An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons
Cognitive Computation, Volume 9, Issue 3, 2017, Pages 351-363.
Attractor dimensionalityRecurrent neural network dynamicsActivity visualizationDriven networksDimensionality embedding
Continuous-time recurrent neural networks are widely used as models of neural dynamics and also have applications in machine learning. But their dynamics are not yet well understood, especially when they are driven by external stimuli. In this article, we study the response of stable and unstable networks to different harmonically oscilla...More
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