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 ...
Both long-term potentiation (LTP) and long-term depression (LTD) are forms of synaptic plasticity, which refers to the abi...
The Bienenstock-Cooper-Munro (BCM) rule is a cornerstone in theoretical neuroscience, offering a comprehensive framework f...
The Campbell and Siegert approximation is a method used in computational neuroscience to estimate the firing rate of a neu...
The exponential Integrate-and-Fire (EIF) model is a simplified neuronal model that captures the essential dynamics of acti...
In their work ‘Simple Networks for Spike-Timing-Based Computation, with Application to Olfactory Processing’ from 2003, Br...
In this short tutorial, we will explore the concept of frequency-current (f-I) curves exemplified by the Hodgkin-Huxley ne...
In some recent posts, we have applied a specific type of integrate-and-fire neuron model, the iaf_psc_alpha model implemen...
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