Mechanisms of Winner-Take-All and Group Selection in Neuronal Spiking Networks

Imagery May Arise from Associations Formed through Sensory Experience: A Network of Spiking Neurons Controlling a Robot Learns Visual Sequences in Order to Perform a Mental Rotation Task

(2016) Jeffrey L. McKinstry et al.   PLoS One

Versatile networks of simulated spiking neurons displaying winner-take-all behavior

(2013) Yanqing Chen et al.   Frontiers in Computational Neuroscience

From Distributed Resources to Limited Slots in Multiple-Item Working Memory: A Spiking Network Model with Normalization

(2012) Z. Wei et al.   JOURNAL OF NEUROSCIENCE

Collective Stability of Networks of Winner-Take-All Circuits

(2010) Ueli Rutishauser et al.   NEURAL COMPUTATION

Computation with Spikes in a Winner-Take-All Network

(2009) Matthias Oster et al.   NEURAL COMPUTATION

State-Dependent Computation Using Coupled Recurrent Networks

(2008) Ueli Rutishauser et al.   NEURAL COMPUTATION

Similarity Effect and Optimal Control of Multiple-Choice Decision Making

(2008) Moran Furman et al.   NEURON

Large-scale model of mammalian thalamocortical systems

(2008) E. M. Izhikevich et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA