Speed-invariant encoding of looming object distance requires power law spike rate adaptation. (Q30543176)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23898185%20AND%20SRC:MED&resulttype=core&format=json

6 March 2020

title

Speed-invariant encoding of looming object distance requires power law spike rate adaptation (English)

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6 March 2020

2

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6 March 2020

author name string

Stephen E Clarke

series ordinal

1

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6 March 2020

André Longtin

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3

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6 March 2020

Leonard Maler

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4

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6 March 2020

language of work or name

English

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publication date

29 July 2013

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Proceedings of the National Academy of Sciences of the United States of America

6 March 2020

published in

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6 March 2020

volume

110

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6 March 2020

issue

33

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6 March 2020

page(s)

13624-13629

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Efficient computation via sparse coding in electrosensory neural networks

6 March 2020

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14 July 2018

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21 January 2018

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Integrate-and-fire neurons with threshold noise: a tractable model of how interspike interval correlations affect neuronal signal transmission

21 January 2018

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In vivo Ca2+ dynamics in a cricket auditory neuron: an example of chemical computation.

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12 December 2020

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12 December 2020

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Identifiers

DOI

10.1073/PNAS.1306428110

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6 March 2020

0 references

1 reference

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6 March 2020

PubMed publication ID

23898185

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