Chapter title |
Imaging Submillisecond Membrane Potential Changes from Individual Regions of Single Axons, Dendrites and Spines.
|
---|---|
Chapter number | 3 |
Book title |
Membrane Potential Imaging in the Nervous System and Heart
|
Published in |
Advances in experimental medicine and biology, January 2015
|
DOI | 10.1007/978-3-319-17641-3_3 |
Pubmed ID | |
Book ISBNs |
978-3-31-917640-6, 978-3-31-917641-3
|
Authors |
Popovic, Marko, Vogt, Kaspar, Holthoff, Knut, Konnerth, Arthur, Salzberg, Brian M, Grinvald, Amiram, Antic, Srdjan D, Canepari, Marco, Zecevic, Dejan, Marko Popovic, Kaspar Vogt, Knut Holthoff, Arthur Konnerth, Brian M. Salzberg, Amiram Grinvald, Srdjan D. Antic, Marco Canepari, Dejan Zecevic |
Abstract |
A central question in neuronal network analysis is how the interaction between individual neurons produces behavior and behavioral modifications. This task depends critically on how exactly signals are integrated by individual nerve cells functioning as complex operational units. Regional electrical properties of branching neuronal processes which determine the input-output function of any neuron are extraordinarily complex, dynamic, and, in the general case, impossible to predict in the absence of detailed measurements. To obtain such a measurement one would, ideally, like to be able to monitor, at multiple sites, subthreshold events as they travel from the sites of origin (synaptic contacts on distal dendrites) and summate at particular locations to influence action potential initiation. It became possible recently to carry out this type of measurement using high-resolution multisite recording of membrane potential changes with intracellular voltage-sensitive dyes. This chapter reviews the development and foundation of the method of voltage-sensitive dye recording from individual neurons. Presently, this approach allows monitoring membrane potential transients from all parts of the dendritic tree as well as from axon collaterals and individual dendritic spines. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 6% |
Switzerland | 1 | 3% |
Unknown | 30 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 30% |
Researcher | 6 | 18% |
Student > Master | 5 | 15% |
Professor > Associate Professor | 3 | 9% |
Librarian | 2 | 6% |
Other | 3 | 9% |
Unknown | 4 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 10 | 30% |
Agricultural and Biological Sciences | 5 | 15% |
Physics and Astronomy | 4 | 12% |
Biochemistry, Genetics and Molecular Biology | 4 | 12% |
Medicine and Dentistry | 2 | 6% |
Other | 5 | 15% |
Unknown | 3 | 9% |