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Tag Archives: theoretical neuroscience
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 brain, neuroscience, research, science, theoretical neuroscience, writing
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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
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
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
Posted in hippocampus, Neuronal activity, Review
Tagged evolution, language, theoretical neuroscience
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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
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
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
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 (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
A blog about neurophysiology 