Analysis of the equilibrium properties of a continuous neural network made of excitatory and inhibitory neurons

Filho, Antonio Carvalho

doi:10.1088/0954-898x_3_3_004

Network: Computation in Neural Systems

1992

DOI: 10.1088/0954-898x_3_3_004

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Analysis of the equilibrium properties of a continuous neural network made of excitatory and inhibitory neurons

Antonio Carvalho Filho

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Cited by 2 publications

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Modeling cortical maps with Topographica

Bednar¹,

Choe²,

Paula³

et al. 2004

Neurocomputing

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The biological function of cortical neurons can often be understood only in the context of large, highly interconnected networks. These networks typically form two-dimensional topographic maps, such as the retinotopic maps in the visual system. Computational simulations of these areas have led to valuable insights about how cortical topography develops and functions, but further progress is difficult because appropriate simulation tools are not available. This paper introduces the freely available Topographica map-level simulator, currently under development at the University of Texas at Austin. Topographica is designed to make large-scale, detailed models practical. The goal is to allow neuroscientists and computational scientists to understand how topographic maps and their connections organize and operate. This understanding will be crucial for integrating experimental observations into a comprehensive theory of cortical function.

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Modeling cortical maps with Topographica

Bednar¹,

Choe²,

Paula³

et al. 2004

Neurocomputing

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show abstract

Neural networks as spatio-temporal pattern-forming systems

1998

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Analysis of the equilibrium properties of a continuous neural network made of excitatory and inhibitory neurons

Cited by 2 publications

References 15 publications

Modeling cortical maps with Topographica

Modeling cortical maps with Topographica

Neural networks as spatio-temporal pattern-forming systems

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