LFPykit showcase

Demonstration on how to run predictions using LFPykit (LFPykit.rtfd.io, github.com/LFPy/LFPkit) on the Collaboratory. 

The LFPykit module provides electrostatic models in a manner that facilitates forward-model predictions of extracellular potentials and related measures from multicompartment neuron models, but without explicit dependencies on neural simulation software such as NEURON (https://neuron.yale.edu, https://github.com/neuronsimulator/nrn), Arbor (https://arbor.readthedocs.io, https://github.com/arbor-sim/arbor), and LFPy (https://LFPy.readthedocs.io, https://github.com/LFPy/LFPy)

To use this material, create a new collab and clone https://github.com/LFPy/LFPykit into it. Then the Python module can be installed as

!pip install .  # or pip install LFPykit

in a jupyter notebook. Different usage with LFPy, NEURON and Arbor are provided in different notebooks located in the examples directory. Missing packages resulting in ImportError and similar can usually be installed issuing

!pip install <missing-package-name>

which may require a kernel restart to take effect.