Neural Population Model
Neuronal population models refer to a class of models that describe the temporal evolution of one or more statistical moments that characterize the dynamical state of interconnected populations of neurons. Existing neuronal population models, for mathematical tractability and direct connection with experiment, are generally restricted to the temporal evolution of mean quantities such as the mean firing rate or mean (soma) membrane potential over an appropriately defined neural ensemble. Such an ensemble is typically defined in terms of the physical domain over which the activity of functionally identical neurons can be, statistically speaking, assumed spatially homogeneous.
By postulating that, in analogy to the collective phenomena of atomic interaction underpinning ferromagnetism, neurons acted cooperatively, Cragg and Temperley (1954) provided the first clear rationale for modeling the collective behavior of populations of neurons. They...
KeywordsConvolution Lamination Meso Peaked Summing
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