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20122021
most citedWinner-Take-All Computation in Spiking Neural Networks

10 citations · 18 across the 10 of their papers we have counts for

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cs.DC20191 cited

How to Color a French Flag--Biologically Inspired Algorithms for Scale-Invariant Patterning

Alberto Ancona, Ayesha Bajwa, Nancy Lynch +1

In the French flag problem, initially uncolored cells on a grid must differentiate to become blue, white or red. The goal is for the cells to color the grid as a French flag, i.e.,…

cs.DC201910 cited

Winner-Take-All Computation in Spiking Neural Networks

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 t…

cs.DC2019

Integrating Temporal Information to Spatial Information in a Neural Circuit

Nancy Lynch, Mien Brabeeba Wang

In this paper, we consider networks of deterministic spiking neurons, firing synchronously at discrete times; such spiking neural networks are inspired by networks of neurons and s…

cs.DC2018

Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory

Lili Su, Martin Zubeldia, Nancy Lynch

We consider multi-armed bandit problems in social groups wherein each individual has bounded memory and shares the common goal of learning the best arm/option. We say an individual…

cs.DC2018

On Simple Back-Off in Unreliable Radio Networks

Seth Gilbert, Nancy Lynch, Calvin Newport +1

In this paper, we study local and global broadcast in the dual graph model, which describes communication in a radio network with both reliable and unreliable links. Existing work…

cs.DC2016

Information-Theoretic Lower Bounds on the Storage Cost of Shared Memory Emulation

Viveck R. Cadambe, Zhiying Wang, Nancy Lynch

The focus of this paper is to understand storage costs of emulating an atomic shared memory over an asynchronous, distributed message passing system. Previous literature has develo…