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Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes.

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Title: Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes.
Authors: May, Lilly1 (AUTHOR) lilly.may@tum.de, Dauphin, Alice1,2 (AUTHOR), Gjorgjieva, Julijana1 (AUTHOR) gjorgjieva@tum.de
Source: PLoS Computational Biology. 3/17/2025, Vol. 21 Issue 3, p1-25. 25p.
Database: Academic Search Ultimate
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  Data: Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes.
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  Data: <searchLink fieldCode="AR" term="%22May%2C+Lilly%22">May, Lilly</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lilly.may@tum.de</i><br /><searchLink fieldCode="AR" term="%22Dauphin%2C+Alice%22">Dauphin, Alice</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gjorgjieva%2C+Julijana%22">Gjorgjieva, Julijana</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gjorgjieva@tum.de</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 3/17/2025, Vol. 21 Issue 3, p1-25. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=183764015
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1371/journal.pcbi.1012830
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      – Code: eng
        Text: English
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      – TitleFull: Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes.
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            NameFull: May, Lilly
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            NameFull: Dauphin, Alice
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              Text: 3/17/2025
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              Y: 2025
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