Kudos to the team!! Boshuo Wang, Daniel Marshall, Minhaj Hussain, Eric Musselman, PhD, Gene Yu, Jahrane Dale, Ian Baumgart, Daniel Dardani, Princess Tara Zamani, David Chang Villacreses, Joost Wagenaar, Warren Grill.

3. Contents of shared models >> Table 3 (& editable in Supp 2).4. Online repositories (types & characteristics) >> Table 4.5. IP >> Fig 1, Fig 2. all exemplified in a use-case -- our ASCENT platform for modeling peripheral nerve stimulation.

🔄It spans the full lifecycle:.1. Characteristics of shared models (re-runnability, repeatability, replicability, reusability, reproducibility, readability) >> Table 1.2. Good practices in scientific computing >> Table 2.

💻It's themed around computational modeling of neural stimulation, but it should be largely useful for any scientific computing effort. Even without reading it cover-to-cover, the figures and tables alone should be useful and actionable!.

⭐I hope you can use this resource when . - writing your grants.- initiating & executing your projects.- onboarding new team members.- publishing your work.

📣 Check out our latest paper! A big collaborative effort titled "Guidance for sharing computational models of neural stimulation: from project planning to publication".

*** Tuesday, 1-5pm, Y31-Y32, Z1-Z8, Z10.- 9 posters on our NIH SPARC project to map the anatomy of 100 human vagus nerves from brainstem to abdomen + computational modeling of VNS. - 2 posters on our project to improve carotid sinus nerve stimulation to treat hypertension.

Come check out our posters at SfN!. *** Monday, 1-5pm, B14.- Intraoperative laryngeal muscle and heart rate responses across vagus nerve stimulation parameters.

>> Application: Optimization of stimulation parameters for selective vagus nerve stimulation (Fig 4-5). >> Impact: The new fiber model & optimization approach achieved 2,000 to 130,000× speedup over single-core simulations in NEURON.

2. New tool #2: The design of tool #1 enables global optimization using gradient descent, which is much faster than stochastic methods that are typically used.

>> Application: S-MF ("smurf") model, which is a GPU-compatible implementation of the widely used MRG model of myelinated fibers (Fig 1) -- while maintaining biophysical detail at the nodes of Ranvier and accuracy across a _wide_ range of stimulation conditions (Fig 2-3).

The paper includes:. 1. New tool #1: Novel workflow to model fiber responses to extracellular stimulation on a GPU.

6 years of work led by PhD candidate Minhaj Hussain (who's seeking an internship for summer 2025!), initiated in early NIH SPARC days by Warren Grill.

Have you ever wished that modeling fiber responses to extracellular stimulation would run faster?. Check out our latest paper -- published in Nature Communications!.

I use Kayak / Google Flights to plan travel; I use their visuals of flight prices across different choices of travel dates. But those visuals don't seem to account for search filters (e.g., "max 1 stop"). Any tips of flight search engines that can include search filters?.

Come see our work at NANS this week!. Poster: 1/19, 5:30 pm - 7:00 pm, How Does Vagus Nerve Anatomy Affect Responses to Stimulation?. Talk: 1/20, 11:27 am - 11:37 am, 100 Human Vagus Nerves from Brainstem to Abdomen: Gross Anatomy, Morphology, Ultrastructure, and Fiber Types.

Find me at SfN on Tuesday morning, posters WW61-66. @SfNtweets.

We'll also be recruiting PhD students for the fall, applications due Dec 10: Durham is a great place to live, Duke is the tops in BME, we have a great group, lots of exciting projects.

Apply to join our group & work on computational modeling of neural stimulation! Please also share with your colleagues / students. 🌟 The position is open-level, looking for the right person(s), whether postdoc, junior staff, senior staff.