作者: J. L. Ransdell , S. S. Nair , D. J. Schulz
DOI: 10.1523/JNEUROSCI.1095-13.2013
关键词: Artificial neural network 、 Conductance 、 Biology 、 Variable (computer science) 、 Neuroscience
摘要: 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 cells conserved output, particularly within same network, these via different solutions has been difficult to achieve. Here we demonstrate definitively from native neural networks highly output tuning conductance magnitudes. Multiple motor crab ( Cancer borealis ) cardiac ganglion have preparation, despite showing 2–4-fold range By blocking subsets currents, remaining conductances become unbalanced, causing disparate as result. Therefore, strategies understand neuronal excitability increasingly sophisticated, it is important such variability in neurons, even among those individual, taken into account.