C. Borgers. An introduction to modeling neuronal dynamics. Springer, 2017.C. Borgers, An Introduction to Modeling Neuronal Dynamics, Heidelberg, Springer, 2017. https://doi.org/10.1007/978-3-319-51171-9Borgers C. An introduction to modeling neuronal dynamics. Cham: Springer; 2017.
For a thorough introduction to the modeling of neuronal dynamics, including the wide variety of neuron models found in the texts we discuss later, we refer interested readers to the standard text found in Gerstner, Kistler, Naud, and Paninski (2014)....
Introduction to DynamicCausal Modeling 118 5.1.1 DynamicCausal Modelsfor Functional Magnetic Resonance Imaging 121 5.1.2 Dynamic Causal Models for Electrophysiological Data 122 5.1.3 Model Comparison 123 5.1.3.1 Model Family Comparison 125 ...
By design, these studies were conducted under carefully controlled experimental conditions. They employed a small set of stimuli and categories within a narrow context which allowed researchers to use custom-built, domain-specific classifiers. However, to bridge the gap to real-world education we need...
Animals are not simple input-output machines. Their responses to even very similar stimuli are variable. A key, long-standing question in neuroscience is to understand the neural correlates of such behavioral variability. To reveal these correlates, beha
(e.g., perpendicular). This means that some locations in the cortex are easier to stimulate than others using this technique. The artificial and temporary lesion of the target zone allows identifying the behavioral effect. TMS is often applied repeatedly for changing induced neuronal excitability ...
The external input, b∈RN, carries sensory information about the animal’s location or self-motion, modeling idealistic neuronal inputs from the upstream entorhinal cortex. The recurrent excitation, Wf(u), provides the internal network drive. The weight matrix, W∈RN×N, represents the strength ...
Such a way of modeling is called the directed network with a bipartite structure, as shown in Figures 1(a) and 1(b). Specifically, each node vi in a directed network contains ai in set A and bi in set B in a bipartite structure. A directed link goes from vi to vj (vi⟶vj) ...
For a thorough introduction to the modeling of neuronal dynamics, including the wide variety of neuron models found in the texts we discuss later, we refer interested readers to the standard text found in Gerstner, Kistler, Naud, and Paninski (2014). In the remainder of this review, we ...
2023,Introduction to Quantitative EEG and Neurofeedback (Third Edition) Chapter The brain is conscious 7.3Neurofeedback Neurofeedback trainingis defined as learning to control brain events by giving sensory (conscious) feedback, contingent on the event. Simply by holding a thermometer one can learn...