Black-hole evaporation from the perspective of neural networks

Ivan Arraut

doi:10.1209/0295-5075/124/50002

Black-hole evaporation from the perspective of neural networks

Ivan Arraut

Hong Kong Metropolitan University

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

We study the black-hole evaporation from the perspective of neural networks. We then analyze the evolution of the Hamiltonian, finding in this way the conditions under which the synapse connecting the neurons changes from gravitatory to inhibitory during the evaporation process.

Original language	English
Article number	50002
Journal	EPL
Volume	124
Issue number	5
DOIs	https://doi.org/10.1209/0295-5075/124/50002
Publication status	Published - Dec 2018

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title = "Black-hole evaporation from the perspective of neural networks",

abstract = "We study the black-hole evaporation from the perspective of neural networks. We then analyze the evolution of the Hamiltonian, finding in this way the conditions under which the synapse connecting the neurons changes from gravitatory to inhibitory during the evaporation process.",

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Black-hole evaporation from the perspective of neural networks

Abstract

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