single cell recording
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2021 ◽  
Vol 18 (3) ◽  
pp. 231-231
Author(s):  
Lin Tang

2019 ◽  
Vol 325 ◽  
pp. 108354 ◽  
Author(s):  
Elena Cid ◽  
Liset M. de la Prida

2018 ◽  
Vol 12 (6) ◽  
pp. 1345-1355 ◽  
Author(s):  
Kevin A. White ◽  
Geoffrey Mulberry ◽  
Jonhoi Smith ◽  
Manfred Lindau ◽  
Bradley A. Minch ◽  
...  

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 657 ◽  
Author(s):  
Gordon Fain ◽  
Alapakkam P. Sampath

We have long known that rod and cone signals interact within the retina and can even contribute to color vision, but the extent of these influences has remained unclear. New results with more powerful methods of RNA expression profiling, specific cell labeling, and single-cell recording have provided greater clarity and are showing that rod and cone signals can mix at virtually every level of signal processing. These interactions influence the integration of retinal signals and make an important contribution to visual perception.


2016 ◽  
Vol 32 (3) ◽  
pp. 380-391 ◽  
Author(s):  
Michele Gubian ◽  
Colin J. Davis ◽  
James S. Adelman ◽  
Jeffrey S. Bowers

Lab on a Chip ◽  
2012 ◽  
Vol 12 (7) ◽  
pp. 1274 ◽  
Author(s):  
Roeland Huys ◽  
Dries Braeken ◽  
Danny Jans ◽  
Andim Stassen ◽  
Nadine Collaert ◽  
...  

2011 ◽  
Vol 23 (6) ◽  
pp. 1549-1566 ◽  
Author(s):  
F. Gregory Ashby ◽  
Matthew J. Crossley

An essential component of skill acquisition is learning the environmental conditions in which that skill is relevant. This article proposes and tests a neurobiologically detailed theory of how such learning is mediated. The theory assumes that a key component of this learning is provided by the cholinergic interneurons in the striatum known as tonically active neurons (TANs). The TANs are assumed to exert a tonic inhibitory influence over cortical inputs to the striatum that prevents the execution of any striatal-dependent actions. The TANs learn to pause in rewarding environments, and this pause releases the striatal output neurons from this inhibitory effect, thereby facilitating the learning and expression of striatal-dependent behaviors. When rewards are no longer available, the TANs cease to pause, which protects striatal learning from decay. A computational version of this theory accounts for a variety of single-cell recording data and some classic behavioral phenomena, including fast reacquisition after extinction.


Author(s):  
M. R. Delong ◽  
A. P. Georgopoulos ◽  
M. D. Crutcher ◽  
S. J. Mitchell ◽  
R. T. Richardson ◽  
...  

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