracellular potentials can be calculated from a distance-weighted sum of contributions from transmembrane currents of neurons
suggesting that LFPykit Is able to handle…
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Hi! While I have not used your package myself yet, I can see that it is getting some attention, specifically in the single-cell field. My congratulations :)
Reading the documentation, I was quite …
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Hi,
Thank you for this brilliant package. Using the PISCES method, I had generated 7 cell-type specific networks which I have then projected onto my single cell dataset to calculate the activity fo…
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Cells connected via gap-junctions currently have to reside on the same-cell group. As a result these cells cannot be distributed across multiple nodes. This is a major constraint for scaling up networ…
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### Title
Data-Driven Spiking Neural Network Optimization in Julia
### Leaders
- Russell Jarvis @rjjarvis (mattermost) @russelljjarvis (github)
### Collaborators
Seeking collaborators
…
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**Is your feature request related to a problem? Please describe.**
I really appreciate the FastMarkerCluster that allows me to plot over 300K markers and keep both a reactive map and a not so big gen…