NetPyNE Case Study

NetPyNE (Networks using Python and NEURON) is a project developed by SUNY Downstate and funded by the National Institute for Biomedical Imaging and Bioengineering at the NIH (U24 grant), the National Science Foundation (E-CAS grant), and the New York State Department of Health (SCIRB grant).

NetPyNE is an open-source Python package to facilitate the development, parallel simulation, analysis, and optimization of biological neuronal networks using the NEURON simulator.

MetaCell developed the tool’s graphical user interface NetPyNE GUI, which enables researchers to do everything they would normally do programmatically straight from a state-of-the-art and easy-to-use graphical interface. Through the web-based GUI, users can intuitively define their network models, visualize cells and networks in 3D, run simulations, and visualize and analyze data.

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"We're excited to see the rapidly growing community of NetPyNE users. One of our ultimate goals is to make this tool user-friendly enough such that the 'non-computational community' can use it to, for example, predict outcomes of specific neuromodulatory techniques, or model circuit deficits underlying specific neuropsychiatric disorders like schizophrenia. The new GUI, developed with our partner MetaCell, is really impressive and is driving the continued success and adoption of the tool."

Salvador Durá-Bernal, Assistant Professor at State University of New York Downstate Health Sciences University

"I'm really excited about your software! I've coded in NEURON and it's a real relief to use a higher-level language. I'll sign up for the mailing list for sure. I had managed to do biophysically realistic neuron models in NEURON but the network parts were just beyond me, so I had anticipated needing to find a modeler to work with, but now it's feeling more like a doable project! Thanks for your ongoing support, I'll surely continue to need it."

Martha Bagnall, PhD, Assistant Professor of Neuroscience, Washington University School of Medicine in St. Louis

"Thank you so much for developing NetPyNE. It made implementing so many things much easier. Thanks also for your email. It's nice to hear from the developer of such an awesome tool."

Dr. Parvin Zarei Eskikand, Research Fellow In Epilepsy Modelling, Biomedical Engineering, The University of Melbourne

"Thank you so much for developing NetPyNE. It made implementing so many things much easier. Thanks also for your email. It's nice to hear from the developer of such an awesome tool."

Dr. Andreas Neef, Group leader "Biophysics of neural computation", Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences

MetaCell