Category Archives: Neuronal activity

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 , , , , , | Leave a comment

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

Annual report of my intuition about the brain (2023)

How does the brain work and how can we understand it? To view this big question from a broad perspective, I’m reporting some ideas about the brain that marked me most during the past twelve months and that, on the … Continue reading

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Two random but interesting papers on neurophysiology with behavior

Bagur, Bourg et al. (2022) from the Bathellier Lab in Paris make the interesting finding that the auditory code is represented as temporal sequences of neuronal activity in early auditory processing stages and as spatial patterns in auditory cortex. I … Continue reading

Posted in Brain machine interface, closed-loop, Data analysis, electrophysiology, hippocampus, machine learning, Network analysis, Neuronal activity, neuroscience, Reviews | Tagged , , , , | Leave a comment

Interesting papers on behavioral timescale synaptic plasticity (theory)

Behavioral timescale synaptic plasticity (BTSP) is a form of single-shot learning observed in hippocampal place cells in mice (Bittner et al., 2015, 2017). This finding is both interesting and inspiring for computational neuroscience for several reasons. In the first place, … Continue reading

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Interesting papers on behavioral timescale synaptic plasticity (experiments)

Behavioral timescale synaptic plasticity (BTSP) is a form of single-shot learning observed in hippocampal place cells in mice (Bittner et al., 2015, 2017). The idea is that post-synaptic activations (“eligibility traces”) are potentiated by a dendritic plateau potential/burst (“instructive signal”) … Continue reading

Posted in Calcium Imaging, Data analysis, electrophysiology, Network analysis, Neuronal activity, Reviews | Tagged , , , | 3 Comments

Interesting papers on online motion correction for calcium imaging

In a living animal, the brain is moving up and down in the skull. This brain motion can be due to breathing, heartbeat, tongue movements, but also due to changes of posture or running. For each brain region and posture, … Continue reading

Posted in Calcium Imaging, Data analysis, Imaging, machine learning, Microscopy, Neuronal activity, neuroscience | Tagged , , , , | 4 Comments

Annual report of my intuition about the brain (2022)

How does the brain work and how can we understand it? To view this big question from a broad perspective at the end of each year, I’m reporting some of the thoughts about the brain that marked me most during … Continue reading

Posted in electrophysiology, Network analysis, Neuronal activity, Review, Reviews | Tagged , , | 7 Comments

Ambizione fellowship and an open PhD position

I’m glad to share that I am going to start my own junior research group at the University of Zurich in March 2023! As an Ambizione fellow, I will receive funding for my own salary, some equipment, consumables and a … Continue reading

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

Post-publication review: The geometry of robustness in spiking neural networks

Selected paper: Calaim, Dehmelt, Gonçalves and Machens, The geometry of robustness in spiking neural networks, eLife (2022) The main message: This theoretical neuroscience paper describes an intuitive way how to think about the effect of single spikes in a network … Continue reading

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