Results 231 to 240 of about 11,032 (269)
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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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Some properties of attractors and quasi-attractors
Chaos, Solitons & Fractals, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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ATTRACTORS IN CONSERVATIVE SYSTEMS
International Journal of Bifurcation and Chaos, 2006Normally, conservative systems do not have attractors. However, in a system with escapes, the infinity acts as an attractor. Furthermore, attractors may appear as singularities at a finite distance. We consider the basins of escape in a particular Hamiltonian system with escapes and the rates of escape for various values of the parameters.
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Generating novel multi-scroll chaotic attractors via fractal transformation
Nonlinear Dynamics, 2022Dengwei Yan, Musha Ji’E, Lidan Wang
exaly
Various patterns of coexisting attractors in a hyperchaotic map
Nonlinear Dynamics, 2023Chunbiao Li, Yongxin Li, Tengfei Lei
exaly