One dimensional cellular array of in-plane spin torque oscillators

Horváth, András; Stubendek, Attila; Roska, Tamás

doi:10.1109/nano.2013.6720885

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Computing Via Synchronization1

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2014

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“…In case of static input the nodes of the oscillatory-network will synchronize after a given time. In case of continuous variable input in time the synchronization might not occur, or it might be disrupted, the presence of relatively constant synchronization also encodes information [3].…”

Section: Computing Via Synchronizationmentioning

confidence: 99%

Spatial-temporal event detection via frameless cellular wave computing - a review

Horváth

Koller

Stubendek

et al. 2014

NOLTA

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The great majority of currently used computational models and devices are using discrete computation. Discrete in time, in value , in parameters. In nature, on the contrary, like in the mammalian retina, difficult tasks are solved with simplicity, low power and elegance, in a wavelike manner, without discretization. Spatial-temporal event detection is a prototype problem in many sophisticated problems of recognition, identification, associative memory, machine-vision, multimodal sensory systems, navigation, and control. In this paper we introduce how continuous spatial-temporal dynamics can be used as algorithmic tools for computation and show a few examples about their usage in practice. These techniques introduce a new kind of thinking also in the field on nonlinear dynamical systems, in general.

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Section: Computing Via Synchronizationmentioning

confidence: 99%