The network of the human nervous system is composed of nodes (for example, neurons) that are connected by links (for example, synapses). The connectivity may be viewed anatomically, functionally, or electrophysiologically. These are presented in several Wikipedia articles that include Connectionism (a.k.a. Parallel Distributed Processing (PDP)), Biological neural network, Artificial neural network (a.k.a. Neural network), Computational neuroscience, as well as in several books by Ascoli, G. A. (2002),[1] Sterratt, D., Graham, B., Gillies, A., & Willshaw, D. (2011),[2] Gerstner, W., & Kistler, W. (2002),[3] and David Rumelhart, McClelland, J. L., and PDP Research Group (1986)[4] among others. The focus of this article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective and connectivity is chosen, the models are developed at microscopic (ion and neuron), mesoscopic (functional or population), or macroscopic (system) levels. Computational modeling refers to models that are developed using computing tools.
- ^ Ascoli, G.A. (Ed). (2002). Computational Neuroanatomy: Principles and Methods. Totowa, New Jersey: Humana Press.
- ^ Sterratt, D., Graham, B., Gillies, A., & Willshaw, D. Ch 9 (2011). Principles of Computational Modelling in Neuroscience, Chapter 9. Cambridge, U.K.: Cambridge University Press.
- ^ Gerstner, W. and Kistler, W. (2002). Spiking Neuron Models, Chapter 9. Cambridge, U. K.: Cambridge University Press.
- ^ Rumelrhart, D., McClelland, J. L., & the PDP Research Group (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 1: Foundations. Cambridge: The MIT Press.
