Estimating time with neural networks

Hugo Merchant

doi:10.1038/s42256-020-00229-3

2020-09-14

PRE

Hugo Merchant *

Oswaldo Pérez

DOI：10.1038/s42256-020-00229-3

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摘要

En 中文

The proper response to an ever-changing environment depends on the ability to quantify elapsed time, memorize short intervals and forecast when an upcoming experience may occur. A recent study describes the encoding principles of these three types of time using computational modelling.

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期刊

Nature Machine Intelligence

IF:

23.9

论文数:

1.3K

被引数:

1.5W

机构

Universidad Nacional Autonoma de Mexico

学者数:

3.8W

论文数: 2.6W

被引数: 28

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