Abstract：
:The mechanisms and impact of correlated, or synchronous, firing among pairs and groups of neurons are under intense investigation throughout the nervous system. A ubiquitous circuit feature that can give rise to such correlations consists of overlapping, or common, inputs to pairs and populations of cells, leading to common spike train responses. Here, we use computational tools to study how the transfer of common input currents into common spike outputs is modulated by the physiology of the recipient cells. We focus on a key conductance, g(A), for the A-type potassium current, which drives neurons between "type II" excitability (low g(A)), and "type I" excitability (high g(A)). Regardless of g(A), cells transform common input fluctuations into a tendency to spike nearly simultaneously. However, this process is more pronounced at low g(A) values. Thus, for a given level of common input, type II neurons produce spikes that are relatively more correlated over short time scales. Over long time scales, the trend reverses, with type II neurons producing relatively less correlated spike trains. This is because these cells' increased tendency for simultaneous spiking is balanced by an anticorrelation of spikes at larger time lags. These findings extend and interpret prior findings for phase oscillators to conductance-based neuron models that cover both oscillatory (superthreshold) and subthreshold firing regimes. We demonstrate a novel implication for neural signal processing: downstream cells with long time constants are selectively driven by type I cell populations upstream and those with short time constants by type II cell populations. Our results are established via high-throughput numerical simulations and explained via the cells' filtering properties and nonlinear dynamics.
journal_name
J Neurophysioljournal_title
Journal of neurophysiologyauthors
Barreiro AK,Thilo EL,Shea-Brown Edoi
10.1152/jn.00928.2011subject
Has Abstractpub_date
2012-09-01 00:00:00pages
1631-45issue
6eissn
0022-3077issn
1522-1598pii
jn.00928.2011journal_volume
108pub_type
杂志文章abstract：:1. The homeostatic model of delta sleep has provided a useful framework for basic sleep research. This model is based on the relation of delta EEG to the duration of prior waking in man, a relation highlighted by the marked increase (rebound) in the delta EEG of nonrapid eye movement (NREM) sleep that follows total sl...
journal_title：Journal of neurophysiology
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pub_type： 杂志文章
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pub_type： 杂志文章
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journal_title：Journal of neurophysiology
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pub_type： 杂志文章
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pub_type： 杂志文章
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journal_title：Journal of neurophysiology
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pub_type： 杂志文章
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pub_type： 杂志文章
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更新日期：1998-02-01 00:00:00
