Journal of Neuroscience · 2013 · 59 citations · 27 references
Life SciencesBiologyNeuroscienceCellular NeuroscienceNeurophysiologySystems NeuroscienceMembrane ExcitabilityMotor Neuron PhysiologyNeural CircuitsNeural ExcitabilityNeuronal DynamicsNeuronal ExcitabilityComputational Models Of ExcitabilityConductanceConductance-based ModelsConductance-based Neuron ModelsExcitability Regulation
Biological and theoretical evidence suggest that individual neurons may achieve similar outputs by differentially balancing variable underlying ionic conductances. Despite the substantial amount of data consistent with this idea, a direct biological demonstration that cells with conserved output, particularly within the same network, achieve these outputs via different solutions has been difficult to achieve. Here we demonstrate definitively that neurons from native neural networks with highly similar output achieve this conserved output by differentially tuning underlying conductance magnitudes. Multiple motor neurons of the crab (Cancer borealis) cardiac ganglion have highly conserved output within a preparation, despite showing a 2-4-fold range of conductance magnitudes. By blocking subsets of these currents, we demonstrate that the remaining conductances become unbalanced, causing disparate output as a result. Therefore, as strategies to understand neuronal excitability become increasingly sophisticated, it is important that such variability in excitability of neurons, even among those within the same individual, is taken into account.
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