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Location-Dependent Effects of Inhibition on Local Spiking in Pyramidal Neuron Dendrites

Overview of attention for article published in PLoS Computational Biology, June 2012
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Title
Location-Dependent Effects of Inhibition on Local Spiking in Pyramidal Neuron Dendrites
Published in
PLoS Computational Biology, June 2012
DOI 10.1371/journal.pcbi.1002550
Pubmed ID
Authors

Monika Jadi, Alon Polsky, Jackie Schiller, Bartlett W. Mel

Abstract

Cortical computations are critically dependent on interactions between pyramidal neurons (PNs) and a menagerie of inhibitory interneuron types. A key feature distinguishing interneuron types is the spatial distribution of their synaptic contacts onto PNs, but the location-dependent effects of inhibition are mostly unknown, especially under conditions involving active dendritic responses. We studied the effect of somatic vs. dendritic inhibition on local spike generation in basal dendrites of layer 5 PNs both in neocortical slices and in simple and detailed compartmental models, with equivalent results: somatic inhibition divisively suppressed the amplitude of dendritic spikes recorded at the soma while minimally affecting dendritic spike thresholds. In contrast, distal dendritic inhibition raised dendritic spike thresholds while minimally affecting their amplitudes. On-the-path dendritic inhibition modulated both the gain and threshold of dendritic spikes depending on its distance from the spike initiation zone. Our findings suggest that cortical circuits could assign different mixtures of gain vs. threshold inhibition to different neural pathways, and thus tailor their local computations, by managing their relative activation of soma- vs. dendrite-targeting interneurons.

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The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Germany 3 1%
United Kingdom 2 <1%
Greece 2 <1%
India 1 <1%
France 1 <1%
Belarus 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Other 1 <1%
Unknown 189 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 30%
Researcher 45 22%
Professor 18 9%
Student > Bachelor 16 8%
Student > Master 15 7%
Other 27 13%
Unknown 24 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 39%
Neuroscience 61 29%
Physics and Astronomy 9 4%
Computer Science 8 4%
Medicine and Dentistry 6 3%
Other 15 7%
Unknown 27 13%