Neuronal Adaptation: Tired Neurons or Wired Networks?

dc.contributor.author

Mayo, J Patrick

dc.contributor.author

Smith, Matthew A

dc.date.accessioned

2019-04-11T14:38:11Z

dc.date.available

2019-04-11T14:38:11Z

dc.date.issued

2017-03

dc.date.updated

2019-04-11T14:38:10Z

dc.description.abstract

Neuronal adaptation - time-dependent modulation of sensory responses following sequential stimuli - is thought to be a consequence of synaptic plasticity. But recent, empirically-grounded, modeling by Quiroga and colleagues demonstrates that the adaptation of visual cortical responses can be described by recurrent network connections with fixed synaptic weights.

dc.identifier

S0166-2236(16)30178-3

dc.identifier.issn

0166-2236

dc.identifier.issn

1878-108X

dc.identifier.uri

https://hdl.handle.net/10161/18316

dc.language

eng

dc.publisher

Elsevier BV

dc.relation.ispartof

Trends in neurosciences

dc.relation.isversionof

10.1016/j.tins.2016.12.001

dc.subject

Visual Cortex

dc.subject

Nerve Net

dc.subject

Neurons

dc.subject

Neuronal Plasticity

dc.subject

Models, Neurological

dc.title

Neuronal Adaptation: Tired Neurons or Wired Networks?

dc.type

Journal article

duke.contributor.orcid

Mayo, J Patrick|0000-0001-5696-4667

pubs.begin-page

127

pubs.end-page

128

pubs.issue

3

pubs.organisational-group

Staff

pubs.organisational-group

Duke

pubs.organisational-group

Neurobiology

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

School of Medicine

pubs.publication-status

Published

pubs.volume

40

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