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Working with suite2p segmented functional images

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
__pycache__
__pycache__
 
 
-.o
-.o
 
 
CCM.ipynb
CCM.ipynb
 
 
CCM.py
CCM.py
 
 
IS.py
IS.py
 
 
KuramotoSimulation_PyDSTool.py
KuramotoSimulation_PyDSTool.py
 
 
Misc1.ipynb
Misc1.ipynb
 
 
Misc2.ipynb
Misc2.ipynb
 
 
Misc3.ipynb
Misc3.ipynb
 
 
Misc4.ipynb
Misc4.ipynb
 
 
Misc5.ipynb
Misc5.ipynb
 
 
Misc6.ipynb
Misc6.ipynb
 
 
Misc7.ipynb
Misc7.ipynb
 
 
Mutant_analysis.ipynb
Mutant_analysis.ipynb
 
 
README.md
README.md
 
 
S_conn.ipynb
S_conn.ipynb
 
 
admin_functions.py
admin_functions.py
 
 
aswin_IS.txt
aswin_IS.txt
 
 
avalanches.ipynb
avalanches.ipynb
 
 
avalanches.py
avalanches.py
 
 
avfig2.ipynb
avfig2.ipynb
 
 
avfig3.ipynb
avfig3.ipynb
 
 
avfig4.ipynb
avfig4.ipynb
 
 
avfig5.ipynb
avfig5.ipynb
 
 
avfig6.ipynb
avfig6.ipynb
 
 
avfig_supp.ipynb
avfig_supp.ipynb
 
 
cde_net_ictals.ipynb
cde_net_ictals.ipynb
 
 
cells.ipynb
cells.ipynb
 
 
cells.py
cells.py
 
 
classify.ipynb
classify.ipynb
 
 
detect.ipynb
detect.ipynb
 
 
distribution_compare.py
distribution_compare.py
 
 
extract.py
extract.py
 
 
extract_tail_angle.ipynb
extract_tail_angle.ipynb
 
 
fish_net.ipynb
fish_net.ipynb
 
 
fish_net_functions.py
fish_net_functions.py
 
 
fish_net_functions.pyc
fish_net_functions.pyc
 
 
graveyard.py
graveyard.py
 
 
kuramoto1.py
kuramoto1.py
 
 
matts_matrix_functions.py
matts_matrix_functions.py
 
 
matts_network_functions.py
matts_network_functions.py
 
 
net_dimensionality.ipynb
net_dimensionality.ipynb
 
 
net_dyn.ipynb
net_dyn.ipynb
 
 
net_mod.ipynb
net_mod.ipynb
 
 
network.ipynb
network.ipynb
 
 
network_mod.py
network_mod.py
 
 
phases.png
phases.png
 
 
plot.py
plot.py
 
 
populations.ipynb
populations.ipynb
 
 

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suite2p_analysis_py

Working with suite2p segmented functional images

Modules containing functions for single/multi-cellular analysis of seizure data from suite2p output ipynotebooks provide examples of how modules are used

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Working with suite2p segmented functional images

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  • Jupyter Notebook 99.8%
  • Python 0.2%