Lecture
Quality of Integrate-and-Fire Models
Description
This lecture delves into the assessment of Integrate-and-Fire models in computational neuroscience, exploring their quality through comparisons with experimental data, mathematical descriptions, and predictions. Various types of Integrate-and-Fire models are discussed, including linear, nonlinear, and quadratic models, highlighting the importance of incorporating adaptation, noise, and dendrites/synapses for accurate predictions.
In MOOCs (2)
Neuronal Dynamics - Computational Neuroscience of Single Neurons
The activity of neurons in the brain and the code used by these neurons is described by mathematical neuron models at different levels of detail.
Neuronal Dynamics - Computational Neuroscience of Single Neurons
The activity of neurons in the brain and the code used by these neurons is described by mathematical neuron models at different levels of detail.
Instructor
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