Shifting Spike Times or Adding and Deleting Spikes—How Different Types of Noise Shape Signal Transmission in Neural Populations

@inproceedings{Voronenko2015ShiftingST,
  title={Shifting Spike Times or Adding and Deleting Spikes—How Different Types of Noise Shape Signal Transmission in Neural Populations},
  author={Sergej O. Voronenko and Wilhelm Stannat and Benjamin Lindner},
  booktitle={Journal of mathematical neuroscience},
  year={2015}
}
We study a population of spiking neurons which are subject to independent noise processes and a strong common time-dependent input. We show that the response of output spikes to independent noise shapes information transmission of such populations even when information transmission properties of single neurons are left unchanged. In particular, we consider two Poisson models in which independent noise either (i) adds and deletes spikes (AD model) or (ii) shifts spike times (STS model). We show… CONTINUE READING