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Useful dynamic regimes emerge in recurrent networks

Nature Neuroscience volume 17, pages 487–489 (2014)Cite this article

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The internal dynamics of recurrent cortical circuits is crucial to brain function. We now learn that simply increasing the strengths of recurrent connections shifts neural dynamics to a potentially powerful computational regime.

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Figure 1: Regimes of neural dynamics in a spiking recurrent neural network.

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Authors and Affiliations

  1. Vishwa Goudar and Dean V. Buonomano are in the Departments of Neurobiology and Psychology, Integrative Center for Learning and Memory, Brain Research Institute, University of California, Los Angeles, Los Angeles, California, USA.,

    Vishwa Goudar & Dean V Buonomano

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  1. Vishwa Goudar
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  2. Dean V Buonomano
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Correspondence to Dean V Buonomano.

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Goudar, V., Buonomano, D. Useful dynamic regimes emerge in recurrent networks. Nat Neurosci 17, 487–489 (2014). https://doi.org/10.1038/nn.3679

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