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Tag Archives: Data analysis
Displaying the hippocampus as EM image on the office wall
One of the most amazing methods in modern neuroscience is dense volumetric electron microscopy of the brain. I have mentioned some openly accessible datasets before (see my previous blog post), but many additional datasets have been released since then – … Continue reading
Posted in Data analysis, hippocampus, Imaging, Microscopy, Network analysis, neuroscience
Tagged Data analysis, Microscopy
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Interesting papers on VIP interneurons in cortex and hippocampus
Interneurons are inhibitory neurons in the brain that are thought to shape the computations performed by principal cells. The effects of inhibition can be rather diverse, depending on which neurons – or which parts of a neuron (dendrites, soma, or … Continue reading
Posted in Calcium Imaging, Data analysis, hippocampus, Imaging, Neuronal activity, neuroscience, Reviews
Tagged Calcium Imaging, Data analysis
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Accurately computing noise levels for calcium imaging data
It is fascinating how much data quality can vary between different calcium imaging data sets. In this blog post, I will discuss a metric to quantify and compare data quality and in particular shot noise between calcium imaging datasets. This … Continue reading
Open PhD position in my research group
Are you a finishing Master’s student with a quantitative background and are interested in neuroscience? This is your opportunity. Project: You will be supervised by Dr. Peter Rupprecht and Prof. Fritjof Helmchen at the Brain Research Institute, University of Zurich. … Continue reading
How to compute ΔF/F from calcium imaging data
Many neuroscientists use calcium imaging to record the activity from neurons (or other cells in the brain). The video below was recorded by Sian Duss and me in hippocampal CA1 pyramidal cells in mice. To make calcium imaging traces comparable … Continue reading
Posted in Calcium Imaging, Data analysis, hippocampus, Imaging, Microscopy, neuroscience
Tagged Calcium Imaging, Data analysis
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Online spike inference with GCaMP8
Calcium imaging is used to record the activity of neurons in living animals. Often, these activity patterns are analyzed after the experiments to investigate how the brain works. Alternatively, it is also possible to extract the activity patterns in real … Continue reading
Detecting single spikes from calcium imaging
There are two mutually exclusive holy grails of calcium imaging: First, recording from the highest number of neurons simultaneously. Second, detecting spike patterns with single-spike precision. This blog post focuses on the latter. Many studies have claimed to demonstrate single-spike … Continue reading
Non-linearity of calcium indicators: history-dependence of spike reporting
Calcium indicators are used to report the calcium concentration inside single cells. In neurons, calcium imaging can be used as a readout of neuronal activity (action potentials). However, some calcium indicators like GCaMP transform the calcium concentration of a cell … Continue reading
Spike inference with GCaMP8: new pretrained models available
Calcium imaging is only an indirect readout of neuronal activity via fluorescence signals. To estimate the true underlying firing rates of these neurons, methods for “spike inference” have been developed. They are useful to denoise calcium imaging data and make … Continue reading
A collaborative review on error signals in predictive processing
Predictive processing is one of the most influential ideas from computational neuroscience for the experimental neurosciences. However, definitions of predictive processing vary broadly, to the extent that “predictive coding” is used sometimes in a very narrow sense (there are specific … Continue reading
A blog about neurophysiology 