NeuWalk: A Python Library for Data-Driven Synthesis of Neuron Morphologies Using Random Walks
NeuWalk synthesizes neuron morphologies using random walks, validated against real neurons with statistical similarity in key metrics.
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Emory UniversityORCID 0000-0002-3859-2692Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
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NeuWalk synthesizes neuron morphologies using random walks, validated against real neurons with statistical similarity in key metrics.
Saketh Baddam, Omar Emam, Abdelrahman Elfikky…·Yasser M. Sanad
ColiFormer improves E. coli gene expression by balancing multiple codon optimization objectives using a transformer model, outperforming existing methods in CAI, tAI, and cis-regulatory element reduction.
Francesco Cavarretta, Dieter Jaeger
The paper models synaptic integration in ventromedial motor thalamocortical neurons under normal and dopamine-depleted conditions, finding increased firing rates and altered responses to inhibitory inputs in dopamine-depleted states.
Edyta K. Bichler, Francesco Cavarretta, Dieter Jaeger
This study investigates changes in intrinsic excitability of BGMT neurons in 6-OHDA lesioned mice, finding increased excitability due to reduced M-type potassium current.