Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
GENESIS: a system for simulating neural networks
Advances in neural information processing systems 1
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
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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.