GitHub - ModelDBRepository/263236: Mean-Field models of conductance-based NNs of spiking neurons with adaptation (di Volo et al 2019)

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Mean-Field models of conductance-based NNs of spiking neurons with adaptation (di Volo et al 2019)

modeldb.science/263236

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
data		data
MF_simulation.py		MF_simulation.py
Theory_sine.npy		Theory_sine.npy
cell_library.py		cell_library.py
readme.html		readme.html
syn_and_connec_library.py		syn_and_connec_library.py
theoretical_tools.py		theoretical_tools.py

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<html>
This is the readme for the model associated with the paper:

<p>Volo MD, Romagnoni A, Capone C, Destexhe A (2019) Biologically
Realistic Mean-Field Models of Conductance-Based Networks of Spiking
Neurons with Adaptation. Neural Comput 31:653-680<br/>
<a href="http://cognet.mit.edu/pdfviewer/journal/neco_a_01173">http://cognet.mit.edu/pdfviewer/journal/neco_a_01173</a>
</p>
<p>This archive was contributed by M di Volo.
</p>
<p>Launch the program MF_simulation.py
</p>
<p>The program simulates the Mean field model and its response to
external stimuli with exponential rise and decay, as in Fig. 3A1 of di
Volo et al. Neural Comp. 2019.</p>
</html>