synaptic receptor
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2020 ◽  
Author(s):  
Thomas P. Jensen ◽  
Olga Kopach ◽  
Leonid P. Savchenko ◽  
James P. Reynolds ◽  
Dmitri A. Rusakov

ABSTRACTDendritic integration of synaptic inputs entangles their increased electrotonic attenuation at distal dendrites, which can be counterbalanced by the increased synaptic receptor density. However, during sustained network activity the influence of individual synapses depends on their release properties. How these properties are distributed along dendrites remains poorly understood. Here, we employed classical optical quantal analyses and a genetically encoded optical glutamate sensor in acute hippocampal slices to monitor release at CA3-CA1 synapses. We find that their release probability increases with greater distances from the soma. Similar-fidelity synapses tend to group together whereas release probability shows no trends regarding the within-branch position. Simulations with a realistic CA1 pyramidal cell hosting stochastic synapses suggest that the observed trends boost signal transfer fidelity, particularly at higher input frequencies. Because high-frequency bursting has been associated with learning, the release probability pattern we have found may play a key role in memory trace formation.


2020 ◽  
Vol 598 (17) ◽  
pp. 3545-3546
Author(s):  
Michael S. Finch ◽  
Ahmed Bagit ◽  
Daniel M. Marko

2018 ◽  
Vol 41 (8) ◽  
pp. 486-488 ◽  
Author(s):  
Sharon A. Swanger ◽  
Stephen F. Traynelis

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Katherine D. Gribble ◽  
Lauren J. Walker ◽  
Louis Saint-Amant ◽  
John Y. Kuwada ◽  
Michael Granato

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
A. Patrizio ◽  
M. Renner ◽  
R. Pizzarelli ◽  
A. Triller ◽  
C. G. Specht

2016 ◽  
Vol 115 (6) ◽  
pp. 3073-3089 ◽  
Author(s):  
Jyothsna Suresh ◽  
Mihailo Radojicic ◽  
Lorenzo L. Pesce ◽  
Anita Bhansali ◽  
Janice Wang ◽  
...  

The goal of this work was to define the contributions of intrinsic and synaptic mechanisms toward spontaneous network-wide bursting activity, observed in dissociated rat hippocampal cell cultures. This network behavior is typically characterized by short-duration bursts, separated by order of magnitude longer interburst intervals. We hypothesize that while short-timescale synaptic processes modulate spectro-temporal intraburst properties and network-wide burst propagation, much longer timescales of intrinsic membrane properties such as persistent sodium (Nap) currents govern burst onset during interburst intervals. To test this, we used synaptic receptor antagonists picrotoxin, 6-cyano-7-nitroquinoxaline-2,3-dione (CNQX), and 3-(2-carboxypiperazine-4-yl)propyl-1-phosphonate (CPP) to selectively block GABAA, AMPA, and NMDA receptors and riluzole to selectively block Napchannels. We systematically compared intracellular activity (recorded with patch clamp) and network activity (recorded with multielectrode arrays) in eight different synaptic connectivity conditions: GABAA+ NMDA + AMPA, NMDA + AMPA, GABAA+ AMPA, GABAA+ NMDA, AMPA, NMDA, GABAA, and all receptors blocked. Furthermore, we used mixed-effects modeling to quantify the aforementioned independent and interactive synaptic receptor contributions toward spectro-temporal burst properties including intraburst spike rate, burst activity index, burst duration, power in the local field potential, network connectivity, and transmission delays. We found that blocking intrinsic Napcurrents completely abolished bursting activity, demonstrating their critical role in burst onset within the network. On the other hand, blocking different combinations of synaptic receptors revealed that spectro-temporal burst properties are uniquely associated with synaptic functionality and that excitatory connectivity is necessary for the presence of network-wide bursting. In addition to confirming the critical contribution of direct excitatory effects, mixed-effects modeling also revealed distinct combined (nonlinear) contributions of excitatory and inhibitory synaptic activity to network bursting properties.


2016 ◽  
Vol 110 (3) ◽  
pp. 371a
Author(s):  
Yiwei Li ◽  
Osman Kahraman ◽  
Christoph Haselwandter

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