Shea-Brown Eric, Josić Kresimir, de la Rocha Jaime, Doiron Brent
Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, USA.
Phys Rev Lett. 2008 Mar 14;100(10):108102. doi: 10.1103/PhysRevLett.100.108102. Epub 2008 Mar 11.
We study how pairs of neurons transfer correlated input currents into correlated spikes. Over rapid time scales, correlation transfer increases with both spike time variability and rate; the dependence on variability disappears at large time scales. This persists for a nonlinear membrane model and for heterogeneous cell pairs, but strong nonmonotonicities follow from refractory effects. We present consequences for population coding and for the encoding of time-varying stimuli.
我们研究神经元对如何将相关的输入电流转化为相关的尖峰。在快速时间尺度上，相关性传递随着尖峰时间变异性和发放率的增加而增加；在大时间尺度上，对变异性的依赖性消失。这在非线性膜模型和异质细胞对中都成立，但不应期效应会导致强烈的非单调性。我们展示了其对群体编码和时变刺激编码的影响。
