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<p>UCLA-SFINX is a neural network simulation environment that enables users to simulate a wide variety of neural network models at various levels of abstraction. A network specification language enables users to construct arbitrary network structures. Small, structurally irregular networks can be modeled by explicitly defining each neuron and can be modeled by explicitly defining each neuron and corresponding connections. Very large networks with regular connectivity patterns can be implicitly specified using array constructs. Graphics support, based on X Windows System, is provided to visualize simulation results. Details of the simulation environment are described, and simulation examples are presented to demonstrate SFINX's capabilities.</p>
graphics supports; software environment; computational neural systems; UCLA-SFINX; simulation environment; network specification language; arbitrary network structures; array constructs; X Windows System; digital simulation; formal specification; neural nets; programming environments; specification languages

E. Mesrobian and J. Skrzypek, "A Software Environment for Studying Computational Neural Systems," in IEEE Transactions on Software Engineering, vol. 18, no. , pp. 575-589, 1992.
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