Gell-Mann–Low Criticality in Neural Networks
Lorenzo Tiberi, Jonas Stapmanns, Tobias Kühn, Thomas Luu, David Dahmen, and Moritz Helias
Phys. Rev. Lett. 128, 168301 (2022) – Published 19 April 2022
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Scientists have applied a technique called renormalization—used often in quantum field theory—to investigate how the brain stores and processes information.

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General Physics: Statistical and Quantum Mechanics, Quantum Information, etc.
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Ideal Quantum Teleamplification up to a Selected Energy Cutoff Using Linear Optics
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Phys. Rev. Lett. 128, 160502 (2022) – Published 19 April 2022
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Gravitation and Astrophysics
Finding Structure in the Speed of Sound of Supranuclear Matter from Binary Love Relations
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Constraints on the Maximum Densities of Neutron Stars from Postmerger Gravitational Waves with Third-Generation Observations
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Condensed Matter: Structure, etc.
Template-Induced Precursor Formation in Heterogeneous Nucleation: Controlling Polymorph Selection and Nucleation Efficiency
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Phys. Rev. Lett. 128, 166001 (2022) – Published 19 April 2022
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Condensed Matter: Electronic Properties, etc.
Anomalies at the Dirac Point in Graphene and Its Hole-Doped Compositions
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Phonon-Assisted Luminescence in Defect Centers from Many-Body Perturbation Theory
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Phys. Rev. Lett. 128, 167401 (2022) – Published 18 April 2022
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Polymer, Soft Matter, Biological, Climate, and Interdisciplinary Physics
Featured in Physics Editors' Suggestion
Gell-Mann–Low Criticality in Neural Networks
Lorenzo Tiberi, Jonas Stapmanns, Tobias Kühn, Thomas Luu, David Dahmen, and Moritz Helias
Phys. Rev. Lett. 128, 168301 (2022) – Published 19 April 2022
Physics logo:

Scientists have applied a technique called renormalization—used often in quantum field theory—to investigate how the brain stores and processes information.

Show Abstract
PDFHTML