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%global _description %{expand:
This Python module contain freestanding implementations of electrostatic
forward models incorporated in LFPy (,

The aim of the LFPykit module is to provide 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
(,, Arbor
(,, or even
LFPy. The LFPykit module can then be more easily incorporated with these
simulators, or in various projects that utilize them such as LFPy
(,, etc.

Its main functionality is providing class methods that return two-dimensional
linear transformation matrices M between transmembrane currents I of
multicompartment neuron models and some measurement Y given by Y=MI.

The presently incorporated volume conductor models have been incorporated in
LFPy (,, as described in
various papers and books:

- Linden H, Hagen E, Leski S, Norheim ES, Pettersen KH, Einevoll GT (2014) LFPy:
a tool for biophysical simulation of extracellular potentials generated by
detailed model neurons. Front. Neuroinform. 7:41. doi: 10.3389/fninf.2013.00041

- Hagen E, Næss S, Ness TV and Einevoll GT (2018) Multimodal Modeling of Neural
Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0.
Front. Neuroinform. 12:92. doi: 10.3389/fninf.2018.00092

- Ness, T. V., Chintaluri, C., Potworowski, J., Leski, S., Glabska, H., Wójcik,
D. K., et al. (2015). Modelling and analysis of electrical potentials recorded
in microelectrode arrays (MEAs). Neuroinformatics 13:403–426. doi:

- Nunez and Srinivasan, Oxford University Press, 2006

- Næss S, Chintaluri C, Ness TV, Dale AM, Einevoll GT and Wójcik DK (2017).
Corrected Four-sphere Head Model for EEG Signals. Front. Hum. Neurosci. 11:490.
doi: 10.3389/fnhum.2017.00490}

Name:           python-lfpykit
Version:        0.5.1
Release:        %autorelease
Summary:        Electrostatic models for multicompartment neuron models

License:        GPL-3.0-or-later
Source0:        %{pypi_source LFPykit}

BuildArch:      noarch

%description %_description

%package -n python3-lfpykit
Summary:        %{summary}
BuildRequires:  python3-devel

%description -n python3-lfpykit %_description

%package doc
Summary:        %{summary}

%description doc
Documentation for %{name}.

%autosetup -n LFPykit-%{version}

find . -type f -name "*.py" -exec sed -i '/^#![  ]*\/usr\/bin\/env.*$/ d' {} 2>/dev/null ';'

%pyproject_buildrequires -x tests


%pyproject_save_files lfpykit


%files -n python3-lfpykit -f %{pyproject_files}

%files doc
%license LICENSE
%doc examples