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Category Archives: Neuronal activity
Public peer review files
Peer-review is probably the most obscure part of the publication of scientific results. In this blog post, I would like to make the point that the best way to learn about it – except by being directly involved – is … Continue reading
Posted in Calcium Imaging, Imaging, machine learning, Microscopy, Neuronal activity, Review
Tagged deep learning, Microscopy, neuroscience, peer review
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Large-scale calcium imaging & noise levels
Calcium imaging based on two-photon scanning microscopy is a standard method to record the activity of neurons in the living brain. Due to the point-scanning approach, sampling speed is limited and the dwell time on a single neuron reduces with … Continue reading
Posted in Calcium Imaging, Data analysis, Imaging, Microscopy, Neuronal activity
Tagged Calcium Imaging, Data analysis, Microscopy, photons, Scanning
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5 reasons why to use Cascade for spike inference
Our paper on A database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging is out now in Nature Neuroscience. It consists of a large and diverse ground truth database with simultaneous calcium imaging and juxtacellular recordings … Continue reading
Fast scanning, triplet states and photon yield
In point-scanning microscopy like two-photon or confocal microscopy, a focused laser beam is scanned across the field of view and thereby sequentially recovers an image of the object. In this blog post, I will discuss the idea that scanning faster … Continue reading
Posted in Calcium Imaging, Imaging, Microscopy, Neuronal activity
Tagged Calcium Imaging, Microscopy, photons, Scanning, zebrafish
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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
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
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
Posted in Data analysis, machine learning, Network analysis, Neuronal activity, Reviews
Tagged complexity, deep learning, evolution, self-organization
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Hodgkin-Huxley model in current clamp and voltage clamp
As a short modeling session for an electrophysiology course at the University of Zurich, I made a tutorial for students to play around with the Hodgkin-Huxley equations in a Colab Notebook / Python, which does not require them to install … Continue reading
Posted in electrophysiology, Neuronal activity
Tagged action potential, electrophysiology, Python
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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
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
A blog about neurophysiology 