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Category Archives: Network analysis
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
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
Posted in Network analysis, Neuronal activity, Reviews
Tagged theoretical neuroscience
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Annual report of my intuition about the brain (2021)
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
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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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
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
Precise synaptic balance of excitation and inhibition
The main paper of my PhD just got published: Rupprecht and Friedrich, Precise Synaptic Balance in the Zebrafish Homolog of Olfactory Cortex, Neuron (2018). (PDF) You might like it if you are also interested in Classical balanced networks Things you … Continue reading
Entanglement of temporal and spatial scales in the brain, but not in the mind
In physics, many problems can be solved by a separation of scales and thereby become tractable. For example, let’s have a look at surface waves on water: they are rather easy to understand when the water wave-length is much larger … Continue reading
Open access 3D electron microscopy datasets of brains
One of the coolest technical developments in neuroscience during the last decade has been driven by 3D electron microscopy (3D EM). This allowed to cut large junks of small brains (or small junks of big brains) into 8-50 nm thick … Continue reading
Posted in Data analysis, machine learning, Microscopy, Network analysis, zebrafish
Tagged Data analysis, Microscopy, Network analysis, zebrafish
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The basis of feature spaces in deep networks
In a new article on Distill, Olah et al. write up a very readable and useful summary of methods to look into the black box of deep networks by feature visualization. I had already spent some time with this topic … Continue reading
Posted in machine learning, Network analysis, Neuronal activity
Tagged CNN, deep learning, machine learning, Network analysis, Python
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A blog about neurophysiology 