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Hidden attractors in dynamical systems [PDF]
Complex dynamical systems, ranging from the climate, ecosystems to financial markets and engineering applications typically have many coexisting attractors. This property of the system is called multistability.
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Is there a climatic attractor?
Nature, 1984Much of our information on climatic evolution during the past million years comes from the time series describing the isotope record of deep-sea cores. A major task of climatology is to identify, from this apparently limited amount of information, the essential features of climate viewed as a dynamic system.
Nicolis, Catherine, Nicolis, Grégoire
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IEEE Security & Privacy, 2008
In this article the authors examine the metrics of where attackers are, and where they seek out victims.
Daniel E. Geer Jr., Daniel G. Conway
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In this article the authors examine the metrics of where attackers are, and where they seek out victims.
Daniel E. Geer Jr., Daniel G. Conway
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Attractors and quasi-attractors of a flow
Journal of Applied Mathematics and Computing, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zuo, Chunyan, Wang, Xiaoxia
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Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2016
Avian Attractor is a gestural projection combining depth images of viewers and pre-captured shots of birds in natural and architectural environment. Surface impressions of viewers merge with those of urban birds and procedural agents that extend their flight paths and trajectories. These moving images are both seen and seen through -- motionscapes that
Judith Doyle, Naoto Hieda
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Avian Attractor is a gestural projection combining depth images of viewers and pre-captured shots of birds in natural and architectural environment. Surface impressions of viewers merge with those of urban birds and procedural agents that extend their flight paths and trajectories. These moving images are both seen and seen through -- motionscapes that
Judith Doyle, Naoto Hieda
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Fractals, 1995
When a chaotic signal is used to force a switching-type variable which dependent on the momentary magnitude of the chaotic stimulus either shows a damped or an autocatalytic response, a new dynamical phenomenon arises. It is reminiscent of the “flares” observed in astrophysical situations.
Rossler, Otto E., Hartmann, Georg C.
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When a chaotic signal is used to force a switching-type variable which dependent on the momentary magnitude of the chaotic stimulus either shows a damped or an autocatalytic response, a new dynamical phenomenon arises. It is reminiscent of the “flares” observed in astrophysical situations.
Rossler, Otto E., Hartmann, Georg C.
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Neural Computation, 2001
Attractor networks, which map an input space to a discrete output space, are useful for pattern completion—cleaning up noisy or missing input features. However, designing a net to have a given set of attractors is notoriously tricky; training procedures are CPU intensive and often produce spurious attractors and ill-conditioned attractor basins.
Richard S. Zemel, Michael Mozer
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Attractor networks, which map an input space to a discrete output space, are useful for pattern completion—cleaning up noisy or missing input features. However, designing a net to have a given set of attractors is notoriously tricky; training procedures are CPU intensive and often produce spurious attractors and ill-conditioned attractor basins.
Richard S. Zemel, Michael Mozer
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WIREs Cognitive Science, 2009
AbstractAn attractor network is a network of neurons with excitatory interconnections that can settle into a stable pattern of firing. This article shows how attractor networks in the cerebral cortex are important for long‐term memory, short‐term memory, attention, and decision making.
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AbstractAn attractor network is a network of neurons with excitatory interconnections that can settle into a stable pattern of firing. This article shows how attractor networks in the cerebral cortex are important for long‐term memory, short‐term memory, attention, and decision making.
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