Stabilized supralinear network can give rise to bistable, oscillatory, and persistent activity
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DOI: 10.1073/pnas.1700080115
Abstract: Significance Many fundamental neural computations from normalization to rhythm generation emerge from the same cortical hardware, but they often require dedicated models to explain each phenomenon. Recently, the stabilized supralinear network (SSN) model has been… read more here.
Keywords: ssn model; network; stabilized supralinear; model ... See more keywords