About

Code to make the NEST ADEXP single cell model optimizable via NeuronUnit and BluePyOpt.

Install:

To test interopability

• Install NEST https://nest-simulator.readthedocs.io/en/stable/installation/linux_install.html
• Install sciunit
• Install Neo, quantities

pip install git+https://github.com/russelljjarvis/sciunit@dev

Preliminary Run

python test_interface.py python spike_current_search.py

DONE

• Some basic NEST/NU interoperability
• Inject current
• Get spike Count
• set model parameters
• RheobaseTest generate prediction,
• SpikeCurrentSearch Generate Prediction.

TODO

• Find sensible NEST, Adexp parameter range.
• score a NU test against NEST model
• Run current search algorithm against NEST model
• Optimize a NEST model

Future: to Do a BPO data driven optimization on the reduced model via NU model scoring

• Install BPO
• Install sciunit
• Install neuronunit

pip install git+https://github.com/russelljjarvis/sciunit@dev
pip install git+https://github.com/russelljjarvis/BluePyOpt@neuronunit_reduced_cells
pip install git+https://github.com/russelljjarvis/neuronunit