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Input-specific excitation of olfactory cortex microcircuits

Overview of attention for article published in Frontiers in Neural Circuits, January 2012
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Title
Input-specific excitation of olfactory cortex microcircuits
Published in
Frontiers in Neural Circuits, January 2012
DOI 10.3389/fncir.2012.00069
Pubmed ID
Authors

Victor M. Luna, Alexei Morozov

Abstract

Every higher-order association cortex receives a variety of synaptic signals from different regions of the brain. How these cortical networks are capable of differentially responding to these various extrinsic synaptic inputs remains unclear. To address this issue, we studied how the basolateral amygdala (BLA) and the anterior piriform cortex (aPC) were functionally connected to the association olfactory cortex, the posterior piriform cortex (pPC). We infected the BLA and aPC with adeno-associated virus expressing channelrhodopsin-2-Venus fusion protein (ChR2-AAV) and recorded the excitatory postsynaptic currents (EPSC) resulting from photostimulation of either BLA or aPC axons in the major classes of excitatory and inhibitory neurons of the pPC. We found that BLA and aPC axons evoked monosynaptic EPSCs in every type of pPC neuron, but each fiber system preferentially targeted one excitatory and one inhibitory neuronal subtype. BLA fibers were most strongly connected to deep pyramidal cells (DP) and fast-spiking interneurons (FS), while aPC axons formed the strongest synaptic connections with DPs and irregular-spiking interneurons (IR). Overall, our findings show that the pPC differentially responds to amygdaloid versus cortical inputs by utilizing distinct local microcircuits, each defined by one predominant interneuronal subtype: FS for the BLA and IR for the aPC. It would thus seem that preferential excitation of a single neuronal class could be sufficient for the pPC to generate unique electrophysiological outputs in response to divergent synaptic input sources.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
United Kingdom 1 2%
Spain 1 2%
United States 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 25%
Student > Ph. D. Student 11 23%
Professor > Associate Professor 4 8%
Student > Master 3 6%
Student > Bachelor 2 4%
Other 6 13%
Unknown 10 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 35%
Neuroscience 13 27%
Medicine and Dentistry 4 8%
Psychology 1 2%
Unspecified 1 2%
Other 0 0%
Unknown 12 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2012.
All research outputs
#20,166,700
of 22,678,224 outputs
Outputs from Frontiers in Neural Circuits
#1,023
of 1,207 outputs
Outputs of similar age
#221,187
of 244,101 outputs
Outputs of similar age from Frontiers in Neural Circuits
#44
of 73 outputs
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