Correlated neuronal activity and its relationship to coding, dynamics and network architecture / topic editors Robert Rosenbaum, Tatjana Tchumatchenko and Rubén Moreno-Bote.
Correlated activity in populations of neurons has been observed in many brain regions and plays a central role in cortical coding, attention, and network dynamics. Accurately quantifying neuronal correlations presents several difficulties. For example, despite recent advances in multicellular record...
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| Superior document: | Frontiers Research Topics |
|---|---|
| : | |
| Place / Publishing House: | France : : Frontiers Media SA,, 2014 |
| Year of Publication: | 2014 |
| Language: | English |
| Series: | Frontiers Research Topics
|
| Physical Description: | 1 online resource (237 pages) :; illustrations, charts. |
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| 100 | 1 | |a Tatjana Tchumatchenko |4 auth | |
| 245 | 1 | 0 | |a Correlated neuronal activity and its relationship to coding, dynamics and network architecture |h [electronic resource] / |c topic editors Robert Rosenbaum, Tatjana Tchumatchenko and Rubén Moreno-Bote. |
| 260 | |b Frontiers Media SA |c 2014 | ||
| 264 | 1 | |a France : |b Frontiers Media SA, |c 2014 | |
| 300 | |a 1 online resource (237 pages) : |b illustrations, charts. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |2 rda | ||
| 490 | 1 | |a Frontiers Research Topics | |
| 504 | |a Includes bibliographical references. | ||
| 520 | |a Correlated activity in populations of neurons has been observed in many brain regions and plays a central role in cortical coding, attention, and network dynamics. Accurately quantifying neuronal correlations presents several difficulties. For example, despite recent advances in multicellular recording techniques, the number of neurons from which spiking activity can be simultaneously recorded remains orders magnitude smaller than the size of local networks. In addition, there is a lack of consensus on the distribution of pairwise spike cross correlations obtained in extracellular multi-unit recordings. These challenges highlight the need for theoretical and computational approaches to understand how correlations emerge and to decipher their functional role in the brain. | ||
| 546 | |a English | ||
| 650 | 0 | |a Neurons. | |
| 650 | 0 | |a Brain function. | |
| 653 | |a Neural coding | ||
| 653 | |a neural synchrony | ||
| 653 | |a spike train analysis | ||
| 653 | |a neuronal networks | ||
| 653 | |a noise correlation | ||
| 653 | |a Neuronal correlations | ||
| 700 | 1 | |a Robert Rosenbaum |4 auth | |
| 700 | 1 | |a Ruben Moreno-Bote |4 auth | |
| ADM | |b 2023-06-25 11:20:26 Europe/Vienna |d 00 |f system |c marc21 |a 2016-03-17 15:52:20 Europe/Vienna |g false | ||
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