Electrophysiological and visual tags

Nicholas Graziane; Yan Dong

doi:10.1007/978-1-4939-3274-0_21

Electrophysiological and visual tags

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Just like we can identify friends based on physical characteristics (voice, appearance, etc.), so too can we identify synaptic proteins or neurons based on their electrophysiological characteristics. This chapter discusses different approaches to electrophysiologically identify specific synaptic receptors or specific neuronal types including examples in which these approaches have been implemented experimentally.

Original language	English (US)
Title of host publication	Neuromethods
Publisher	Humana Press Inc.
Pages	235-245
Number of pages	11
DOIs	https://doi.org/10.1007/978-1-4939-3274-0_21
State	Published - 2015

Publication series

Name	Neuromethods
Volume	112
ISSN (Print)	0893-2336
ISSN (Electronic)	1940-6045

All Science Journal Classification (ASJC) codes

General Neuroscience
General Biochemistry, Genetics and Molecular Biology
Pharmacology, Toxicology and Pharmaceutics(all)
Psychiatry and Mental health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-1-4939-3274-0_21

Cite this

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title = "Electrophysiological and visual tags",

abstract = "Just like we can identify friends based on physical characteristics (voice, appearance, etc.), so too can we identify synaptic proteins or neurons based on their electrophysiological characteristics. This chapter discusses different approaches to electrophysiologically identify specific synaptic receptors or specific neuronal types including examples in which these approaches have been implemented experimentally.",

author = "Nicholas Graziane and Yan Dong",

year = "2015",

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language = "English (US)",

series = "Neuromethods",

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PB - Humana Press Inc.

ER -

Electrophysiological and visual tags

Abstract

Publication series

All Science Journal Classification (ASJC) codes

UN SDGs

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