A neural cocktail-party processor
Biological Cybernetics
Phase equations for relaxation oscillators
SIAM Journal on Applied Mathematics
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Temporal coding: Assembly formation through constructive interference
Neural Computation
Temporal coding: Assembly formation through constructive interference
Neural Computation
Assemblies as Phase-Locked Pattern Sets That Collectively Win the Competition for Coherence
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Temporal coding: competition for coherence and new perspectives on assembly formation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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Temporal coding requires an appropriate combination of synchronizing and desynchronizing mechanisms. We study temporal coding with a desynchronizing mechanism, referred to as acceleration, that causes the units of the network to oscillate with higher phase velocity in case of stronger and/or more coherent input. Recently, it was demonstrated that combining synchronization with acceleration implies a competition for coherence that has a profound and favorable effect on the segmentation of overlapping patterns. Here, we demonstrate, first, an effect of coupling non-identical oscillators. Second, we discuss how including inhibitory couplings enforces the segmenting effect of acceleration. Third, we show how stronger couplings between the units of a pattern may support it in winning this competition for coherence.