Category Archives: neuroscience

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

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How to use Google Scholar as a neuroscientist

Google Scholar is a search engine for scientific publications. There are alternatives like PubMed (not a search engine but a database, often used in the medical field), Semantic Scholar (also a database, but with richer annotations), Citation Gecko (to discover … Continue reading

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Annual report of my intuition about the brain (2024)

The brain is a complex system that cannot be understood by a strictly structured approach. Knowledge must grow organically, and a systematic approach can sometimes hinder understanding. In formal education, this truth is often hidden because curricula and instructors provide the structuring of knowledge already. But when it comes to acquiring new knowledge and insight, rather than merely processing and assembling pre-existing knowledge, this systematic approach must be continuously interrupted and re-invented to enable real progress. Continue reading

Posted in Data analysis, Neuronal activity, neuroscience, Reviews | Tagged , , , , , | 6 Comments

A resource paper for building two-photon microscopes

The article discusses the challenges in learning to build microscopes, highlighting a manuscript by Schottdorf et al. that offers practical assembly instructions and rationale based on years of successful use. It emphasizes useful insights, such as design suggestions, performance compromises, and comprehensive documentation on GitHub, making it a valuable resource for researchers. Continue reading

Posted in Calcium Imaging, Imaging, Microscopy, neuroscience | Tagged , , , , , , | 1 Comment

How to do science according to Ardem Patapoutian

Ardem Patapoutian is a neuroscientist who works on the molecular basis of sensation via mechanosensitive ion channels. In 2021, he was one of the recipients of the Nobel prize, at a relatively young age. He has since used his influence … Continue reading

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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

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Four interesting papers on astrocyte physiology

A review of four interesting recent papers on astrocyte neuroscience: (1) Norepinephrine Signals Through Astrocytes To Modulate Synapses (2) A spatial threshold for calcium surge (3) Network-level encoding of local neurotransmitters in cortical astrocytes, and (4) Continue reading

Posted in Calcium Imaging, Data analysis, hippocampus, Imaging, Microscopy, Neuronal activity, neuroscience, Reviews, zebrafish | Tagged , , , | 1 Comment

There is no recipe for discoveries

There is no recipe for discoveries, and there is no cookbook on how to publish a paper. But at least there are typical events and routes that are often encountered. Here, I’d like to share the trajectory of a study … Continue reading

Posted in Calcium Imaging, Data analysis, hippocampus, Imaging, machine learning, Microscopy, neuroscience, Review | Tagged , , | 8 Comments

Why your two-photon images are noisier than you expect

A gallery of calcium imaging recordings of neurons and astrocytes with single noisy frames on the left and averaged beautiful noise-free images on the right side. Continue reading

Posted in Calcium Imaging, Data analysis, hippocampus, Imaging, Microscopy, Neuronal activity, neuroscience, zebrafish | Tagged , , , , , | 22 Comments

Three recent interesting papers on computational neuroscience

Three papers:
1. The Neuron as a Direct Data-Driven Controller
2. A learning algorithm beyond backpropagation
3. Continuous vs. discrete representations in a recurrent network Continue reading

Posted in machine learning, Network analysis, Neuronal activity, neuroscience, Reviews, zebrafish | Tagged , , , , | 3 Comments