Netpyne implementation and scaling of the potjans-diesmann cortical microcircuit model

Netpyne implementation and scaling of the potjans-diesmann cortical microcircuit model

The Potjans-Diesmann cortical microcircuit model is a widely used model originally implemented in NEST. Here, we reimplemented the model using NetPyNE, a high-level Python interface to the NEURON simulator, and reproduced the findings of the original publication. We also implemented a method for sca...

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Bibliographic Details
Main Authors: Dura-Bernal, S. (Author), Lytton, W.W (Author), Najman, F.A (Author), Romaro, C. (Author), Roque, A.C (Author)
Format: Article
Language:English
Published: MIT Press Journals 2021
Subjects:
biological model
Computer aided software engineering
Computer software
Cortical microcircuits
Declarative Languages
Electrophysiology
Information flows
Local field potentials
Models, Neurological
Multiscale interactions
nerve cell
Neurons
Optimizing models
Python interfaces
Second order statistics
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