3 Way Neuroscience model

[w-klijn]

Aspect	Detail
Summary	The set of three neuroscience models to be run in the three way multi-scale co-simulation.
Task Area	Configuration
Assignee	Wouter Klijn
Information	w.klijn@fz-juelich.de
Prerequisites
Dependencies

Summary

The set of three neuroscience models to be run in the three way multi-scale co-simulation. The model will be a simple torus network, where three different sections will be simulated with the simulators: NEST, Arbor, TVB. The model can be scaled to arbitrary large scales without changing the basic dynamics (spike rate) of the model. It exercises all possible combination of simulators. Can be generated at runtime without depending on external data sources. Generation is random number generation limited and should thus have a minimal build time.

Requirements

Existing models should be collected on a single place. The connection description between the different scales should be available.

Tasks

• [ ] NEST model
• [ ] Arbor model
• [ ] TVB model
• [ ] Connection between scales description
• [ ] Investigation translation between scales
• [ ] TVB - NEST Model
• [ ] TVB - Arbor Model
• [ ] NEST - Arbor
• [ ] Multi-scale model description

Acceptance criteria

This issue is complete if the models are available. It does not have to run in the co-simulation framework. The models should be available in some shape or form. This information will allow us to define a description for the models.

[lionelkusch]

My suggestion model for the model for TVB is Mean Adaptation Exponential : https://doi.org/10.1162/neco_a_01173 . For Nest, the model of neurons is the adaptive exponential integrate and fire neurons with exponential conductance synapse. ( aeif_cond_exp)