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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...
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...
In some recent posts, we have applied a specific type of integrate-and-fire neuron model, the iaf_psc_alpha model implemented in the NEST simulator, to simul...
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