GGNB-python-course

GGNB Short Method Course "Spike-train analysis with Python" in the Gollisch Lab

Wed	Thu	Fri
Welcome (TG) Intro to Python (AKS/BC)	Working with stimuli (RH/BC)	STA (SS/RH)
Spike train basics (AKS/BC)	Lab tour Miniproject 1 (RH/BC) [DS cells]	Miniproject 2 (SS/RH) [LN Model]

Name		Name	Last commit message	Last commit date
Latest commit History 210 Commits
_intern		_intern
data_LN_model		data_LN_model
data_drifting_grating		data_drifting_grating
data_on_off_steps		data_on_off_steps
data_spike_trains		data_spike_trains
images		images
legacy		legacy
.gitignore		.gitignore
README.md		README.md
day1_1_intro.ipynb		day1_1_intro.ipynb
day1_1_intro_solutions.ipynb		day1_1_intro_solutions.ipynb
day1_2_spike_train_basics.ipynb		day1_2_spike_train_basics.ipynb
day1_2_spike_train_basics_solutions.ipynb		day1_2_spike_train_basics_solutions.ipynb
day2_0_warmup.ipynb		day2_0_warmup.ipynb
day2_0_warmup_solutions.ipynb		day2_0_warmup_solutions.ipynb
day2_1_working_with_stimuli.ipynb		day2_1_working_with_stimuli.ipynb
day2_1_working_with_stimuli_solutions.ipynb		day2_1_working_with_stimuli_solutions.ipynb
day2_2_drifting_gratings.ipynb		day2_2_drifting_gratings.ipynb
day2_2_drifting_gratings_solutions.ipynb		day2_2_drifting_gratings_solutions.ipynb
day3_1_STA.ipynb		day3_1_STA.ipynb
day3_1_STA_solutions.ipynb		day3_1_STA_solutions.ipynb
day3_2_Linear-nonlinear model.ipynb		day3_2_Linear-nonlinear model.ipynb
day3_2_Linear-nonlinear model_solutions.ipynb		day3_2_Linear-nonlinear model_solutions.ipynb
day3_3_Last_bit.ipynb		day3_3_Last_bit.ipynb

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