Winner-Take-All Computation in Spiking Neural Networks

25 Apr 2019 Nancy Lynch Cameron Musco Merav Parter

In this work we study biological neural networks from an algorithmic perspective, focusing on understanding tradeoffs between computation time and network complexity. Our goal is to abstract real neural networks in a way that, while not capturing all interesting features, preserves high-level behavior and allows us to make biologically relevant conclusions... (read more)

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