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SpikeInference
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Quantifying uncertainty for spikes estimated from calcium imaging data |
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construct_v()
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Generate the contrast vector for testing the null hypothesis of interest.
See Section 2 of Chen et al. (2021+) for details. |
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estimate_spike_by_firing_rate()
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Search for the right tuning parameter lambda to meet the target firing rate |
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plot(<simdata>)
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Plot simulated data |
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plot(<spike_estimates>)
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Plot the solution to an L0 segmentation problem |
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plot(<spike_inference>)
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Plot the result of quantifying the uncertainty of spikes estimated via an L0 penalty |
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print(<simdata>)
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Print simulated data |
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simulate_ar1()
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Simulate fluorescence trace based on a simple AR-1 generative model |
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spike_estimates()
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Estimate spikes with an L0 penalty |
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spike_inference()
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Estimation and inference for AR-1 spike problem using an L0 penalty |
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summary(<spike_estimates>)
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Summarize the solution to an L0 segmentation problem |
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summary(<spike_inference>)
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Summarize the inference result for spikes estimated via an L0 inference problem |