Results 241 to 250 of about 87,240 (291)
Reduced task-switching flexibility in parietal-cingulate and frontal circuits associated with brooding. [PDF]
Cogn NeurodynSingh S, Shaw SB, Becker S.
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CLL to Richter syndrome: Integrating network strategies with experiments elucidating disease drivers and personalized therapies. [PDF]
Sci AdvMaier J +7 more
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The Mechanism of Boron-Carbon Bond Formation in the DA Reaction of the Pyridine Adduct of Borabenzene with Acetylene: A Topological Analysis of the ELF Function and Catastrophe Theory. [PDF]
MoleculesBerski S.
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Systolic blood pressure estimation method using electrocardiogram RRI data. [PDF]
Sci RepFujita E +13 more
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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.
Zemel, Richard S., Mozer, Michael C.
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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.
Zemel, Richard S., Mozer, Michael C.
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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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Journal of Cosmology and Astroparticle Physics, 2022
Abstract Inflationary α-attractor models can be naturally implemented in supergravity with hyperbolic geometry. They have stable predictions for observables, such as ns = 1 - 2/Ne , assuming that the potential in terms of the original geometric variables, as well as its derivatives, are not ...
Kallosh, Renata, Linde, Andrei
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Abstract Inflationary α-attractor models can be naturally implemented in supergravity with hyperbolic geometry. They have stable predictions for observables, such as ns = 1 - 2/Ne , assuming that the potential in terms of the original geometric variables, as well as its derivatives, are not ...
Kallosh, Renata, Linde, Andrei
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Random Point Attractors Versus Random Set Attractors
Journal of the London Mathematical Society, 2001Summary: The notion of an attractor for a random dynamical system with respect to a general collection of deterministic sets is introduced. This comprises, in particular, global point attractors and global set attractors. After deriving a necessary and sufficient condition for existence of the corresponding attractors it is proved that a global set ...
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