scholarly journals Stochastic inference with spiking neurons in the high-conductance state

2016 ◽  
Vol 94 (4) ◽  
Author(s):  
Mihai A. Petrovici ◽  
Johannes Bill ◽  
Ilja Bytschok ◽  
Johannes Schemmel ◽  
Karlheinz Meier
eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Maria C Renner ◽  
Eva HH Albers ◽  
Nicolas Gutierrez-Castellanos ◽  
Niels R Reinders ◽  
Aile N van Huijstee ◽  
...  

Excitatory synaptic transmission is mediated by AMPA-type glutamate receptors (AMPARs). In CA1 pyramidal neurons of the hippocampus two types of AMPARs predominate: those that contain subunits GluA1 and GluA2 (GluA1/2), and those that contain GluA2 and GluA3 (GluA2/3). Whereas subunits GluA1 and GluA2 have been extensively studied, the contribution of GluA3 to synapse physiology has remained unclear. Here we show in mice that GluA2/3s are in a low-conductance state under basal conditions, and although present at synapses they contribute little to synaptic currents. When intracellular cyclic AMP (cAMP) levels rise, GluA2/3 channels shift to a high-conductance state, leading to synaptic potentiation. This cAMP-driven synaptic potentiation requires the activation of both protein kinase A (PKA) and the GTPase Ras, and is induced upon the activation of β-adrenergic receptors. Together, these experiments reveal a novel type of plasticity at CA1 hippocampal synapses that is expressed by the activation of GluA3-containing AMPARs.


Scholarpedia ◽  
2007 ◽  
Vol 2 (11) ◽  
pp. 1341 ◽  
Author(s):  
Alain Destexhe

FEBS Letters ◽  
1997 ◽  
Vol 416 (2) ◽  
pp. 187-189 ◽  
Author(s):  
C.M.M Carneiro ◽  
O.V Krasilnikov ◽  
L.N Yuldasheva ◽  
A.C Campos de Carvalho ◽  
R.A Nogueira

2005 ◽  
Vol 127 (1) ◽  
pp. 51-66 ◽  
Author(s):  
Sonia Traverso ◽  
Giovanni Zifarelli ◽  
Rita Aiello ◽  
Michael Pusch

CLC Cl− channels are homodimers in which each subunit has a proper pore and a (fast) gate. An additional slow gate acts on both pores. A conserved glutamate (E166 in CLC-0) is a major determinant of gating in CLC-0 and is crucially involved in Cl−/H+ antiport of CLC-ec1, a CLC of known structure. We constructed tandem dimers with one wild-type (WT) and one mutant subunit (E166A or E166D) to show that these mutations of E166 specifically alter the fast gate of the pore to which they belong without effect on the fast gate of the neighboring pore. In addition both mutations activate the common slow gate. E166A pores have a large, voltage-independent open probability of the fast gate (popen), whereas popen of E166D pores is dramatically reduced. Similar to WT, popen of E166D was increased by lowering pHint. At negative voltages, E166D presents a persistent inward current that is blocked by p-chlorophenoxy-acetic acid (CPA) and increased at low pHext. The pHext dependence of the persistent current is analogous to a similar steady inward current in WT CLC-0. Surprisingly, however, the underlying unitary conductance of the persistent current in E166D is about an order of magnitude smaller than that of the transient deactivating inward Cl− current. Collectively, our data support the possibility that the mutated CLC-0 channel E166D can assume two distinct open states. Voltage-independent protonation of D166 from the outside favors a low conductance state, whereas protonation from the inside favors the high conductance state.


2003 ◽  
Vol 4 (9) ◽  
pp. 739-751 ◽  
Author(s):  
Alain Destexhe ◽  
Michael Rudolph ◽  
Denis Paré

2008 ◽  
Vol 20 (1) ◽  
pp. 1-43 ◽  
Author(s):  
Arvind Kumar ◽  
Sven Schrader ◽  
Ad Aertsen ◽  
Stefan Rotter

We studied the dynamics of large networks of spiking neurons with conductance-based (nonlinear) synapses and compared them to networks with current-based (linear) synapses. For systems with sparse and inhibition-dominated recurrent connectivity, weak external inputs induced asynchronous irregular firing at low rates. Membrane potentials fluctuated a few millivolts below threshold, and membrane conductances were increased by a factor 2 to 5 with respect to the resting state. This combination of parameters characterizes the ongoing spiking activity typically recorded in the cortex in vivo. Many aspects of the asynchronous irregular state in conductance-based networks could be sufficiently well characterized with a simple numerical mean field approach. In particular, it correctly predicted an intriguing property of conductance-based networks that does not appear to be shared by current-based models: they exhibit states of low-rate asynchronous irregular activity that persist for some period of time even in the absence of external inputs and without cortical pacemakers. Simulations of larger networks (up to 350,000 neurons) demonstrated that the survival time of self-sustained activity increases exponentially with network size.


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