I’ve added two new tutorials in the teaching section. The first one is about the statistical data analysis with the Pandas and Pingouin package. The second one is about basic time series analysis with the NumPy and Matplotlib package.
Statistical data analysis tutorial
I’ve also added a Further readings list to the Python Neuro-Practical course material.
We just completed a new two-day course on Dimensionality Reduction in Neuroscience, and I am pleased to announce that the full teaching material is now freel...
Both long-term potentiation (LTP) and long-term depression (LTD) are forms of synaptic plasticity, which refers to the ability of synapses to change their st...
The Bienenstock-Cooper-Munro (BCM) rule is a cornerstone in theoretical neuroscience, offering a comprehensive framework for understanding synaptic plasticit...
The Campbell and Siegert approximation is a method used in computational neuroscience to estimate the firing rate of a neuron given a certain input. This app...
Our new preprint on Three-photon in vivo imaging of neurons and glia in the medial prefrontal cortex with sub-cellular resolution is out! In our study, we sh...
The exponential Integrate-and-Fire (EIF) model is a simplified neuronal model that captures the essential dynamics of action potential generation. It extends...
In their work ‘Simple Networks for Spike-Timing-Based Computation, with Application to Olfactory Processing’ from 2003, Brody and Hopfield proposed a simple ...
In this short tutorial, we will explore the concept of frequency-current (f-I) curves exemplified by the Hodgkin-Huxley neuron model. The f-I curve describes...
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