www.neuron.yale.edu

We wanted to share the news that we have just released a significant update to HNN containing new features and bug fixes. Some highlights: - Improved the stability of the HNN docker container - A new installation script for all platforms that will automatically detect and fix common problems startin...

We are happy to announce several exciting events at SFN 2019 in Chicago, IL for the new Human Neocortical Neurosolver (HNN) software designed for cell and circuit interpretation of human EEG/MEG. HNN will be presented with live demonstrations at the times and locations below. Team members will be on...

We have some exciting updates to share: There is a new HNN release ( v1.1 ) that now includes a parameter optimization tool for ERP simulations.* We have detailed HNN and its features in a methods paper recently posted to bioRxiv (Neymotin et al, BioRxiv 2019:740597. https://doi.org/10.1101/740597)....

Thank you. Yes, you've correctly interpreted the need for aggregating dipole measurements across various points. In fact, I was able to use that scheme in this line of code : self.dpls.append(h.Vector().record(dpp._ref_Qtotal)) I'm not sure what the computational cost is at each time step of recordi...

I'm working on making a simplified HNN model threadsafe so that I can turn on cvode.cache_efficient(1) for about a 30% performance improvement. However, some of the mod files that implement dipole recording use POINTER variables for (1) aggregation and (2) connect to voltages as inputs. Instead of P...

Greetings from the HNN team, We are announcing a completely revamped Docker-based installation for easily running HNN on all major platforms (Mac, Windows, Linux). Additionally, HNN can be run in the cloud using your Amazon AWS account with a single command. Instructions for these platforms (even ol...