Category Archives: Data analysis

Online spike rate inference with Cascade

To infer spike rates from calcium imaging data for a time point t, knowledge about the calcium signal both before and after time t is required. Our algorithm Cascade (Github) uses by default a window that is symmetric in time … Continue reading

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Temporal dispersion of spike rates from deconvolved calcium imaging data

On Twitter, Richie Hakim asked whether the toolbox Cascade for spike inference (preprint, Github) induces temporal dispersion of the predicted spiking activity compared to ground truth. This kind of temporal dispersion had been observed in a study from last year … Continue reading

Posted in Calcium Imaging, Data analysis, machine learning, Microscopy, Neuronal activity | Tagged , , | 1 Comment

Annual report of my intuition about the brain (2020)

How does the brain work and how can we understand it? I want to make it a habit to report some of the thoughts about the brain that marked me most during the past twelve month at the end of … Continue reading

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Interview with Bruno Pichler

Bruno Pichler studied medicine, obtained a PhD in neuroscience, worked in the labs of Arthur Konnerth, Tom Mrsic-Flogel and Troy Margrie, and was R&D manager at Scientifica, before founding his own company, INSS, “to provide the international neuroscience community with … Continue reading

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Simultaneous calcium imaging and extracellular recording from the same neuron

Calcium imaging is a powerful method to record from many neurons simultaneously. But what do the recorded signals really mean? This question can only be properly addressed by experiments which record both calcium signals and action potentials from the same … Continue reading

Posted in Calcium Imaging, Data analysis, electrophysiology, machine learning, Microscopy, Neuronal activity, zebrafish | Tagged , , , , | Leave a comment

Discrepancies between calcium imaging and extracellular ephys recordings

To record the activity from a population of neurons, calcium imaging and extracellular recordings with small electrodes are the two most widely used methods that are still able to disentangle the contributions from single units. Here, I would like to … Continue reading

Posted in Calcium Imaging, Data analysis, electrophysiology, Imaging, Network analysis, Neuronal activity, Reviews | Tagged , | 1 Comment

Matlab magic spells

Most neuroscientists who analyze their data themselves use either Matlab or Python or both – the use of R is much less common than in other fields of biology. I’ve been working with Matlab on a daily basis for >10 … Continue reading

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Annual report of my intuition about the brain (2019)

How does the brain work and how can we understand it? I want to make it a habit to report some of the thoughts about the brain that marked me most during the past twelve month at the end of … Continue reading

Posted in Calcium Imaging, Data analysis, electrophysiology, machine learning, Network analysis, Neuronal activity, Review | Tagged , , , , , , , | 8 Comments

Review: An artificial ground truth for calcium imaging

Selected paper: Charles, Song, Tank et al., Neural Anatomy and Optical Microscopy Simulation (NAOMi) for evaluating calcium imaging methods, bioRxiv (2019). What is the paper about? Calcium imaging is a central method to observe neuronal activity in the brain of … Continue reading

Posted in Calcium Imaging, Data analysis, Imaging, Microscopy, Neuronal activity, Reviews | Tagged , , , , | 2 Comments

The power of correlation functions

During my physics studies, I got to know several mathematical tools that turned out to be extremely useful to describe the world and to analyze data, for example vector calculus, fourier analysis or differential equations. Another tool that I find … Continue reading

Posted in Calcium Imaging, Data analysis, electrophysiology | Tagged , , , , | 4 Comments