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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Convergence and rate analysis of neural networks for sparse approximation

Aurèle Balavoine, Justin Romberg, Christopher J Rozell

    IEEE Transactions on Neural Networks and Learning Systems
    |November 8, 2013
    PubMed
    Summary

    The Locally Competitive Algorithm (LCA), a neural network for sparse approximation, is proven to be stable and globally convergent. Its solution support is reached in finite time, with exponentially fast convergence rates.

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